Search Results

Search found 66013 results on 2641 pages for 'big data analytics'.

Page 45/2641 | < Previous Page | 41 42 43 44 45 46 47 48 49 50 51 52  | Next Page >

  • How can I scrape specific data from a website

    - by Stoney
    I'm trying to scrape data from a website for research. The urls are nicely organized in an example.com/x format, with x as an ascending number and all of the pages are structured in the same way. I just need to grab certain headings and a few numbers which are always in the same locations. I'll then need to get this data into structured form for analysis in Excel. I have used wget before to download pages, but I can't figure out how to grab specific lines of text. Excel has a feature to grab data from the web (Data-From Web) but from what I can see it only allows me to download tables. Unfortunately, the data I need is not in tables.

    Read the article

  • How should I architect my Model and Data Access layer objects in my website?

    - by Robin Winslow
    I've been tasked with designing Data layer for a website at work, and I am very interested in architecture of code for the best flexibility, maintainability and readability. I am generally acutely aware of the value in completely separating out my actual Models from the Data Access layer, so that the Models are completely naive when it comes to Data Access. And in this case it's particularly useful to do this as the Models may be built from the Database or may be built from a Soap web service. So it seems to me to make sense to have Factories in my data access layer which create Model objects. So here's what I have so far (in my made-up pseudocode): class DataAccess.ProductsFromXml extends DataAccess.ProductFactory {} class DataAccess.ProductsFromDatabase extends DataAccess.ProductFactory {} These then get used in the controller in a fashion similar to the following: var xmlProductCreator = DataAccess.ProductsFromXml(xmlDataProvider); var databaseProductCreator = DataAccess.ProductsFromXml(xmlDataProvider); // Returns array of Product model objects var XmlProducts = databaseProductCreator.Products(); // Returns array of Product model objects var DbProducts = xmlProductCreator.Products(); So my question is, is this a good structure for my Data Access layer? Is it a good idea to use a Factory for building my Model objects from the data? Do you think I've misunderstood something? And are there any general patterns I should read up on for how to write my data access objects to create my Model objects?

    Read the article

  • The Virtues and Challenges of Implementing Basel III: What Every CFO and CRO Needs To Know

    - by Jenna Danko
    The Basel Committee on Banking Supervision (BCBS) is a group tasked with providing thought-leadership to the global banking industry.  Over the years, the BCBS has released volumes of guidance in an effort to promote stability within the financial sector.  By effectively communicating best-practices, the Basel Committee has influenced financial regulations worldwide.  Basel regulations are intended to help banks: More easily absorb shocks due to various forms of financial-economic stress Improve risk management and governance Enhance regulatory reporting and transparency In June 2011, the BCBS released Basel III: A global regulatory framework for more resilient banks and banking systems.  This new set of regulations included many enhancements to previous rules and will have both short and long term impacts on the banking industry.  Some of the key features of Basel III include: A stronger capital base More stringent capital standards and higher capital requirements Introduction of capital buffers  Additional risk coverage Enhanced quantification of counterparty credit risk Credit valuation adjustments  Wrong  way risk  Asset Value Correlation Multiplier for large financial institutions Liquidity management and monitoring Introduction of leverage ratio Even more rigorous data requirements To implement these features banks need to embark on a journey replete with challenges. These can be categorized into three key areas: Data, Models and Compliance. Data Challenges Data quality - All standard dimensions of Data Quality (DQ) have to be demonstrated.  Manual approaches are now considered too cumbersome and automation has become the norm. Data lineage - Data lineage has to be documented and demonstrated.  The PPT / Excel approach to documentation is being replaced by metadata tools.  Data lineage has become dynamic due to a variety of factors, making static documentation out-dated quickly.  Data dictionaries - A strong and clean business glossary is needed with proper identification of business owners for the dataData integrity - A strong, scalable architecture with work flow tools helps demonstrate data integrity.  Manual touch points have to be minimized.   Data relevance/coverage - Data must be relevant to all portfolios and storage devices must allow for sufficient data retention.  Coverage of both on and off balance sheet exposures is critical.   Model Challenges Model development - Requires highly trained resources with both quantitative and subject matter expertise. Model validation - All Basel models need to be validated. This requires additional resources with skills that may not be readily available in the marketplace.  Model documentation - All models need to be adequately documented.  Creation of document templates and model development processes/procedures is key. Risk and finance integration - This integration is necessary for Basel as the Allowance for Loan and Lease Losses (ALLL) is calculated by Finance, yet Expected Loss (EL) is calculated by Risk Management – and they need to somehow be equal.  This is tricky at best from an implementation perspective.  Compliance Challenges Rules interpretation - Some Basel III requirements leave room for interpretation.  A misinterpretation of regulations can lead to delays in Basel compliance and undesired reprimands from supervisory authorities. Gap identification and remediation - Internal identification and remediation of gaps ensures smoother Basel compliance and audit processes.  However business lines are challenged by the competing priorities which arise from regulatory compliance and business as usual work.  Qualification readiness - Providing internal and external auditors with robust evidence of a thorough examination of the readiness to proceed to parallel run and Basel qualification  In light of new regulations like Basel III and local variations such as the Dodd Frank Act (DFA) and Comprehensive Capital Analysis and Review (CCAR) in the US, banks are now forced to ask themselves many difficult questions.  For example, executives must consider: How will Basel III play into their Risk Appetite? How will they create project plans for Basel III when they haven’t yet finished implementing Basel II? How will new regulations impact capital structure including profitability and capital distributions to shareholders? After all, new regulations often lead to diminished profitability as well as an assortment of implementation problems as we discussed earlier in this note.  However, by requiring banks to focus on premium growth, regulators increase the potential for long-term profitability and sustainability.  And a more stable banking system: Increases consumer confidence which in turn supports banking activity  Ensures that adequate funding is available for individuals and companies Puts regulators at ease, allowing bankers to focus on banking Stability is intended to bring long-term profitability to banks.  Therefore, it is important that every banking institution takes the steps necessary to properly manage, monitor and disclose its risks.  This can be done with the assistance and oversight of an independent regulatory authority.  A spectrum of banks exist today wherein some continue to debate and negotiate with regulators over the implementation of new requirements, while others are simply choosing to embrace them for the benefits I highlighted above. Do share with me how your institution is coping with and embracing these new regulations within your bank. Dr. Varun Agarwal is a Principal in the Banking Practice for Capgemini Financial Services.  He has over 19 years experience in areas that span from enterprise risk management, credit, market, and to country risk management; financial modeling and valuation; and international financial markets research and analyses.

    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

  • Calculating percentiles in Excel with "buckets" data instead of the data list itself

    - by G B
    I have a bunch of data in Excel that I need to get certain percentile information from. The problem is that instead of having the data set made up of each value, I instead have info on the number of or "bucket" data. For example, imagine that my actual data set looks like this: 1,1,2,2,2,2,3,3,4,4,4 The data set that I have is this: Value No. of occurrences 1 2 2 4 3 2 4 3 Is there an easy way for me to calculate percentile information (as well as the median) without having to explode the summary data out to full data set? (Once I did that, I know that I could just use the Percentile(A1:A5, p) function) This is important because my data set is very large. If I exploded the data out, I would have hundreds of thousands of rows and I would have to do it for a couple of hundred data sets. Help!

    Read the article

  • How do I setup a WCF Data Service with an ADO.NET Entity Entity Model in another assembly?

    - by lsb
    Hi! I have an ASP.NET 4.0 website that has an Entity Data Model hooked up to WCF Data Service. When the Service and Model are in the same assembly everything works. Unfortunately, when I move the Model to another "shared" assembly (and change the namespace) the service compiles but throws a 500 error when launched in a browser. The reason I want to have the Model in a common assembly (lets call it RiaTest.Shared) is that I want share common validation code between the client and service (by checking "Reuse types in referenced assemblies" in the Advanced tab of the Add Service Reference dialog). Anyway, I've spent a couple of hours on this to no avail so any help in the regard would be appreciated...

    Read the article

  • Open Data, Government and Transparency

    - by Tori Wieldt
    A new track at TDC (The Developer's Conference in Sao Paulo, Brazil) is titled Open Data. It deals with open data, government and transparency. Saturday will be a "transparency hacker day" where developers are invited to create applications using open data from the Brazilian government.  Alexandre Gomes, co-lead of the track, says "I want to inspire developers to become "Civic hackers:" developers who create apps to make society better." It is a chance for developers to do well and do good. There are many opportunities for developers, including monitoring government expenditures and getting citizens involved via social networks. The open data movement is growing worldwide. One initiative, the Open Government Partnership, is working to make government data easier to find and access. Making this data easily available means that with the right applications, it will be easier for people to make decisions and suggestions about government policies based on detailed information. Last April, the Open Government Partnership held its annual meeting in Brasilia, the capitol of Brazil. It was a great success showcasing the innovative work being done in open data by governments, civil societies and individuals around the world. For example, Bulgaria now publishes daily data on budget spending for all public institutions. Alexandre Gomes Explains Open Data At TDC, the Open Data track will include a presentation of examples of successful open data projects, an introduction to the semantic web, how to handle big data sets, techniques of data visualization, and how to design APIs.The other track lead is Christian Moryah Miranda, a systems analyst for the Brazilian Government's Ministry of Planning. "The Brazilian government wholeheartedly supports this effort. In order to make our data available to the public, it forces us to be more consistent with our data across ministries, and that's a good step forward for us," he said. He explained the government knows they cannot achieve everything they would like without help from the public. "It is not the government versus the people, rather citizens are partners with the government, and together we can achieve great things!" Miranda exclaimed. Saturday at TDC will be a "transparency hacker day" where developers will be invited to create applications using open data from the Brazilian government. Attendees are invited to pitch their ideas, work in small groups, and present their project at the end of the conference. "For example," Gomes said, "the Brazilian government just released the salaries of all government employees and I can't wait to see what developers can do with that." Resources Open Government Partnership  U.S. Government Open Data ProjectBrazilian Government Open Data ProjectU.K. Government Open Data Project 2012 International Open Government Data Conference 

    Read the article

  • Master Data Management and Cloud Computing

    - by david.butler(at)oracle.com
    Cloud Computing is all the rage these days. There are many reasons why this is so. But like its predecessor, Service Oriented Architecture, it can fall on hard times if the underlying data is left unmanaged. Master Data Management is the perfect Cloud companion. It can materially increase the chances for successful Cloud initiatives. In this blog, I'll review the nature of the Cloud and show how MDM fits in.   Here's the National Institute of Standards and Technology Cloud definition: •          Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction.   Cloud architectures have three main layers: applications or Software as a Service (SaaS), Platforms as a Service (PaaS), and Infrastructure as a Service (IaaS). SaaS generally refers to applications that are delivered to end-users over the Internet. Oracle CRM On Demand is an example of a SaaS application. Today there are hundreds of SaaS providers covering a wide variety of applications including Salesforce.com, Workday, and Netsuite. Oracle MDM applications are located in this layer of Oracle's On Demand enterprise Cloud platform. We call it Master Data as a Service (MDaaS). PaaS generally refers to an application deployment platform delivered as a service. They are often built on a grid computing architecture and include database and middleware. Oracle Fusion Middleware is in this category and includes the SOA and Data Integration products used to connect SaaS applications including MDM. Finally, IaaS generally refers to computing hardware (servers, storage and network) delivered as a service.  This typically includes the associated software as well: operating systems, virtualization, clustering, etc.    Cloud Computing benefits are compelling for a large number of organizations. These include significant cost savings, increased flexibility, and fast deployments. Cost advantages include paying for just what you use. This is especially critical for organizations with variable or seasonal usage. Companies don't have to invest to support peak computing periods. Costs are also more predictable and controllable. Increased agility includes access to the latest technology and experts without making significant up front investments.   While Cloud Computing is certainly very alluring with a clear value proposition, it is not without its challenges. An IDC survey of 244 IT executives/CIOs and their line-of-business (LOB) colleagues identified a number of issues:   Security - 74% identified security as an issue involving data privacy and resource access control. Integration - 61% found that it is hard to integrate Cloud Apps with in-house applications. Operational Costs - 50% are worried that On Demand will actually cost more given the impact of poor data quality on the rest of the enterprise. Compliance - 49% felt that compliance with required regulatory, legal and general industry requirements (such as PCI, HIPAA and Sarbanes-Oxley) would be a major issue. When control is lost, the ability of a provider to directly manage how and where data is deployed, used and destroyed is negatively impacted.  There are others, but I singled out these four top issues because Master Data Management, properly incorporated into a Cloud Computing infrastructure, can significantly ameliorate all of these problems. Cloud Computing can literally rain raw data across the enterprise.   According to fellow blogger, Mike Ferguson, "the fracturing of data caused by the adoption of cloud computing raises the importance of MDM in keeping disparate data synchronized."   David Linthicum, CTO Blue Mountain Labs blogs that "the lack of MDM will become more of an issue as cloud computing rises. We're moving from complex federated on-premise systems, to complex federated on-premise and cloud-delivered systems."    Left unmanaged, non-standard, inconsistent, ungoverned data with questionable quality can pollute analytical systems, increase operational costs, and reduce the ROI in Cloud and On-Premise applications. As cloud computing becomes more relevant, and more data, applications, services, and processes are moved out to cloud computing platforms, the need for MDM becomes ever more important. Oracle's MDM suite is designed to deal with all four of the above Cloud issues listed in the IDC survey.   Security - MDM manages all master data attribute privacy and resource access control issues. Integration - MDM pre-integrates Cloud Apps with each other and with On Premise applications at the data level. Operational Costs - MDM significantly reduces operational costs by increasing data quality, thereby improving enterprise business processes efficiency. Compliance - MDM, with its built in Data Governance capabilities, insures that the data is governed according to organizational standards. This facilitates rapid and accurate reporting for compliance purposes. Oracle MDM creates governed high quality master data. A unified cleansed and standardized data view is produced. The Oracle Customer Hub creates a single view of the customer. The Oracle Product Hub creates high quality product data designed to support all go-to-market processes. Oracle Supplier Hub dramatically reduces the chances of 'supplier exceptions'. Oracle Site Hub masters locations. And Oracle Hyperion Data Relationship Management masters financial reference data and manages enterprise hierarchies across operational areas from ERP to EPM and CRM to SCM. Oracle Fusion Middleware connects Cloud and On Premise applications to MDM Hubs and brings high quality master data to your enterprise business processes.   An independent analyst once said "Poor data quality is like dirt on the windshield. You may be able to drive for a long time with slowly degrading vision, but at some point, you either have to stop and clear the windshield or risk everything."  Cloud Computing has the potential to significantly degrade data quality across the enterprise over time. Deploying a Master Data Management solution prior to or in conjunction with a move to the Cloud can insure that the data flowing into the enterprise from the Cloud is clean and governed. This will in turn insure that expected returns on the investment in Cloud Computing will be realized.       Oracle MDM has proven its metal in this area and has the customers to back that up. In fact, I will be hosting a webcast on Tuesday, April 10th at 10 am PT with one of our top Cloud customers, the Church Pension Group. They have moved all mainline applications to a hosted model and use Oracle MDM to insure the master data is managed and cleansed before it is propagated to other cloud and internal systems. I invite you join Martin Hossfeld, VP, IT Operations, and Danette Patterson, Enterprise Data Manager as they review business drivers for MDM and hosted applications, how they did it, the benefits achieved, and lessons learned. You can register for this free webcast here.  Hope to see you there.

    Read the article

  • Go Big or Go Special

    - by Ajarn Mark Caldwell
    Watching Shark Tank tonight and the first presentation was by Mango Mango Preserves and it highlighted an interesting contrast in business trends today and how to capitalize on opportunities.  <Spoiler Alert> Even though every one of the sharks was raving about the product samples they tried, with two of them going for second and third servings, none of them made a deal to invest in the company.</Spoiler>  In fact, one of the sharks, Kevin O’Leary, kept ripping into the owners with statements to the effect that he thinks they are headed over a financial cliff because he felt their costs were way out of line and would be their downfall if they didn’t take action to radically cut costs. He said that he had previously owned a jams and jellies business and knew the cost ratios that you had to have to make it work.  I don’t doubt he knows exactly what he’s talking about and is 100% accurate…for doing business his way, which I’ll call “Go Big”.  But there’s a whole other way to do business today that would be ideal for these ladies to pursue. As I understand it, based on his level of success in various businesses and the fact that he is even in a position to be investing in other companies, Kevin’s approach is to go mass market (Go Big) and make hundreds of millions of dollars in sales (or something along that scale) while squeezing out every ounce of cost that you can to produce an acceptable margin.  But there is a very different way of making a very successful business these days, which is all about building a passionate and loyal community of customers that are rooting for your success and even actively trying to help you succeed by promoting your product or company (Go Special).  This capitalizes on the power of social media, niche marketing, and The Long Tail.  One of the most prolific writers about capitalizing on this trend is Seth Godin, and I hope that the founders of Mango Mango pick up a couple of his books (probably Purple Cow and Tribes would be good starts) or at least read his blog.  I think the adoration expressed by all of the sharks for the product is the biggest hint that they have a remarkable product and that they are perfect for this type of business approach. Both are completely valid business models, and it may certainly be that the scale at which Kevin O’Leary wants to conduct business where he invests his money is well beyond the long tail, but that doesn’t mean that there is not still a lot of money to be made there.  I wish them the best of luck with their endeavors!

    Read the article

  • Can anyone explain to me what problem Core Data solves?

    - by Curtis Sumpter
    Core Data seems to add a needless layer of complexity. If you want to save data created natively by the user in an app why not just use an object and then write the data all to SQLite or back to a server using a RESTful script if necessary. Android doesn't have Core Data (though if it has something similar I haven't seen it.). What the heck is the point of buggy CD except useless needless overhead for people who can't write SQL or CGI scripts?

    Read the article

  • Pack of resources in one big file with XNA

    - by Cristian
    Is it possible to pack all the little .xnb files into one big file? Given the level of abstraction of the XNA Framework I though this would come out of the box but I can't find any well integrated solution. So far the best candidate is XnaZip but in addition to having to compile the resources in a post-build event, and a little trouble porting the game to XBOX I have to rename all the references to resources I have already implemented.

    Read the article

  • Difference between "Data Binding'","Data Hiding","Data Wraping" and "Encapsulation"?

    - by krishna Chandra
    I have been studying the conpects of Object oriented programming. Still I am not able to distinguish between the following concepts of object oriented programming.. a) Data Binding b) Data Hiding c) Data Wrapping d) encapsulation e) Data Abstraction I have gone through a lot of books ,and I also search the difference in google. but still I am not able to make the difference between these? Could anyone please help me ?

    Read the article

  • It's the Freedom You Big Dummy

    <b>Daniweb:</b> "No one has given his life for Linux but certainly there have been sacrifices. But, like their armed soldier counterparts, it isn't about the sacrifice, it's the freedom you big dummy."

    Read the article

  • Presenting Loading Data Warehouse Partitions with SSIS 2012 at SQL Saturday DC!

    - by andyleonard
    Join Darryll Petrancuri and me as we present Loading Data Warehouse Partitions with SSIS 2012 Saturday 8 Dec 2012 at SQL Saturday 173 in DC ! SQL Server 2012 table partitions offer powerful Big Data solutions to the Data Warehouse ETL Developer. In this presentation, Darryll Petrancuri and Andy Leonard demonstrate one approach to loading partitioned tables and managing the partitions using SSIS 2012, and reporting partition metrics using SSRS 2012. Objectives A practical solution for loading Big...(read more)

    Read the article

  • Recover harddrive data

    - by gameshints
    I have a dell laptop that recently "died" (It would get the blue screen of death upon starting) and the hard drive would make a weird cyclic clicking noises. I wanted to see if I could use some tools on my linux machine to recover the data, so I plugged it into there. If I run "fdisk" I get: Disk /dev/sdb: 20.0 GB, 20003880960 bytes 64 heads, 32 sectors/track, 19077 cylinders Units = cylinders of 2048 * 512 = 1048576 bytes Disk identifier: 0x64651a0a Disk /dev/sdb doesn't contain a valid partition table Fine, the partition table is messed up. However if I run "testdisk" in attempt to fix the table, it freezes at this point, making the same cyclical clicking noises: Disk /dev/sdb - 20 GB / 18 GiB - CHS 19078 64 32 Analyse cylinder 158/19077: 00% I don't really care about the hard drive working again, and just the data, so I ran "gpart" to figure out where the partitions used to be. I got this: dev(/dev/sdb) mss(512) chs(19077/64/32)(LBA) #s(39069696) size(19077mb) * Warning: strange partition table magic 0x2A55. Primary partition(1) type: 222(0xDE)(UNKNOWN) size: 15mb #s(31429) s(63-31491) chs: (0/1/1)-(3/126/63)d (0/1/32)-(15/24/4)r hex: 00 01 01 00 DE 7E 3F 03 3F 00 00 00 C5 7A 00 00 Primary partition(2) type: 007(0x07)(OS/2 HPFS, NTFS, QNX or Advanced UNIX) (BOOT) size: 19021mb #s(38956987) s(31492-38988478) chs: (4/0/1)-(895/126/63)d (15/24/5)-(19037/21/31)r hex: 80 00 01 04 07 7E FF 7F 04 7B 00 00 BB 6F 52 02 So I tried to mount just to the old NTFS partition, but got an error: sudo mount -o loop,ro,offset=16123904 -t ntfs /dev/sdb /mnt/usb NTFS signature is missing. Ugh. Okay. But then I tried to get a raw data dump by running dd if=/dev/sdb of=/home/erik/brokenhd skip=31492 count=38956987 But the file got up to 59885568 bytes, and made the same cyclical clicking noises. Obviously there is a bad sector, but I don't know what to do about it! The data is still there... if I view that 57MB file in textpad... I can see raw data from files. How can I get my data back? Thanks for any suggestions, Solution: I was able to recover about 90% of my data: Froze harddrive in freezer Used Ddrescue to make a copy of the drive Since Ddrescue wasn't able to get enough of my drive to use testdisk to recover my partitions/file system, I ended up using photorec to recover most of my files

    Read the article

  • Venez nous voir au Forum Oracle Big Data le 5 avril !

    - by Kinoa
    Le Big Data vient de plus en plus souvent au devant de la scène et vous souhaitez en apprendre davantage ? Générés à partir des réseaux sociaux, de capteurs numériques et autres équipements mobiles, les Big Data - autrement dits, d'énormes volumes de données - constituent une mine d'informations précieuses sur vos activités et les comportements de vos clients. Votre challenge aujourd’hui consiste à gérer l’acquisition, l’organisation et la compréhension de ces volumes de données non structurées, et à les intégrer dans votre système d’information. Vous avez des questions ? Ca vous parait complexe ? Alors le Forum Oracle Bid Data organisé par Oracle et Intel est fait pour vous !   Nous aborderons plusieurs points : Accélération du déploiement de Big Data par l'approche intégrée du hardware et du software Mise à disposition de tous les outils nécessaires au processus complet, de l'acquisition des données à la restitution Intégration de Big Data dans votre système d'information pour fournir aux utilisateurs la quintessence de l'information Nous vous avons concocté un programme des plus alléchant pour cette journée du 5 avril : 9h00 Accueil et remise des badges 9h30 Big Data : The Industry View. Are you ready ?Johan Hendrickx, Core Technology Director, Oracle EMEA Keynote : Big Data – Are you ready ? George Lumpkin, Vice President of DW Product Management, Oracle Corporation Acquisition des données dans votre Big Dataavec Hadoop et Oracle NoSQL Pause Organisez et structurez l'information au sein de votre Big Data avec Big Data Connectors et Oracle Data Integrator Tirez parti des analyses des données de votre Big Dataavec Oracle Endeca et Oracle Business Intelligence 13h00 Cocktail déjeunatoire Le nombre de places est limité, pensez à vous inscrire dès maintenant. Lieu :  Maison de la Chimie28 B, rue Saint Dominique 75007 Paris

    Read the article

  • Some tips for working with big data models

    The main goal of this article is to present some tips to help professionals that need to work with complex, big, and hard to understand database models that anyone may came across some day. Join SQL Backup’s 35,000+ customers to compress and strengthen your backups "SQL Backup will be a REAL boost to any DBA lucky enough to use it." Jonathan Allen. Download a free trial now.

    Read the article

  • Presenting Loading Data Warehouse Partitions with SSIS 2012 at SQL Saturday DC!

    - by andyleonard
    Join Darryll Petrancuri and me as we present Loading Data Warehouse Partitions with SSIS 2012 Saturday 8 Dec 2012 at SQL Saturday 173 in DC ! SQL Server 2012 table partitions offer powerful Big Data solutions to the Data Warehouse ETL Developer. In this presentation, Darryll Petrancuri and Andy Leonard demonstrate one approach to loading partitioned tables and managing the partitions using SSIS 2012, and reporting partition metrics using SSRS 2012. Objectives A practical solution for loading Big...(read more)

    Read the article

  • What makes a project big?

    - by Jonny
    Just out of curiosity what's the difference between a small, medium and large size project? Is it measured by lines of code or complexity or what? Im building a bartering system and so far have about 1000 lines of code for login/registration. Even though there's lots of LOC i wouldnt consider it a big project because its not that complex though this is my first project so im not sure. How is it measured?

    Read the article

  • Showrooming: What's the big deal?

    - by David Dorf
    There's been lots of chatter recently on how retailers will combat showrooming this holiday season.  Best Buy and Target, for example, plan to price-match certain online sites.  But from my perspective, the whole showrooming concept is overblown.  Yes, mobile phones make is easier to comparison-shop, but consumers have been doing that all along.  Retailers have to work hard to merchandise their stores with the right products at the right price with the right promotions.  Its Retail 101. Yeah ok, many websites don't have to charge tax so they have an advantage, but they also have to cover shipping costs. Brick-and-mortar stores have the opportunity to provide expertise, fit, and instant gratification all of which are pretty big advantages. I see lots of studies that claim a large percentage of shoppers are showrooming.  Now I don't do much shopping, but when I do I rarely see anyone scanning UPC codes in the aisles.  If you dig into those studies, the question is usually something like, "have you used your mobile phone to price compare while shopping in the last year."  Well yeah, I did it once -- out of the 20 shopping trips.  And by the way, the in-store price was close enough to just buy the item.  Based on casual observation and informal surveys of friends, showrooming is not the modus-operandi for today's busy shoppers. I never see people showrooming in grocery stores, and most people don't bother for fashion.  For big purchases like appliances and furniture, I bet most people do their research online before entering the store.  The cases where I've done it was to see if a promotion was in fact a good deal.  Or even to make sure the in-store price is the same as the online price for the same brand. So, if you think you're a victim of showrooming, I suggest you look at the bigger picture.  Are you providing an engaging store experience?  Are you allowing customers to shop the way they want to shop, using various touchpoints?  Are you monitoring the competition to ensure prices are competitive?  Are your promotions attracting the right customers? Hubert Jolly, CEO of Best Buy, recently commented that showrooming might just get more people into his stores. "Once customers are in our stores, they're ours to lose."

    Read the article

  • Big-name School for Undergrad Students

    - by itaiferber
    As a soon-to-be graduating high school senior in the U.S., I'm going to be facing a tough decision in a few months: which college should I go to? Will it be worth it to go to Cornell or Stanford or Carnegie Mellon (assuming I get in, of course) to get a big-name computer science degree, internships, and connections with professors, while taking on massive debt; or am I better off going to SUNY Binghamton (probably the best state school in New York) and still get a pretty decent education while saving myself from over a hundred-thousand dollars worth of debt? Yes, I know questions like this has been asked before (namely here and here), but please bear with me because I haven't found an answer that fits my particular situation. I've read the two linked questions above in depth, but they haven't answered what I want to know: Yes, I understand that going to a big-name college can potentially get me connected with some wonderful professors and leaders in the field, but on average, how does that translate financially? I mean, will good connections pay off so well that I'd be easily getting rid of over a hundred-thousand dollars of debt? And how does the fact that I can get a fifth-years master's degree at Carnegie Mellon play into the equation? Will the higher degree right off the bat help me get a better-paying job just out of college, or will the extra year only put me further into debt? Not having to go to graduate school to get a comparable degree will, of course, be a great financial relief, but will getting it so early give it any greater worth? And if I go to SUNY Binghamton, which is far lesser-known than what I've considered (although if there are any alumni out there who want to share their experience, I would greatly appreciate it), would I be closing off doors that would potentially offset my short-term economic gain with long-term benefits? Essentially, is the short-term benefit overweighed by a potential long-term loss? The answers to these questions all tie in to my final college decision (again, permitting I make it to these schools), so I hope that asking the skilled and knowledgeable people of the field will help me make the right choice (if there is such a thing). Also, please note: I'm in a rather peculiar situation where I can't pay for college without taking out a bunch of loans, but will be getting little to no financial aid (likely federal or otherwise). I don't want to elaborate on this too much (so take it at face value), but this is mainly the reason I'm asking the question. Thanks a lot! It means a lot to me.

    Read the article

< Previous Page | 41 42 43 44 45 46 47 48 49 50 51 52  | Next Page >