Search Results

Search found 9449 results on 378 pages for 'big marc'.

Page 9/378 | < Previous Page | 5 6 7 8 9 10 11 12 13 14 15 16  | Next Page >

• Best Upper Bound & Best Lower Bound of an Algorithm

  - by Nayefc

  I am studying for a final exam and I came past a question I had on an earlier test. The questions asks us to find the minimum value in an unsorted array of integers. We must provide the best upper bound and the best lower bound that you can for the problem in the worst case. First, in such an example, the upper and lower bound are the same (hence, we can talk in terms of Big-Theta). In the worst case, we would have to go through the whole list as the minimum value would be at the end of the list. Therefore, the answer is Big-Theta(n). Is this a correct & good explanation?

  Read the article

• JSR 360 and JSR 361: A Big Leap for Java ME 8

  - by terrencebarr

  It might have gone unnoticed to some, but Java ME took a big leap forward a couple of weeks ago with the filing of two new JSRs: JSR 360: “Connected Limited Device Configuration 8″ (aka CLDC 8) JSR 361: “Java ME Embedded Profile” (aka ME EP) Together, these two JSRs will significantly update, enhance, and modernize the Java ME platform, and specifically small embedded Java, with a host of new features and functionality. JSR 360 – Connected Limited Device Configuration 8 CLDC 8 is based on JSR 139 (CLDC 1.1) and updates the core Java ME VM, language support, libraries, and features to be aligned with Java SE 8. This will include: VM updated to comply with the JVM language specification version 2 Support for SE 7/8 language features like Generics, Assertions, Annotations, Try-with-Resources, and more New libraries such as Collections, NIO subset, Logging API subset A consolidated and enhanced Generic Connection Framework for multi-protocol I/O With CLDC 8, Java ME and Java SE are entering their next phase of alignment – making Java the only technology today that truly scales application development, code re-use, and tooling across the whole range of IT platforms, from small embedded to large enterprise. JSR 361 – Java ME Embedded Profile ME EP is based on JSR 228 (IMP-NG) and updates the specification in key areas to provide a powerful and flexible application environment for small embedded Java platforms, building on the features of CLDC 8:  A new, lightweight component and services model Shared libraries Multi-application concurrency, inter-application communication, and event system Application management API optionality, to address low-footprint use cases With ME EP, application developers will have a modern application environment which allows development and deployment of  modular, robust, sophisticated, and footprint-optimized solutions for a wide range of embedded use cases and devices. Summary While these JSRs are still under development, it’s clear that there are exciting new times ahead for Java ME – turning into a serious application platform while maintaining the focus on resource-constrained devices to address the expected explosion of small, smart, and connected embedded platforms. To learn more, click on the above links for JSR 360 and JSR 361. Or review the JavaOne 2012 online presentations on the topic: CON11300: Expanding the reach of the Java ME Platform CON5943: Java ME 8 Service Platform And stay tuned for more in this space! Cheers, – Terrence Filed under: Mobile & Embedded Tagged: "jsr 360", "jsr 361", "me 8", embedded, Embedded Java, JCP

  Read the article

• JSR 360 and JSR 361: A Big Leap for Java ME 8

  - by terrencebarr

  It might have gone unnoticed to some, but Java ME took a big leap forward a couple of weeks ago with the filing of two new JSRs: JSR 360: “Connected Limited Device Configuration 8″ (aka CLDC 8) JSR 361: “Java ME Embedded Profile” (aka ME EP) Together, these two JSRs will significantly update, enhance, and modernize the Java ME platform, and specifically small embedded Java, with a host of new features and functionality. JSR 360 – Connected Limited Device Configuration 8 CLDC 8 is based on JSR 139 (CLDC 1.1) and updates the core Java ME VM, language support, libraries, and features to be aligned with Java SE 8. This will include: VM updated to comply with the JVM language specification version 2 Support for SE 7/8 language features like Generics, Assertions, Annotations, Try-with-Resources, and more New libraries such as Collections, NIO subset, Logging API subset A consolidated and enhanced Generic Connection Framework for multi-protocol I/O With CLDC 8, Java ME and Java SE are entering their next phase of alignment – making Java the only technology today that truly scales application development, code re-use, and tooling across the whole range of IT platforms, from small embedded to large enterprise. JSR 361 – Java ME Embedded Profile ME EP is based on JSR 228 (IMP-NG) and updates the specification in key areas to provide a powerful and flexible application environment for small embedded Java platforms, building on the features of CLDC 8:  A new, lightweight component and services model Shared libraries Multi-application concurrency, inter-application communication, and event system Application management API optionality, to address low-footprint use cases With ME EP, application developers will have a modern application environment which allows development and deployment of  modular, robust, sophisticated, and footprint-optimized solutions for a wide range of embedded use cases and devices. Summary While these JSRs are still under development, it’s clear that there are exciting new times ahead for Java ME – turning into a serious application platform while maintaining the focus on resource-constrained devices to address the expected explosion of small, smart, and connected embedded platforms. To learn more, click on the above links for JSR 360 and JSR 361. Or review the JavaOne 2012 online presentations on the topic: CON11300: Expanding the reach of the Java ME Platform CON5943: Java ME 8 Service Platform And stay tuned for more in this space! Cheers, – Terrence Filed under: Mobile & Embedded Tagged: "jsr 360", "jsr 361", "me 8", embedded, Embedded Java, JCP

  Read the article

• Real-time Big Data Analytics is a reality for StubHub with Oracle Advanced Analytics

  - by Mark Hornick

  What can you use for a comprehensive platform for real-time analytics? How can you process big data volumes for near-real-time recommendations and dramatically reduce fraud? Learn in this video what Stubhub achieved with Oracle R Enterprise from the Oracle Advanced Analytics option to Oracle Database, and read more on their story here. Advanced analytics solutions that impact the bottom line of a business are challenging due to the range of skills and individuals involved in realizing such solutions. While we hear a lot about the role of the data scientist, that role is but one piece of the puzzle. Advanced analytics solutions also have an operationalization aspect that also requires close proximity to where the transactional activity occurs. The data scientist needs access to the right data with which to model the business problem. This involves IT for data collection, management, and administration, as well as ensuring zero downtime (a website needs to be up 24x7). This also involves working with the data scientist to keep predictive models refreshed with the latest scripts. Integrating advanced analytics solutions into enterprise apps involves not just generating predictions, but supporting the whole life-cycle from data collection, to model building, model assessment, and then outcome assessment and feedback to the model building process again. Application and web interface designers need to take into account how end users will see and use the advanced analytics results, e.g., supporting operations staff that need to handle the potentially fraudulent transactions. As just described, advanced analytics projects can be "complicated" from just a human perspective. The extent to which software can simplify the interactions among users and systems will increase the likelihood of project success. The ability to quickly operationalize advanced analytics projects and demonstrate measurable value, means the difference between a successful project and just a nice research report. By standardizing on Oracle Database and SQL invocation of R, along with in-database modeling as found in Oracle Advanced Analytics, expedient model deployment and zero downtime for refreshing models becomes a reality. Meanwhile, data scientists are also able to explore leading edge techniques available in open source. The Oracle solution propels the entire organization forward to realize the value of advanced analytics.

  Read the article

• Using Hadooop (HDInsight) with Microsoft - Two (OK, Three) Options

  - by BuckWoody

  Microsoft has many tools for “Big Data”. In fact, you need many tools – there’s no product called “Big Data Solution” in a shrink-wrapped box – if you find one, you probably shouldn’t buy it. It’s tempting to want a single tool that handles everything in a problem domain, but with large, complex data, that isn’t a reality. You’ll mix and match several systems, open and closed source, to solve a given problem. But there are tools that help with handling data at large, complex scales. Normally the best way to do this is to break up the data into parts, and then put the calculation engines for that chunk of data right on the node where the data is stored. These systems are in a family called “Distributed File and Compute”. Microsoft has a couple of these, including the High Performance Computing edition of Windows Server. Recently we partnered with Hortonworks to bring the Apache Foundation’s release of Hadoop to Windows. And as it turns out, there are actually two (technically three) ways you can use it. (There’s a more detailed set of information here: http://www.microsoft.com/sqlserver/en/us/solutions-technologies/business-intelligence/big-data.aspx, I’ll cover the options at a general level below)  First Option: Windows Azure HDInsight Service  Your first option is that you can simply log on to a Hadoop control node and begin to run Pig or Hive statements against data that you have stored in Windows Azure. There’s nothing to set up (although you can configure things where needed), and you can send the commands, get the output of the job(s), and stop using the service when you are done – and repeat the process later if you wish. (There are also connectors to run jobs from Microsoft Excel, but that’s another post)   This option is useful when you have a periodic burst of work for a Hadoop workload, or the data collection has been happening into Windows Azure storage anyway. That might be from a web application, the logs from a web application, telemetrics (remote sensor input), and other modes of constant collection.   You can read more about this option here:  http://blogs.msdn.com/b/windowsazure/archive/2012/10/24/getting-started-with-windows-azure-hdinsight-service.aspx Second Option: Microsoft HDInsight Server Your second option is to use the Hadoop Distribution for on-premises Windows called Microsoft HDInsight Server. You set up the Name Node(s), Job Tracker(s), and Data Node(s), among other components, and you have control over the entire ecostructure.   This option is useful if you want to  have complete control over the system, leave it running all the time, or you have a huge quantity of data that you have to bulk-load constantly – something that isn’t going to be practical with a network transfer or disk-mailing scheme. You can read more about this option here: http://www.microsoft.com/sqlserver/en/us/solutions-technologies/business-intelligence/big-data.aspx Third Option (unsupported): Installation on Windows Azure Virtual Machines  Although unsupported, you could simply use a Windows Azure Virtual Machine (we support both Windows and Linux servers) and install Hadoop yourself – it’s open-source, so there’s nothing preventing you from doing that.   Aside from being unsupported, there are other issues you’ll run into with this approach – primarily involving performance and the amount of configuration you’ll need to do to access the data nodes properly. But for a single-node installation (where all components run on one system) such as learning, demos, training and the like, this isn’t a bad option. Did I mention that’s unsupported? :) You can learn more about Windows Azure Virtual Machines here: http://www.windowsazure.com/en-us/home/scenarios/virtual-machines/ And more about Hadoop and the installation/configuration (on Linux) here: http://en.wikipedia.org/wiki/Apache_Hadoop And more about the HDInsight installation here: http://www.microsoft.com/web/gallery/install.aspx?appid=HDINSIGHT-PREVIEW Choosing the right option Since you have two or three routes you can go, the best thing to do is evaluate the need you have, and place the workload where it makes the most sense.  My suggestion is to install the HDInsight Server locally on a test system, and play around with it. Read up on the best ways to use Hadoop for a given workload, understand the parts, write a little Pig and Hive, and get your feet wet. Then sign up for a test account on HDInsight Service, and see how that leverages what you know. If you're a true tinkerer, go ahead and try the VM route as well. Oh - there’s another great reference on the Windows Azure HDInsight that just came out, here: http://blogs.msdn.com/b/brunoterkaly/archive/2012/11/16/hadoop-on-azure-introduction.aspx  

  Read the article

• NRF Big Show 2011 -- Part 2

  - by David Dorf

  One of the things I love about attending NRF is visiting the smaller booths to see what new innovative ideas have sprung up. After all, by watching emerging technologies we can get a sense of how the retail experience might change. After NRF I'm hoping to write a post on what I found, if anything, so be sure to check back. At the Oracle Retail booth we'll be demonstrating some of the aspects of the changing retail experience. These demos use a mix of GA and experimental components. Here are some highlights: 1. Checkin We wrote a consumer iPhone app we call Store Gateway that lets consumers access information from the store. They'll start by doing a checkin when they arrive that will alert the store manager via another iPhone app we wrote called Mobile Manager. Additionally, we display a welcome messaging using Starmount's digital sign. 2. Receive Offers There are three interaction points where a store can easily make an offer to a consumer: checkin, product scans, and checkout. For this demo we're calling our Universal Offer Engine at checkin to determine the best offer for this particular consumer. This offer is then displayed on the consumer's phone as well as on the digital sign. 3. Scan Products To thwart consumers from scanning product barcodes, we used Store Inventory Management to print QRCodes on shelf label then provided access to a scanner in the Store Gateway iphone app. When the consumer scans the shelf label they are shown product information provided by the retailer. 4. Checkout While we don't have a NFC-enabled mobile phone, we have a NFC chip that can attach to a phone. We're using this to checkout using a reader provided by ViVOTech. Tap the phone on the reader, and the POS accesses the customer#, coupons, and payment information. This really speeds the checkout process. 5. Digital Receipt After the transaction is complete, a digital copy of the receipt is sent to Intuit's QuickReceipts where consumers to store all their digital receipts. There's even an iPhone app that provides easy access to the receipts. This covers about half of what what we'll be showing, so be sure to stop by. I'll also be talking about how mobile is impacting the retail experience at the Wednesday morning session NRF Mobile Retail Initiative: a Blueprint for Action. See you at the Big Show!

  Read the article

• Big Companies Influence Retail in 2010

  - by David Dorf

  From a retail industry perspective, 2010 will go down as the year mobile went mainstream, the economy recovered from the crash, and Facebook surpassed Google as the most influential online property. While the economy certainly had the biggest impact on the retail industry, a few big companies also exerted influence. Here's a rundown and a look back at 2010: Apple -- Steve Jobs and company continued to lead the mobile pack. Consumers are using their iPhones to shop, retailers are using the iPod Touch for mobile checkout, and both are embracing the iPad as the next wave of technology. The Next Technology from Apple Mobile Platforms in Retail Apple Stores, Touch2Systems, and the iPad Google -- Not to be outdone, Google's Android platform grew faster than Apple's, plus they support QRCodes natively and will probably beat Apple to NFC. Google Checkout, Product Search, and Boutiques.com continue to impact the e-commerce scene. Google Leverages Like.com Facebook -- While the movie The Social Network certainly made Facebook a household name, Connect, Places, and seeing the "like" button all over the Web really pushed Facebook everywhere. 2010 set the foundations for f-commerce. Facebook Participatory Promotions Crowd Savers What's the value of a Facebook fan? Step Aside Google Leveraging Social Networks for Retail Social Shopping at Nine West Groupon -- This newcomer executed on a simple concept flawlessly, making them the fasted company to reach $1B in revenue. (See cool chart from Silicon Alley Insider.) Google's offer of $5-6B wasn't enough, so now they are raising an additional $1B in funding, presumably to buy-up all the copycats across the globe. Changing the Way We Shop Amazon -- As if leading the e-commerce charge wasn't enough, Amazon shook things up with their purchase of Woot and release of their Price Checker mobile app. They continue to push boundaries with Kindle, and don't seem worried about the iPad at all. You Can't Win on Price Amazon Looks at Your Social Graph eBay -- Acquiring Skype didn't exactly work out, but eBay's purchase of PayPal and RedLaser are driving the company forward. They are still a major force. Bump the Bill Oracle, SAP, HP, IBM, and Cisco left their marks on the retail industry as well with various acquisitions and CxO shake-ups. We'll just have to wait and see what 2011 brings next.

  Read the article

• What is the big-O cost function of this algorithm?

  - by ??iu

  How would you characterize the below in big-O notation? rotors = [1,2,3,4,5 ...] widgets = ['a', 'b', 'c', 'd', 'e' ...] assert len(rotors) == len(widgets) for r in rotors: for w in widgets: ... del w[0]

  Read the article

• #OOW 2012: Big Data and The Social Revolution

  - by Eric Bezille

  As what was saying Cognizant CSO Malcolm Frank about the "Futur of Work", and how the Business should prepare in the face of the new generation  not only of devices and "internet of things" but also due to their users ("The Millennials"), moving from "consumers" to "prosumers" :  we are at a turning point today which is bringing us to the next IT Architecture Wave. So this is no more just about putting Big Data, Social Networks and Customer Experience (CxM) on top of old existing processes, it is about embracing the next curve, by identifying what processes need to be improve, but also and more importantly what processes are obsolete and need to be get ride of, and new processes put in place. It is about managing both the hierarchical and structured Enterprise and its social connections and influencers inside and outside of the Enterprise. And this does apply everywhere, up to the Utilities and Smart Grids, where it is no more just about delivering (faster) the same old 300 reports that have grown over time with those new technologies but to understand what need to be looked at, in real-time, down to an hand full relevant reports with the KPI relevant to the business. It is about how IT can anticipate the next wave, and is able to answers Business questions, and give those capabilities in real-time right at the hand of the decision makers... This is the turning curve, where IT is really moving from the past decade "Cost Center" to "Value for the Business", as Corporate Stakeholders will be able to touch the value directly at the tip of their fingers. It is all about making Data Driven Strategic decisions, encompassed and enriched by ALL the Data, and connected to customers/prosumers influencers. This brings to stakeholders the ability to make informed decisions on question like : “What would be the best Olympic Gold winner to represent my automotive brand ?”... in a few clicks and in real-time, based on social media analysis (twitter, Facebook, Google+...) and connections link to my Enterprise data. A true example demonstrated by Larry Ellison in real-time during his yesterday’s key notes, where “Hardware and Software Engineered to Work Together” is not only about extreme performances but also solutions that Business can touch thanks to well integrated Customer eXperience Management and Social Networking : bringing the capabilities to IT to move to the IT Architecture Next wave. An example, illustrated also todays in 2 others sessions, that I had the opportunity to attend. The first session bringing the “Internet of Things” in Oil&Gaz into actionable decisions thanks to Complex Event Processing capturing sensors data with the ready to run IT infrastructure leveraging Exalogic for the CEP side, Exadata for the enrich datasets and Exalytics to provide the informed decision interface up to end-user. The second session showing Real Time Decision engine in action for ACCOR hotels, with Eric Wyttynck, VP eCommerce, and his Technical Director Pascal Massenet. I have to close my post here, as I have to go to run our practical hands-on lab, cooked with Olivier Canonge, Christophe Pauliat and Simon Coter, illustrating in practice the Oracle Infrastructure Private Cloud recently announced last Sunday by Larry, and developed through many examples this morning by John Folwer. John also announced today Solaris 11.1 with a range of network innovation and virtualization at the OS level, as well as many optimizations for applications, like for Oracle RAC, with the introduction of the lock manager inside Solaris Kernel. Last but not least, he introduced Xsigo Datacenter Fabric for highly simplified networks and storage virtualization for your Cloud Infrastructure. Hoping you will get ready to jump on the next wave, we are here to help...

  Read the article

• Collision detection via adjacent tiles - sprite too big

  - by BlackMamba

  I have managed to create a collision detection system for my tile-based jump'n'run game (written in C++/SFML), where I check on each update what values the surrounding tiles of the player contain and then I let the player move accordingly (i. e. move left when there is an obstacle on the right side). This works fine when the player sprite is not too big: Given a tile size of 5x5 pixels, my solution worked quite fine with a spritesize of 3x4 and 5x5 pixels. My problem is that I actually need the player to be quite gigantic (34x70 pixels given the same tilesize). When I try this, there seems to be an invisible, notably smaller boundingbox where the player collides with obstacles, the player also seems to shake strongly. Here some images to explain what I mean: Works: http://tinypic.com/r/207lvfr/8 Doesn't work: http://tinypic.com/r/2yuk02q/8 Another example of non-functioning: http://tinypic.com/r/kexbwl/8 (the player isn't falling, he stays there in the corner) My code for getting the surrounding tiles looks like this (I removed some parts to make it better readable): std::vector<std::map<std::string, int> > Game::getSurroundingTiles(sf::Vector2f position) { // converting the pixel coordinates to tilemap coordinates sf::Vector2u pPos(static_cast<int>(position.x/tileSize.x), static_cast<int>(position.y/tileSize.y)); std::vector<std::map<std::string, int> > surroundingTiles; for(int i = 0; i < 9; ++i) { // calculating the relative position of the surrounding tile(s) int c = i % 3; int r = static_cast<int>(i/3); // we subtract 1 to place the player in the middle of the 3x3 grid sf::Vector2u tilePos(pPos.x + (c - 1), pPos.y + (r - 1)); // this tells us what kind of block this tile is int tGid = levelMap[tilePos.y][tilePos.x]; // converts the coords from tile to world coords sf::Vector2u tileRect(tilePos.x*5, tilePos.y*5); // storing all the information std::map<std::string, int> tileDict; tileDict.insert(std::make_pair("gid", tGid)); tileDict.insert(std::make_pair("x", tileRect.x)); tileDict.insert(std::make_pair("y", tileRect.y)); // adding the stored information to our vector surroundingTiles.push_back(tileDict); } // I organise the map so that it is arranged like the following: /* * 4 | 1 | 5 * -- -- -- * 2 | / | 3 * -- -- -- * 6 | 0 | 7 * */ return surroundingTiles; } I then check in a loop through the surrounding tiles, if there is a 1 as gid (indicates obstacle) and then check for intersections with that adjacent tile. The problem I just can't overcome is that I think that I need to store the values of all the adjacent tiles and then check for them. How? And may there be a better solution? Any help is appreciated. P.S.: My implementation derives from this blog entry, I mostly just translated it from Objective-C/Cocos2d.

  Read the article

• can't load big files to server with php [closed]

  - by yozhik

  Hi all! I can't load big files to server. The problem is in that file $_FILES["filename"]["tmp_name"] is empty if file a little more bigger then 2mb. I tried to change variables in php.ini upload_max_filesize = 700M post_max_size = 16M but not working to. Also tried to add this variables to my .httaccess file - but 500 error appears. Error code while uploading=1. UPLOAD_ERR_INI_SIZE Value: 1; The uploaded file exceeds the upload_max_filesize directive in php.ini. Here is my uppload.php page, please anwer what I doing wrong? Thanx! <?php if(strlen($_FILES["filename"]["name"])) { $folder = "uploads/"; echo $folder; $error = ""; if($_FILES["filename"]["size"] > 1024*700*1024) { $error .= "<b><p class=ErrorMessage>?????? ????? ????????? 5Mb</p></b><br>"; header("Location: upload.php?error=".$error, true, 303 ); } if(!file_exists($folder.="hh/")) { if(!mkdir($folder, 0700)) $error .= "<b><p class=ErrorMessage>Folder not created</p></b><br>"; } //echo "<br>".$_FILES["filename"]["tmp_name"]."<br>"; echo $folder.$_FILES["filename"]["name"]."<br>"; echo $_FILES["filename"]["error"]."<br>"; if(move_uploaded_file($_FILES["filename"]["tmp_name"], $folder.$_FILES["filename"]["name"])) { echo("???? ??????? ???????? <br>"); echo("?????????????? ?????: <br>"); echo("??? ?????: "); echo($_FILES["filename"]["name"]); echo("<br>?????? ?????: "); echo($_FILES["filename"]["size"]); echo("<br>??????? ??? ????????: "); echo($folder.=$_FILES["filename"]["name"]); echo("<br>??? ?????: "); echo($_FILES["filename"]["type"]); } else { $error .= "<b><p class=ErrorMessage>?????? ???????? ?????</p></b><br>"; } } ?> <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> <html xmlns="http://www.w3.org/1999/xhtml"> <head> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <title>???????? ??? ????????</title> </head> <body> <?php if(isset($_REQUEST["error"])) { echo $_REQUEST["error"]; } ?> <h2><p><b> ????? ??? ???????? ?????? </b></p></h2> <form action="upload.php" method="post" enctype="multipart/form-data"> <input type="file" name="filename" READONLY><br> <input name="Upload" type="submit" value="Upload"><br> </form> </body> </html>

  Read the article

• Big O complexity of simple for not always linear?

  - by i30817

  I'm sure most of you know that a nested loop has O(n^2) complexity if the function input size is n for(int i = 0; i < n; i++){ for(int j = 0; j < n; j++){ ... } } I think that this is similar, by a analogous argument, but i'm not sure can anyone confirm? for(int i = 0, max = n*n; i < max; i++{ ... } If so i guess that there is some kinds of code whose big O mapping is not immediately obvious besides recursion and subroutines.

  Read the article

• Cloud MBaaS : The Next Big Thing in Enterprise Mobility

  - by shiju

  In this blog post, I will take a look at Cloud Mobile Backend as a Service (MBaaS) and how we can leverage Cloud based Mobile Backend as a Service for building enterprise mobile apps. Today, mobile apps are incredibly significant in both consumer and enterprise space and the demand for the mobile apps is unbelievably increasing in day to day business. An enterprise can’t survive in business without a proper mobility strategy. A better mobility strategy and faster delivery of your mobile apps will give you an extra mileage for your business and IT strategy. So organizations and mobile developers are looking for different strategy for meeting this demand and adopting different development strategy for their mobile apps. Some developers are adopting hybrid mobile app development platforms, for delivering their products for multiple platforms, for fast time-to-market. Others are adopting a Mobile enterprise application platform (MEAP) such as Kony for their enterprise mobile apps for fast time-to-market and better business integration. The Challenges of Enterprise Mobility The real challenge of enterprise mobile apps, is not about creating the front-end environment or developing front-end for multiple platforms. The most important thing of enterprise mobile apps is to expose your enterprise data to mobile devices where the real pain is your business data might be residing in lot of different systems including legacy systems, ERP systems etc., and these systems will be deployed with lot of security restrictions. Exposing your data from the on-premises servers, is not a easy thing for most of the business organizations. Many organizations are spending too much time for their front-end development strategy, but they are really lacking for building a strategy on their back-end for exposing the business data to mobile apps. So building a REST services layer and mobile back-end services, on the top of legacy systems and existing middleware systems, is the key part of most of the enterprise mobile apps, where multiple mobile platforms can easily consume these REST services and other mobile back-end services for building mobile apps. For some mobile apps, we can’t predict its user base, especially for products where customers can gradually increase at any time. And for today’s mobile apps, faster time-to-market is very critical so that spending too much time for mobile app’s scalability, will not be worth. The real power of Cloud is the agility and on-demand scalability, where we can scale-up and scale-down our applications very easily. It would be great if we could use the power of Cloud to mobile apps. So using Cloud for mobile apps is a natural fit, where we can use Cloud as the storage for mobile apps and hosting mechanism for mobile back-end services, where we can enjoy the full power of Cloud with greater level of on-demand scalability and operational agility. So Cloud based Mobile Backend as a Service is great choice for building enterprise mobile apps, where enterprises can enjoy the massive scalability power of their mobile apps, provided by public cloud vendors such as Microsoft Windows Azure. Mobile Backend as a Service (MBaaS) We have discussed the key challenges of enterprise mobile apps and how we can leverage Cloud for hosting mobile backend services. MBaaS is a set of cloud-based, server-side mobile services for multiple mobile platforms and HTML5 platform, which can be used as a backend for your mobile apps with the scalability power of Cloud. The information below provides the key features of a typical MBaaS platform: Cloud based storage for your application data. Automatic REST API services on the application data, for CRUD operations. Native push notification services with massive scalability power. User management services for authenticate users. User authentication via Social accounts such as Facebook, Google, Microsoft, and Twitter. Scheduler services for periodically sending data to mobile devices. Native SDKs for multiple mobile platforms such as Windows Phone and Windows Store, Android, Apple iOS, and HTML5, for easily accessing the mobile services from mobile apps, with better security.  Typically, a MBaaS platform will provide native SDKs for multiple mobile platforms so that we can easily consume the server-side mobile services. MBaaS based REST APIs can use for integrating to enterprise backend systems. We can use the same mobile services for multiple platform so hat we can reuse the application logic to multiple mobile platforms. Public cloud vendors are building the mobile services on the top of their PaaS offerings. Windows Azure Mobile Services is a great platform for a MBaaS offering that is leveraging Windows Azure Cloud platform’s PaaS capabilities. Hybrid mobile development platform Titanium provides their own MBaaS services. LoopBack is a new MBaaS service provided by Node.js consulting firm StrongLoop, which can be hosted on multiple cloud platforms and also for on-premises servers. The Challenges of MBaaS Solutions If you are building your mobile apps with a new data storage, it will be very easy, since there is not any integration challenges you have to face. But most of the use cases, you have to extract your application data in which stored in on-premises servers which might be under VPNs and firewalls. So exposing these data to your MBaaS solution with a proper security would be a big challenge. The capability of your MBaaS vendor is very important as you have to interact with your legacy systems for many enterprise mobile apps. So you should be very careful about choosing for MBaaS vendor. At the same time, you should have a proper strategy for mobilizing your application data which stored in on-premises legacy systems, where your solution architecture and strategy is more important than platforms and tools.  Windows Azure Mobile Services Windows Azure Mobile Services is an MBaaS offerings from Windows Azure cloud platform. IMHO, Microsoft Windows Azure is the best PaaS platform in the Cloud space. Windows Azure Mobile Services extends the PaaS capabilities of Windows Azure, to mobile devices, which can be used as a cloud backend for your mobile apps, which will provide global availability and reach for your mobile apps. Windows Azure Mobile Services provides storage services, user management with social network integration, push notification services and scheduler services and provides native SDKs for all major mobile platforms and HTML5. In Windows Azure Mobile Services, you can write server-side scripts in Node.js where you can enjoy the full power of Node.js including the use of NPM modules for your server-side scripts. In the previous section, we had discussed some challenges of MBaaS solutions. You can leverage Windows Azure Cloud platform for solving many challenges regarding with enterprise mobility. The entire Windows Azure platform can play a key role for working as the backend for your mobile apps where you can leverage the entire Windows Azure platform for your mobile apps. With Windows Azure, you can easily connect to your on-premises systems which is a key thing for mobile backend solutions. Another key point is that Windows Azure provides better integration with services like Active Directory, which makes Windows Azure as the de facto platform for enterprise mobility, for enterprises, who have been leveraging Microsoft ecosystem for their application and IT infrastructure. Windows Azure Mobile Services  is going to next evolution where you can expect some exciting features in near future. One area, where Windows Azure Mobile Services should definitely need an improvement, is about the default storage mechanism in which currently it is depends on SQL Server. IMHO, developers should be able to choose multiple default storage option when creating a new mobile service instance. Let’s say, there should be a different storage providers such as SQL Server storage provider and Table storage provider where developers should be able to choose their choice of storage provider when creating a new mobile services project. I have been used Windows Azure and Windows Azure Mobile Services as the backend for production apps for mobile, where it performed very well. MBaaS Over MEAP Recently, many larger enterprises has been adopted Mobile enterprise application platform (MEAP) for their mobile apps. I haven’t worked on any production MEAP solution, but I heard that developers are really struggling with MEAP in different way. The learning curve for a proprietary MEAP platform is very high. I am completely against for using larger proprietary ecosystem for mobile apps. For enterprise mobile apps, I highly recommend to use native iOS/Android/Windows Phone or HTML5  for front-end with a cloud hosted MBaaS solution as the middleware. A MBaaS service can be consumed from multiple mobile apps where REST APIs are using to integrating with enterprise backend systems. Enterprise mobility should start with exposing REST APIs on the enterprise backend systems and these REST APIs can host on Cloud where we can enjoy the power of Cloud for our services. If you are having REST APIs for your enterprise data, then you can easily build mobile frontends for multiple platforms.   You can follow me on Twitter @shijucv

  Read the article

• My Take on Hadoop World 2011

  - by Jean-Pierre Dijcks

  I’m sure some of you have read pieces about Hadoop World and I did see some headlines which were somewhat, shall we say, interesting? I thought the keynote by Larry Feinsmith of JP Morgan Chase & Co was one of the highlights of the conference for me. The reason was very simple, he addressed some real use cases outside of internet and ad platforms. The following are my notes, since the keynote was recorded I presume you can go and look at Hadoopworld.com at some point… On the use cases that were mentioned: ETL – how can I do complex data transformation at scale Doing Basel III liquidity analysis Private banking – transaction filtering to feed [relational] data marts Common Data Platform – a place to keep data that is (or will be) valuable some day, to someone, somewhere 360 Degree view of customers – become pro-active and look at events across lines of business. For example make sure the mortgage folks know about direct deposits being stopped into an account and ensure the bank is pro-active to service the customer Treasury and Security – Global Payment Hub [I think this is really consolidation of data to cross reference activity across business and geographies] Data Mining Bypass data engineering [I interpret this as running a lot of a large data set rather than on samples] Fraud prevention – work on event triggers, say a number of failed log-ins to the website. When they occur grab web logs, firewall logs and rules and start to figure out who is trying to log in. Is this me, who forget his password, or is it someone in some other country trying to guess passwords Trade quality analysis – do a batch analysis or all trades done and run them through an analysis or comparison pipeline One of the key requests – if you can say it like that – was for vendors and entrepreneurs to make sure that new tools work with existing tools. JPMC has a large footprint of BI Tools and Big Data reporting and tools should work with those tools, rather than be separate. Security and Entitlement – how to protect data within a large cluster from unwanted snooping was another topic that came up. I thought his Elephant ears graph was interesting (couldn’t actually read the points on it, but the concept certainly made some sense) and it was interesting – when asked to show hands – how the audience did not (!) think that RDBMS and Hadoop technology would overlap completely within a few years. Another interesting session was the session from Disney discussing how Disney is building a DaaS (Data as a Service) platform and how Hadoop processing capabilities are mixed with Database technologies. I thought this one of the best sessions I have seen in a long time. It discussed real use case, where problems existed, how they were solved and how Disney planned some of it. The planning focused on three things/phases: Determine the Strategy – Design a platform and evangelize this within the organization Focus on the people – Hire key people, grow and train the staff (and do not overload what you have with new things on top of their day-to-day job), leverage a partner with experience Work on Execution of the strategy – Implement the platform Hadoop next to the other technologies and work toward the DaaS platform This kind of fitted with some of the Linked-In comments, best summarized in “Think Platform – Think Hadoop”. In other words [my interpretation], step back and engineer a platform (like DaaS in the Disney example), then layer the rest of the solutions on top of this platform. One general observation, I got the impression that we have knowledge gaps left and right. On the one hand are people looking for more information and details on the Hadoop tools and languages. On the other I got the impression that the capabilities of today’s relational databases are underestimated. Mostly in terms of data volumes and parallel processing capabilities or things like commodity hardware scale-out models. All in all I liked this conference, it was great to chat with a wide range of people on Oracle big data, on big data, on use cases and all sorts of other stuff. Just hope they get a set of bigger rooms next time… and yes, I hope I’m going to be back next year!

  Read the article

• SQL – Step by Step Guide to Download and Install NuoDB – Getting Started with NuoDB

  - by Pinal Dave

  Let us take a look at the application you own at your business. If you pay attention to the underlying database for that application you will be amazed. Every successful business these days processes way more data than they used to process before. The number of transactions and the amount of data is growing at an exponential rate. Every single day there is way more data to process than before. Big data is no longer a concept; it is now turning into reality. If you look around there are so many different big data solutions and it can be a quite difficult task to figure out where to begin. Personally, I have been experimenting with a lot of different solutions which allow my database to scale immediately without much hassle while maintaining optimal database performance.  There are for sure some solutions out there, but for many I even have to learn their specific language and there is a lot of new exploration to do. Honestly, what I prefer is a product, which works with the language I know (SQL) and follows all the RDBMS concepts which I am familiar with (ACID etc.). NuoDB is one such solution.  It is an operational NewSQL database built on a patented emergent architecture with full support for SQL and ACID guarantees. In this blog post, I will explore how one can download and install NuoDB database. Step 1: Follow me and go to the NuoDB download page. Simply fill out the form, accept the online license agreement, and you will be taken directly to a page where you can select any platform you prefer to install NuoDB. In my example below, I select the Windows 64-bit platform as it is one of the most popular NuoDB platforms. (You can also run NuoDB on Amazon Web Services but I prefer to install it on my local machine for the purposes of this blog). Step 2: Once you have downloaded the NuoDB installer, double click on it to install it on the Windows platform. Here is the enlarged the icon of the installer. Step 3: Follow the wizard installation, as it is pretty straight forward and easy to do so. I have selected all the options to install as the overall installation is very simple and it does not take up much space. I have installed it on my C drive but you can select your preferred drive. It is quite possible that if you do not have 64 bit Java, it will throw following error. If you face following error, I suggest you to download 64-bit Java from here. Make sure that you download 64-bit Java from following link: http://java.com/en/download/manual.jsp If already have Java 64-bit installed, you can continue with the installation as described in following image. Otherwise, install Java and start from with Step 1. As in my case, I already have 64-bit Java installed – and you won’t believe me when I say that the entire installation of NuoDB only took me around 90 seconds. Click on Finish to end to exit the installation. Step 4: Once the installation is successful, NuoDB will automatically open the following two tabs – Console and DevCenter — in your preferred browser. On the Console tab you can explore various components of the NuoDB solution, e.g. QuickStart, Admin, Explorer, Storefront and Samples. We will see various components and their usage in future blog posts. If you follow these steps in this post, which I have followed to install NuoDB, you will agree that the installation of NuoDB is extremely smooth and it was indeed a pleasure to install a database product with such ease. If you have installed other database products in the past, you will absolutely agree with me. So download NuoDB and install it today, and in tomorrow’s blog post I will take the installation to the next level. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: NuoDB

  Read the article

• 9/13 Live Webcast!!! Drive Innovation from Big Data Don't delay - register now!

  - by jgelhaus

  Big data solutions can help you find new insights, capitalize on hidden relationships, and deliver new value to your business. But to derive real business value from big data, you need the right tools and the right strategy. Join the live 9/13 Webcast to get an inside look at the benefits of big data and how you can realize them in your own IT infrastructure. We’ll discuss: The defining characteristics of big data Various big data use cases and examples Requirements for new skills and software Highlights of the Oracle big data platform Register now for the live Webcast on 9/13! It's your chance to talk with the Big Data gurus and discover solutions to data challenges that have eluded your data center—until now.

  Read the article

• the size of apt-get update lists is too big

  - by dumb906

  I ran a clean install to Ubuntu 12.04 and so far everything has been working well. I especially commend the Ubuntu team for this release. I only noticed that the size of repository update is now about ~13MB. Normally, it is about this size for the first time you run apt-get update after a clean install and then ~ 23kb - 1300kb for subsequent updates. The output from apt-get update is the same I get for previous versions of Ubuntu (its pretty normal). Its a bit too long but look at an example output I got from running apt-get update. Ign http://archive.canonical.com precise InRelease Ign http://dl.google.com stable InRelease Ign http://dl.google.com stable InRelease Ign http://ppa.launchpad.net precise InRelease Ign http://ppa.launchpad.net precise InRelease Ign http://ppa.launchpad.net precise InRelease Hit http://download.virtualbox.org precise InRelease Ign http://security.ubuntu.com precise-security InRelease Ign http://linux.dropbox.com precise InRelease Ign http://extras.ubuntu.com precise InRelease Ign http://download.skype.com stable InRelease Hit http://archive.canonical.com precise Release.gpg Get:1 http://dl.google.com stable Release.gpg [198 B] Ign http://ppa.launchpad.net precise InRelease Ign http://ppa.launchpad.net precise InRelease Ign http://ppa.launchpad.net precise InRelease Ign http://ppa.launchpad.net precise InRelease Ign http://ppa.launchpad.net precise InRelease Ign http://ppa.launchpad.net precise InRelease Ign http://ppa.launchpad.net precise InRelease Ign http://ppa.launchpad.net precise InRelease Ign http://ppa.launchpad.net oneiric InRelease Ign http://ppa.launchpad.net precise InRelease Get:2 http://security.ubuntu.com precise-security Release.gpg [198 B] Get:3 http://extras.ubuntu.com precise Release.gpg [72 B] Hit http://download.virtualbox.org precise/contrib i386 Packages Ign http://download.skype.com stable Release.gpg Hit http://linux.dropbox.com precise Release.gpg Ign http://us.archive.ubuntu.com precise InRelease Ign http://us.archive.ubuntu.com precise-updates InRelease Ign http://us.archive.ubuntu.com precise-backports InRelease Hit http://archive.canonical.com precise Release Get:4 http://dl.google.com stable Release.gpg [198 B] Ign http://ppa.launchpad.net oneiric InRelease Ign http://ppa.launchpad.net oneiric InRelease Ign http://ppa.launchpad.net precise InRelease Ign http://ppa.launchpad.net precise InRelease Ign http://ppa.launchpad.net precise InRelease Hit http://ppa.launchpad.net precise Release.gpg Hit http://ppa.launchpad.net precise Release.gpg Get:5 http://security.ubuntu.com precise-security Release [49.6 kB] Hit http://extras.ubuntu.com precise Release Ign http://download.skype.com stable Release Ign http://download.virtualbox.org precise/contrib TranslationIndex Get:6 http://us.archive.ubuntu.com precise Release.gpg [198 B] Hit http://archive.canonical.com precise/partner i386 Packages Hit http://linux.dropbox.com precise Release Get:7 http://ppa.launchpad.net precise Release.gpg [316 B] Hit http://ppa.launchpad.net precise Release.gpg Hit http://ppa.launchpad.net precise Release.gpg Hit http://extras.ubuntu.com precise/main Sources Get:8 http://ppa.launchpad.net precise Release.gpg [316 B] Hit http://ppa.launchpad.net precise Release.gpg Hit http://ppa.launchpad.net precise Release.gpg Hit http://ppa.launchpad.net precise Release.gpg Hit http://ppa.launchpad.net precise Release.gpg Get:9 http://us.archive.ubuntu.com precise-updates Release.gpg [198 B] Ign http://archive.canonical.com precise/partner TranslationIndex Ign http://download.skype.com stable/non-free i386 Packages/DiffIndex Get:10 http://dl.google.com stable Release [1,347 B] Hit http://linux.dropbox.com precise/main i386 Packages Hit http://ppa.launchpad.net precise Release.gpg Hit http://ppa.launchpad.net oneiric Release.gpg Hit http://extras.ubuntu.com precise/main i386 Packages Ign http://extras.ubuntu.com precise/main TranslationIndex Hit http://ppa.launchpad.net precise Release.gpg Hit http://ppa.launchpad.net oneiric Release.gpg Hit http://ppa.launchpad.net oneiric Release.gpg Hit http://ppa.launchpad.net precise Release.gpg Hit http://ppa.launchpad.net precise Release.gpg Get:11 http://us.archive.ubuntu.com precise-backports Release.gpg [198 B] Ign http://download.skype.com stable/non-free TranslationIndex Get:12 http://dl.google.com stable Release [1,347 B] Hit http://ppa.launchpad.net precise Release.gpg Hit http://ppa.launchpad.net precise Release Hit http://ppa.launchpad.net precise Release Ign http://linux.dropbox.com precise/main TranslationIndex Hit http://ppa.launchpad.net precise Release Ign http://ppa.launchpad.net precise Release Hit http://ppa.launchpad.net precise Release Hit http://ppa.launchpad.net precise Release Get:13 http://ppa.launchpad.net precise Release [11.9 kB] Get:14 http://us.archive.ubuntu.com precise Release [49.6 kB] Hit http://download.skype.com stable/non-free i386 Packages Get:15 http://dl.google.com stable/main i386 Packages [1,268 B] Ign http://dl.google.com stable/main TranslationIndex Hit http://ppa.launchpad.net precise Release Hit http://ppa.launchpad.net precise Release Hit http://ppa.launchpad.net precise Release Hit http://ppa.launchpad.net precise Release Hit http://ppa.launchpad.net precise Release Hit http://ppa.launchpad.net oneiric Release Hit http://ppa.launchpad.net precise Release Hit http://ppa.launchpad.net oneiric Release Get:16 http://security.ubuntu.com precise-security/main Sources [7,089 B] Hit http://ppa.launchpad.net oneiric Release Get:17 http://dl.google.com stable/main i386 Packages [769 B] Ign http://dl.google.com stable/main TranslationIndex Hit http://ppa.launchpad.net precise Release Hit http://ppa.launchpad.net precise Release Hit http://ppa.launchpad.net precise Release Hit http://ppa.launchpad.net precise/main Sources Hit http://ppa.launchpad.net precise/main i386 Packages Get:18 http://security.ubuntu.com precise-security/restricted Sources [14 B] Get:19 http://security.ubuntu.com precise-security/universe Sources [3,653 B] Get:20 http://security.ubuntu.com precise-security/multiverse Sources [696 B] Get:21 http://security.ubuntu.com precise-security/main i386 Packages [32.9 kB] Ign http://ppa.launchpad.net precise/main TranslationIndex Hit http://ppa.launchpad.net precise/main Sources Hit http://ppa.launchpad.net precise/main i386 Packages Ign http://ppa.launchpad.net precise/main TranslationIndex Get:22 http://us.archive.ubuntu.com precise-updates Release [49.6 kB] Ign http://ppa.launchpad.net precise/main Sources/DiffIndex Ign http://ppa.launchpad.net precise/main i386 Packages/DiffIndex Ign http://ppa.launchpad.net precise/main TranslationIndex Hit http://ppa.launchpad.net precise/main Sources Hit http://ppa.launchpad.net precise/main i386 Packages Get:23 http://security.ubuntu.com precise-security/restricted i386 Packages [14 B] Get:24 http://security.ubuntu.com precise-security/universe i386 Packages [8,594 B] Get:25 http://security.ubuntu.com precise-security/multiverse i386 Packages [1,393 B] Hit http://security.ubuntu.com precise-security/main TranslationIndex Hit http://security.ubuntu.com precise-security/multiverse TranslationIndex Hit http://security.ubuntu.com precise-security/restricted TranslationIndex Hit http://security.ubuntu.com precise-security/universe TranslationIndex Ign http://ppa.launchpad.net precise/main TranslationIndex Get:26 http://us.archive.ubuntu.com precise-backports Release [49.6 kB] Hit http://ppa.launchpad.net precise/main Sources Hit http://ppa.launchpad.net precise/main i386 Packages Ign http://ppa.launchpad.net precise/main TranslationIndex Get:27 http://ppa.launchpad.net precise/main i386 Packages [1,276 B] Ign http://ppa.launchpad.net precise/main TranslationIndex Hit http://ppa.launchpad.net precise/main Sources Hit http://ppa.launchpad.net precise/main i386 Packages Ign http://ppa.launchpad.net precise/main TranslationIndex Hit http://ppa.launchpad.net precise/main Sources Get:28 http://us.archive.ubuntu.com precise/main Sources [934 kB] Hit http://ppa.launchpad.net precise/main i386 Packages Ign http://ppa.launchpad.net precise/main TranslationIndex Hit http://ppa.launchpad.net precise/main Sources Hit http://ppa.launchpad.net precise/main i386 Packages Ign http://ppa.launchpad.net precise/main TranslationIndex Hit http://ppa.launchpad.net precise/main i386 Packages Hit http://security.ubuntu.com precise-security/main Translation-en Hit http://security.ubuntu.com precise-security/multiverse Translation-en Hit http://security.ubuntu.com precise-security/restricted Translation-en Ign http://ppa.launchpad.net precise/main TranslationIndex Hit http://ppa.launchpad.net precise/main i386 Packages Ign http://ppa.launchpad.net precise/main TranslationIndex Hit http://ppa.launchpad.net oneiric/main Sources Hit http://ppa.launchpad.net oneiric/main i386 Packages Ign http://ppa.launchpad.net oneiric/main TranslationIndex Hit http://ppa.launchpad.net precise/main i386 Packages Ign http://ppa.launchpad.net precise/main TranslationIndex Hit http://ppa.launchpad.net oneiric/main Sources Hit http://security.ubuntu.com precise-security/universe Translation-en Ign http://archive.canonical.com precise/partner Translation-en_US Hit http://ppa.launchpad.net oneiric/main i386 Packages Ign http://ppa.launchpad.net oneiric/main TranslationIndex Hit http://ppa.launchpad.net oneiric/main Sources Hit http://ppa.launchpad.net oneiric/main i386 Packages Ign http://ppa.launchpad.net oneiric/main TranslationIndex Hit http://ppa.launchpad.net precise/main Sources Ign http://extras.ubuntu.com precise/main Translation-en_US Ign http://download.virtualbox.org precise/contrib Translation-en_US Ign http://archive.canonical.com precise/partner Translation-en Hit http://ppa.launchpad.net precise/main i386 Packages Ign http://ppa.launchpad.net precise/main TranslationIndex Hit http://ppa.launchpad.net precise/main Sources Hit http://ppa.launchpad.net precise/main i386 Packages Ign http://ppa.launchpad.net precise/main TranslationIndex Ign http://extras.ubuntu.com precise/main Translation-en Ign http://download.virtualbox.org precise/contrib Translation-en Hit http://ppa.launchpad.net precise/main Sources Hit http://ppa.launchpad.net precise/main i386 Packages Ign http://ppa.launchpad.net precise/main TranslationIndex Hit http://ppa.launchpad.net precise/main Sources Ign http://linux.dropbox.com precise/main Translation-en_US Hit http://ppa.launchpad.net precise/main i386 Packages Ign http://download.skype.com stable/non-free Translation-en_US Ign http://linux.dropbox.com precise/main Translation-en Ign http://download.skype.com stable/non-free Translation-en Ign http://dl.google.com stable/main Translation-en_US Ign http://dl.google.com stable/main Translation-en Ign http://dl.google.com stable/main Translation-en_US Get:29 http://us.archive.ubuntu.com precise/restricted Sources [5,470 B] Get:30 http://us.archive.ubuntu.com precise/universe Sources [5,019 kB] Ign http://dl.google.com stable/main Translation-en Get:31 http://us.archive.ubuntu.com precise/multiverse Sources [155 kB] Get:32 http://us.archive.ubuntu.com precise/main i386 Packages [1,274 kB] Get:33 http://us.archive.ubuntu.com precise/restricted i386 Packages [8,431 B] Get:34 http://us.archive.ubuntu.com precise/universe i386 Packages [4,796 kB] Ign http://ppa.launchpad.net precise/main Translation-en_US Ign http://ppa.launchpad.net precise/main Translation-en Ign http://ppa.launchpad.net precise/main Translation-en_US Ign http://ppa.launchpad.net precise/main Translation-en Ign http://ppa.launchpad.net precise/main Translation-en_US Ign http://ppa.launchpad.net precise/main Translation-en Ign http://ppa.launchpad.net precise/main Translation-en_US Ign http://ppa.launchpad.net precise/main Translation-en Ign http://ppa.launchpad.net precise/main Translation-en_US Ign http://ppa.launchpad.net precise/main Translation-en Ign http://ppa.launchpad.net precise/main Translation-en_US Ign http://ppa.launchpad.net precise/main Translation-en Ign http://ppa.launchpad.net precise/main Translation-en_US Ign http://ppa.launchpad.net precise/main Translation-en Ign http://ppa.launchpad.net precise/main Translation-en_US Ign http://ppa.launchpad.net precise/main Translation-en Ign http://ppa.launchpad.net precise/main Translation-en_US Ign http://ppa.launchpad.net precise/main Translation-en Ign http://ppa.launchpad.net precise/main Translation-en_US Ign http://ppa.launchpad.net precise/main Translation-en Ign http://ppa.launchpad.net precise/main Translation-en_US Ign http://ppa.launchpad.net precise/main Translation-en Ign http://ppa.launchpad.net oneiric/main Translation-en_US Ign http://ppa.launchpad.net oneiric/main Translation-en Ign http://ppa.launchpad.net precise/main Translation-en_US Ign http://ppa.launchpad.net precise/main Translation-en Ign http://ppa.launchpad.net oneiric/main Translation-en_US Ign http://ppa.launchpad.net oneiric/main Translation-en Ign http://ppa.launchpad.net oneiric/main Translation-en_US Ign http://ppa.launchpad.net oneiric/main Translation-en Ign http://ppa.launchpad.net precise/main Translation-en_US Ign http://ppa.launchpad.net precise/main Translation-en Ign http://ppa.launchpad.net precise/main Translation-en_US Ign http://ppa.launchpad.net precise/main Translation-en Ign http://ppa.launchpad.net precise/main Translation-en_US Ign http://ppa.launchpad.net precise/main Translation-en Get:35 http://us.archive.ubuntu.com precise/multiverse i386 Packages [121 kB] Hit http://us.archive.ubuntu.com precise/main TranslationIndex Hit http://us.archive.ubuntu.com precise/multiverse TranslationIndex Hit http://us.archive.ubuntu.com precise/restricted TranslationIndex Hit http://us.archive.ubuntu.com precise/universe TranslationIndex Get:36 http://us.archive.ubuntu.com precise-updates/main Sources [31.2 kB] Get:37 http://us.archive.ubuntu.com precise-updates/restricted Sources [765 B] Get:38 http://us.archive.ubuntu.com precise-updates/universe Sources [10.1 kB] Get:39 http://us.archive.ubuntu.com precise-updates/multiverse Sources [696 B] Get:40 http://us.archive.ubuntu.com precise-updates/main i386 Packages [96.5 kB] Get:41 http://us.archive.ubuntu.com precise-updates/restricted i386 Packages [770 B] Get:42 http://us.archive.ubuntu.com precise-updates/universe i386 Packages [27.7 kB] Get:43 http://us.archive.ubuntu.com precise-updates/multiverse i386 Packages [1,393 B] Hit http://us.archive.ubuntu.com precise-updates/main TranslationIndex Hit http://us.archive.ubuntu.com precise-updates/multiverse TranslationIndex Hit http://us.archive.ubuntu.com precise-updates/restricted TranslationIndex Hit http://us.archive.ubuntu.com precise-updates/universe TranslationIndex Get:44 http://us.archive.ubuntu.com precise-backports/main Sources [700 B] Get:45 http://us.archive.ubuntu.com precise-backports/restricted Sources [14 B] Get:46 http://us.archive.ubuntu.com precise-backports/universe Sources [1,680 B] Get:47 http://us.archive.ubuntu.com precise-backports/multiverse Sources [14 B] Get:48 http://us.archive.ubuntu.com precise-backports/main i386 Packages [559 B] Get:49 http://us.archive.ubuntu.com precise-backports/restricted i386 Packages [14 B] Get:50 http://us.archive.ubuntu.com precise-backports/universe i386 Packages [1,391 B] Get:51 http://us.archive.ubuntu.com precise-backports/multiverse i386 Packages [14 B] Hit http://us.archive.ubuntu.com precise-backports/main TranslationIndex Hit http://us.archive.ubuntu.com precise-backports/multiverse TranslationIndex Hit http://us.archive.ubuntu.com precise-backports/restricted TranslationIndex Hit http://us.archive.ubuntu.com precise-backports/universe TranslationIndex Hit http://us.archive.ubuntu.com precise/main Translation-en Hit http://us.archive.ubuntu.com precise/multiverse Translation-en Hit http://us.archive.ubuntu.com precise/restricted Translation-en Hit http://us.archive.ubuntu.com precise/universe Translation-en Hit http://us.archive.ubuntu.com precise-updates/main Translation-en Hit http://us.archive.ubuntu.com precise-updates/multiverse Translation-en Hit http://us.archive.ubuntu.com precise-updates/restricted Translation-en Hit http://us.archive.ubuntu.com precise-updates/universe Translation-en Hit http://us.archive.ubuntu.com precise-backports/main Translation-en Hit http://us.archive.ubuntu.com precise-backports/multiverse Translation-en Hit http://us.archive.ubuntu.com precise-backports/restricted Translation-en Hit http://us.archive.ubuntu.com precise-backports/universe Translation-en Fetched 12.8 MB in 1min 33s (137 kB/s) Is this a new feature in 12.04? Or, if it is unintended, is there a way I can fix this? Thanks.

  Read the article

• MS Expression Web 4 SuperPreview – Big Disappointment

  - by smehaffie

  I just downloaded Expression 4 and expected to see some improvements in the Web4 SuperPreview application.  The one main function I was expecting to be in this release is the ability to enter data and click on links so pages of the sites could be assessed.  There a many use cases where this functionality is needed and there were quite a few people vocal about it when MS first released the application. 1) Where you have to login to a site to access either all the content or some of the content on the site 2) Where you have to enter date in a certain order and cannot go to next page until the previous pages data is filled out (payment process, storefront, etc). 3) Where you just want to make sure things are displayed correctly based on data entered (validation messages, etc). 4 ) You need to make sure the links go to the page in all the different browsers.  I have seen scenerios where links worked fine in all but one browser, or for some reason the text showed on screen but it was not a clickable link. IMO this application is a great idea, but until MS fixed the above issue and add the functionality above the SuperPreview is totally worthless unless you need it to test a totally static site that does not require any user input at all to get access to the content.  There is no reason this feature should not have been in this release, and it should have been a priority to make sure it was. Let me know how you feel about the new version of the Web4 SuperPreview application.  Did MS really miss the target on this by not adding this functionality, or do I think it is a bigger deal that it really is?  If you are actively using SuperPreview, please post how you are using it and the type of sites you are using it on.

  Read the article

• I want to hit Apex SQL with a big stick

  - by Michael Stephenson

  <Whinge> Thought id just have a little whinge about this product which caused me a load of grief the other day..... So the background was that my development machine had a completely full hard disk which I needed to sort out.  Upon investigation I found the issue was that the msdb database had managed to get very large. This was caused because a long time ago (and I cant even remember why) I tried out Apex SQL.  After a few days I decided to uninstall it and thought nothing more of it.  What I didnt realise was that uninstalling it doesnt actually uninstall it (and it doesnt inform you about this), but there was still some assemblies left on my machine.  Everytime SQL Server was running it was starting the Apex SQL Connection monitor which was then running in the background and regularly recording information in the msdb database.  Over time it had recorded enough to fill the disk. The below article advises how to sort this out by removing this fully so if your having a problem then try this out:http://knowledgebase.apexsql.com/2007/08/how-to-uninstall-apexsqlconnectionmonit_09.htm Once this was sorted out its interesting to read the above article because I just dont think the approach used by the vendor of this software is a very good one.  So for the Apex team just wanted to pass on a thought: If I want to uninstall your product you should tell me if stuff is left on the machine especially if a process will be running which is going to fill my machine with useless data, </Whinge>

  Read the article

• Sending Big Files with WCF

  - by Sean Feldman

  I had to look into a project that submits large files to WCF service. Implementation is based on data chunking. This is a good approach when your client and server are not both based on WCF, bud different technologies. The problem with something like this is that chunking (either you wish it or not) complicates the overall solution. Alternative would be streaming. In WCF to WCF scenario, this is a piece of cake. When client is Java, it becomes a bit more challenging (has anyone implemented Java client streaming data to WCF service?). What I really liked about .NET implementation with WCF, is that sending header info along with stream was dead simple, and from the developer point of view looked like it’s all a part of the DTO passed into the service. [ServiceContract] public interface IFileUpload { [OperationContract] void UploadFile(SendFileMessage message); } Where SendFileMessage is [MessageContract] public class SendFileMessage { [MessageBodyMember(Order = 1)] public Stream FileData; [MessageHeader(MustUnderstand = true)] public FileTransferInfo FileTransferInfo; }

  Read the article

• How big can my SharePoint 2010 installation be?

  Ad:: SharePoint 2007 Training in .NET 3.5 technologies (more information). This feed URL has been discontinued. Please update your reader's URL to : http://feeds.feedburner.com/winsmarts Read full article .... ...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

  Read the article

• Small Business SEO - How to Strategize Around the Big Guys

  Being able to have your small business show up in the search engines is essential for driving commerce to your website. With everybody optimizing their websites and online stores for SEO, how is a small business supposed to compete? The answer isn't as hard as one may think.

  Read the article

• Is Oracle WebCenter 11g a big SharePoint ?

  - by Guilherme J Santos

  Hi there. I have some experience with SharePoint. Now my company will use Oracle WebCenter to create a internal portal. Nobody of IT team have experience with Oracle WebCenter, and I think we could use SharePoint, as we did until now. So, what are the advantages to use Oracle WebCenter? Wich are your experiences with Oracle WebCenter 11g? And how much it is different from SharePoint. What can I do with Oracle WebCenter that I cannot do with Microsoft SharePoint?

  Read the article

• HP Mini 311 Netbook: Big Screen Netbook

  The HP Mini 311 Netbook's 11.6-inch screen is one of the biggest screens in the netbook market. Where does the "bigger screen" competition end?

  Read the article

• How Big Is a Billion? [Video]

  - by Jason Fitzpatrick

  A billion is a billion except, when it isn’t. Depending on where and when you were raised and educated, the world “billion” is some magnitudes different–read on to see the difference between a billion in long and short number systems. [via Geeks Are Sexy] Here’s How to Download Windows 8 Release Preview Right Now HTG Explains: Why Linux Doesn’t Need Defragmenting How to Convert News Feeds to Ebooks with Calibre

  Read the article

< Previous Page | 5 6 7 8 9 10 11 12 13 14 15 16  | Next Page >