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  • Data Everywhere - Step 3 in the Stairway to Reporting Services

    In this article, MVP Jessica Moss talks about data sources and how to connect them to your report. Learn how to add the reusable data sets and data sources for your reporting projects. 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.

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  • Legitimate use of the Windows "Documents" folder in programs.

    - by romkyns
    Anyone who likes their Documents folder to contain only things they place there knows that the standard Documents folder is completely unsuitable for this task. Every program seems to want to put its settings, data, or something equally irrelevant into the Documents folder, despite the fact that there are folders specifically for this job1. So that this doesn't sound empty, take my personal "Documents" folder as an example. I don't ever use it, in that I never, under any circumstances, save anything into this folder myself. And yet, it contains 46 folders and 3 files at the top level, for a total of 800 files in 500 folders. That's 190 MB of "documents" I didn't create. Obviously any actual documents would immediately get lost in this mess. My question is: can anything be done to improve the situation sufficiently to make "Documents" useful again, say over the next 5 years? Can programmers be somehow educated en-masse not to use it as a dumping ground? Could the OS start reporting some "fake" location hidden under AppData through the existing APIs, while only allowing Explorer and the various Open/Save dialogs to know where the "real" Documents folder resides? Or are any attempts completely futile or even unnecessary? 1For the record, here's a quick summary of the various standard directories that should be used instead of "Documents": RoamingAppData for user-specific data and settings. This is the directory to use for user-specific non-temporary data. Anything placed here will be available on any machine that a given user logs on to in networks where this is configured. Do not place large files here though, because they slow down login/logout in such environments. LocalAppData for user-and-machine-specific data and settings. This data differs for every user and every machine. This is also where very large user-specific data should be placed. ProgramData for machine-specific data and settings. These are the same regardless of which user is logged on, and will not roam to other machines in a network. GetTempPath for all files that may be wiped without loss of data when not in use. This is also the place for things like caches, because like temporary data, a cache does not need to be backed up. Place your huge cache here and you'll save your user some backup trouble. "Documents" itself should only ever be used if the user specified it manually by entering a path or selecting it in a Save dialog. That is the only time it is ever appropriate to save stuff in "Documents".

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  • E-Business Suite at OpenWorld

    - by [email protected]
    Did you know...Oracle E-Business Suite Release 12.1 offers nine new solutions and more than 400 enhancements across human resources, supply chain management, procurement, projects, master data management, customer relationship management, and financials? With over 150 session dedicated to E-Business Suite, at OpenWorld, you can learn all about Release 12.1. Follow this link to the OpenWorld content catalog to get a list of session for E-Business Suite. Or this one to get more information on Oracle E-Business Suite Release 12.1

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  • Google I/O 2012 - Knowledge-Based Application Design Patterns

    Google I/O 2012 - Knowledge-Based Application Design Patterns Shawn Simister In this talk we'll look at emerging design patterns for building web applications that take advantage of large-scale, structured data. We'll look at open datasets like Wikipedia and Freebase as well as structured markup like Schema.org and RDFa to see what new types of applications these technologies open up for developers. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 1 0 ratings Time: 56:55 More in Science & Technology

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  • What can I do with enthusiast single board computers?

    - by ajax81
    I'm a career Windows developer and the only experience I have interfacing hardware is with printers, USB, and point-of-sale devices. However, after reading this article my interest in enthusiast programmable boards has been peaked. Unfortunately, I'm at a loss when it comes to exactly what I would do with one of these boards. Are activities limited to simple exercises akin to the projects in high school where we hooked LED's up to bread boards and made them blink? or are they capable of much, much more?

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  • Best Practices for High Volume CPA Import Operations with ebXML in B2B 11g

    - by Shub Lahiri, A-Team
    Background B2B 11g supports ebXML messaging protocol, where multiple CPAs can be imported via command-line utilities.  This note highlights one aspect of the best practices for import of CPA, when large numbers of CPAs in the excess of several hundreds are required to be maintained within the B2B repository. Symptoms The import of CPA usually is a 2-step process, namely creating a soa.zip file using b2bcpaimport utility based on a CPA properties file and then using b2bimport to import the b2b repository.  The commands are provided below: ant -f ant-b2b-util.xml b2bcpaimport -Dpropfile="<Path to cpp_cpa.properties>" -Dstandard=true ant -f ant-b2b-util.xml b2bimport -Dlocalfile=true -Dexportfile="<Path to soa.zip>" -Doverwrite=true Usually the first command completes fairly quickly regardless of the number of CPAs in the repository. However, as the number of trading partners within the repository goes up, the time to complete the second command could go up to ~30 secs per operation. So, this could add up to a significant amount, if there is a need to import hundreds of CPA in a production system within a limited downtime, maintenance window.  Remedy In situations, where there is a large number of entries to be imported, it is best to setup a staging environment and go through the import operation of each individual CPA in an empty repository. Since, this will be done in an empty repository, the time taken for completion should be reasonable.  After all the partner profiles have been imported, a full repository export can be taken to capture the metadata for all the entries in one file.  If this single file with all the partner entries is imported in a loaded repository, the total time taken for import of all the CPAs should see a dramatic reduction. Results Let us take a look at the numbers to see the benefit of this approach. With a pre-loaded repository of ~400 partners, the individual import time for each entry takes ~30 secs. So, if we had to import another 100 partners, the individual entries will take ~50 minutes (100 times ~30 secs). On the other hand, if we prepare the repository export file of the same 100 partners from a staging environment earlier, the import takes about ~5 mins. The total processing time for the loading of metadata, specially in a production environment, can thus be shortened by almost a factor of 10. Summary The following diagram summarizes the entire approach and process. Acknowledgements The material posted here has been compiled with the help from B2B Engineering and Product Management teams.

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  • Proposal from OLPC Paraguay on how to manage Sugar or other educational software

    <b>Stop:</b> "The project to deliver One Laptop Per Child (OLPC) for educational purpose in developing countries is doing great in Paraguay. According to developer Bernie Innocenti, this success comes from a way to manage the development of the Sugar educational software that other countries (or any other similar projects, see for example the Teachermate or the italian JumpPC) could and should imitate."

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  • Suggestion for a hybrid Gnome-Kde Distro.

    - by tinhed
    After years of working on various Desktop Environments, i have come to the conclusion , that there are some KDE (qt) applications, which have no GTK equivalent. Can anyone please suggest a hybrid Gnome-KDE Distro having lots of apps installed by default. I have a slow- unreliable internet connection, so downloading large amounts of data would be aproblem. Linux Mint would have been my first choice, unfortunately the amount af apps bundled by default is quite limited.

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  • Why Hire a Web Page Developer?

    Death they say is a good leveler. But today it is the web. Service providers of the past decade started with the internet and are reaping the benefits of conducting business over the internet. Old monolith brick-and-mortar service providers have to now transit into this web-world or become morphed. Hence large or small, old or new all service providers require a service - that of a web page developer.

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  • Enabling a multi display desktop completely broke Gnome Shell. Help?

    - by Chintan Parikh
    I've been trying to get my dual desktops working on Ubuntu for a while. I previously had them as one large desktop, but that was incredibly slow for some reason. I tried to switch them to multi display desktop on the AMD Catalyst Control Center. Here's what I get after restarting and logging in: http://i.imgur.com/SEjgU.png I'm running an AMD Quad Core A6, AMD Radeon 6540G2 GPU, 16GB Ram. Ubuntu 12.04 Any ideas?

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  • SCOM, 90 Days In, I

    - by merrillaldrich
    At my office we’re about 90 days into our implementation of System Center Operations Manager for Windows Server and SQL Server monitoring. All in all it’s been a good experience, and I’m really excited to have access to this tool. I’ve logged a fair number of years as a DBA on products like Idera’s SQL Diagnostic Manager and Quest Spotlight on SQL Server Enterprise (and “roll-your-own” solutions) in smaller environments, and liked them, but they always, in my experience, struggled with really large...(read more)

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  • Data Virtualization: Federated and Hybrid

    - by Krishnamoorthy
    Data becomes useful when it can be leveraged at the right time. Not only enterprises application stores operate on large volume, velocity and variety of data. Mobile and social computing are in the need of operating in foresaid data. Replicating and transferring large swaths of data is one challenge faced in the field of data integration. However, smaller chunks of data aggregated from a variety of sources presents and even more interesting challenge in the industry. Over the past few decades, technology trends focused on best user experience, operating systems, high performance computing, high performance web sites, analysis of warehouse data, service oriented architecture, social computing, cloud computing, and big data. Operating on the ‘dark data’ becomes mandatory in the future technology trend, although, no solution can make dark data useful data in a single day. Useful data can be quantified by the facts of contextual, personalized and on time delivery. In most cases, data from a single source may not be complete the picture. Data has to be combined and computed from various sources, where data may be captured as hybrid data, meaning the combination of structured and unstructured data. Since related data is often found across disparate sources, effectively integrating these sources determines how useful this data ultimately becomes. Technology trends in 2013 are expected to focus on big data and private cloud. Consumers are not merely interested in where data is located or how data is retrieved and computed. Consumers are interested in how quick and how the data can be leveraged. In many cases, data virtualization is the right solution, and is expected to play a foundational role for SOA, Cloud integration, and Big Data. The Oracle Data Integration portfolio includes a data virtualization product called ODSI (Oracle Data Service Integrator). Unlike other data virtualization solutions, ODSI can perform both read and write operations on federated/hybrid data (RDBMS, Webservices,  delimited file and XML). The ODSI Engine is built on XQuery, hence ODSI user can perform computations on data either using XQuery or SQL. Built in data and query caching features, which reduces latency in repetitive calls. Rightly positioning ODSI, can results in a highly scalable model, reducing spend on additional hardware infrastructure.

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  • Sql Table Refactoring Challenge

    Ive been working a bit on cleaning up a large table to make it more efficient.  I pretty much know what I need to do at this point, but I figured Id offer up a challenge for my readers, to see if they can catch everything I have as well as to see if Ive missed anything.  So to that end, I give you my table: CREATE TABLE [dbo].[lq_ActivityLog]( [ID] [bigint] IDENTITY(1,1) NOT NULL, [PlacementID] [int] NOT NULL, [CreativeID] [int] NOT NULL, [PublisherID] [int] NOT NULL, [CountryCode] [nvarchar](10) NOT NULL, [RequestedZoneID] [int] NOT NULL, [AboveFold] [int] NOT NULL, [Period] [datetime] NOT NULL, [Clicks] [int] NOT NULL, [Impressions] [int] NOT NULL, CONSTRAINT [PK_lq_ActivityLog2] PRIMARY KEY CLUSTERED ( [Period] ASC, [PlacementID] ASC, [CreativeID] ASC, [PublisherID] ASC, [RequestedZoneID] ASC, [AboveFold] ASC, [CountryCode] ASC)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]) ON [PRIMARY] And now some assumptions and additional information: The table has 200,000,000 rows currently PlacementID ranges from 1 to 5000 and should support at least 50,000 CreativeID ranges from 1 to 5000 and should support at least 50,000 PublisherID ranges from 1 to 500 and should support at least 50,000 CountryCode is a 2-character ISO standard (e.g. US) and there is a country table with an integer ID already.  There are < 300 rows. RequestedZoneID ranges from 1 to 100 and should support at least 50,000 AboveFold has values of 1, 0, or 1 only. Period is a date (no time). Clicks range from 0 to 5000. Impressions range from 0 to 5000000. The table is currently write-mostly.  Its primary purpose is to log advertising activity as quickly as possible.  Nothing in the rest of the system reads from it except for batch jobs that pull the data into summary tables. Heres the current information on the database tables size: Design Goals This table has been in use for about 5 years and has performed very well during that time.  The only complaints we have are that it is quite large and also there are occasionally timeouts for queries that reference it, particularly when batch jobs are pulling data from it.  Any changes should be made with an eye toward keeping write performance optimal  while trying to reduce space and improve read performance / eliminate timeouts during read operations. Refactor There are, I suggest to you, some glaringly obvious optimizations that can be made to this table.  And Im sure there are some ninja tweaks known to SQL gurus that would be a big help as well.  Ill post my own suggested changes in a follow-up post for now feel free to comment with your suggestions. 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.

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  • Active Directory Snapshots with Windows Server 2008

    Snapshots are a useful feature of Windows Server 2008. Taking a snapshot of Active Directory as a scheduled task can prove to be a wise precaution in case disaster strikes. Once they are mounted, they can be accessed by any LDAP tool which allows the user to specify a host name and port number. Ben Lye shows how you can restore attributes to a large numbers of broken distribution groups from a snapshot.

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  • Mandriva Linux 2010.2 est disponible, elle dépoussière la version sortie fin 2010 avec un nouveau bureau

    Mandriva Linux 2010.2 est disponible Elle dépoussière la version sortie fin 2010 avec un nouveau bureau Mise à jour 13/01/11, Par Hinault Romaric La distribution française Linux Mandriva 2010.2 vient d'être mise en ligne. Plus rapide, plus simple et plus sure, Mandriva Linux 2010.2 s'appuie sur le Kernel 2.6.33 et apporte plusieurs améliorations de sécurité, des correctifs de bogues, un nouveau bureau et le support d'un large panel d'applications et de configurations matérielles faisant qui en font, d'après l'éditeur, un environnent plus stable. « Ergonomique et rapide à la fois, Mandriva Linux 2010.2 s'in...

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  • How should I land my next consulting gig? [closed]

    - by MrOodles
    For the last couple of years, I've been working on speculative projects, expanding my skillset with side work, and paying the bills while having a blast consulting for startups. However, for a number of personal reasons, I need to spend the next 6-9 months maximizing my cash income. I want to put this into effect starting in early August. So that means I have one month to put the necessary client list/portfolio/resume together to start making this happen. As a programmer, I am very proficient in building Django web apps. I can write the necessary SQL, python, javascript, and css to build every part of a Django app, and then do the system administration necessary to deploy on AWS using EC2. I can also rig up a CDN to work seemlessly with the app using S3 and Cloudfront. I have built GIS applications using GeoDjango and PostGIS, and I have constructed social video apps by implementing Encoding.com as a service to prepare raw video files for consumption on the web. I am also moderately proficient in programming PHP, Java, and C#. I have built web apps in PHP, and desktop apps in Java and C#. I have dabbled with Android applications and iPhone apps, but nothing I would show off. I have experience doing SEO, social media marketing, and content marketing. Many of my clients have needed their apps promoted after they were built, and I was always happy to oblige when I could. I have also worked with biometrics technology including fingerprints for government contractors. This was as much a business analyst role as it was a programming gig, as I had to help answer RFPs, make checklists, and work around reems and reems of regulations to build applications that met very large bureaucratic requirements. I only have two real requirements for my next gig(s): 1) Work remotely. I live in North East Ohio, and I don't plan on leaving, but I wouldn't mind traveling one or two weeks out of every month to service clients who need on-site help. 2) $60.00hr-$∞ USD contracting rate. So what should I do for the next 30 days to achieve this? Should I target some large company and learn the requisite buzzwords to impress them? Should I learn some new language or technology? Polish some skill that I already have? Should I build something using my current skillset, or with some new technology? Should I put a website for my consultancy together to market myself? Should I do that using latest technology x, y, and z? Or should I just slap something up on Tumblr? I'm willing to do anything (moral) over the next 4 weeks to put myself into a position to maximize my income, and I'm open to all and every idea Programmers users may have. Let me hear them.

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  • 7 Tips to Improve SEO

    Running a website is hard; making that website successful is even harder. A very large part of having a successful website is having good SEO and hopefully these 7 tips will help you improve SEO on your website.

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  • T-SQL Tuesday #19: Blind Spots

    - by merrillaldrich
    A while ago I wrote a post, Visualize Disaster , prompted by a real incident we had at my office. Fortunately we came through it OK from a business point of view, but I took away an important lesson: it’s very easy, whether your organization and your team is savvy about disaster recovery or not, to have significant blind spots with regard to recovery in the face of some large, unexpected outage. We have very clear direction and decent budgets to work with, and the safety and recoverability of applications...(read more)

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  • Event sourcing and persistence

    - by jgauffin
    I'm reading up on event sourcing and have a question regarding persistence. I can still have a DB with all entities, right? Or should the events be replayed every time the application is started to get the latest version of each entity in the memory? Seems like a waste on larger systems (as in large amount of data)? The point with event sourcing is that I can can replay the events to populate a data store if required? (or analyze the data)

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  • i'm confused what skill shall i learn at my internship

    - by iyad al aqel
    i'm a software Engineering student having my internship this summer. the company asked me to choose one or two skills that i want to master and they will coordinate me and give me small tasks to medium projects to master it . Now , i'm confused shall i continue with web development and learn .NET given that i've been working with PHP for 2 years OR entering the mobile development world and learn Android. any advice guys ?

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  • Unix tools in business use: are they helpful?

    - by Prometheus
    Do you think knowing Unix tools like sed, awk, LaTeX, Perl give you a great edge in the business world? (e.g. being a manager) From my short reflection, the only profession that needs those sort of (plain text) tools is programming. Because even when I do creative writing, I rarely ever need it. I mean, do CEOs and executives of large corporations ever learn this kind of stuff if they were not CS major to begin with?

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  • Experiments in Big Data Visualization on Maps

    Experiments in Big Data Visualization on Maps Brendan Kenny and Mano Marks continue their series on using the CanvasLayer library and HTML5 APIs to visualize large amounts of data on top of Google maps. This week they look at loading Shapefiles and KML directly in the browser and using WebGL to render their content over a map. From: GoogleDevelopers Views: 0 1 ratings Time: 00:00 More in Science & Technology

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  • Organization &amp; Architecture UNISA Studies &ndash; Chap 4

    - by MarkPearl
    Learning Outcomes Explain the characteristics of memory systems Describe the memory hierarchy Discuss cache memory principles Discuss issues relevant to cache design Describe the cache organization of the Pentium Computer Memory Systems There are key characteristics of memory… Location – internal or external Capacity – expressed in terms of bytes Unit of Transfer – the number of bits read out of or written into memory at a time Access Method – sequential, direct, random or associative From a users perspective the two most important characteristics of memory are… Capacity Performance – access time, memory cycle time, transfer rate The trade off for memory happens along three axis… Faster access time, greater cost per bit Greater capacity, smaller cost per bit Greater capacity, slower access time This leads to people using a tiered approach in their use of memory   As one goes down the hierarchy, the following occurs… Decreasing cost per bit Increasing capacity Increasing access time Decreasing frequency of access of the memory by the processor The use of two levels of memory to reduce average access time works in principle, but only if conditions 1 to 4 apply. A variety of technologies exist that allow us to accomplish this. Thus it is possible to organize data across the hierarchy such that the percentage of accesses to each successively lower level is substantially less than that of the level above. A portion of main memory can be used as a buffer to hold data temporarily that is to be read out to disk. This is sometimes referred to as a disk cache and improves performance in two ways… Disk writes are clustered. Instead of many small transfers of data, we have a few large transfers of data. This improves disk performance and minimizes processor involvement. Some data designed for write-out may be referenced by a program before the next dump to disk. In that case the data is retrieved rapidly from the software cache rather than slowly from disk. Cache Memory Principles Cache memory is substantially faster than main memory. A caching system works as follows.. When a processor attempts to read a word of memory, a check is made to see if this in in cache memory… If it is, the data is supplied, If it is not in the cache, a block of main memory, consisting of a fixed number of words is loaded to the cache. Because of the phenomenon of locality of references, when a block of data is fetched into the cache, it is likely that there will be future references to that same memory location or to other words in the block. Elements of Cache Design While there are a large number of cache implementations, there are a few basic design elements that serve to classify and differentiate cache architectures… Cache Addresses Cache Size Mapping Function Replacement Algorithm Write Policy Line Size Number of Caches Cache Addresses Almost all non-embedded processors support virtual memory. Virtual memory in essence allows a program to address memory from a logical point of view without needing to worry about the amount of physical memory available. When virtual addresses are used the designer may choose to place the cache between the MMU (memory management unit) and the processor or between the MMU and main memory. The disadvantage of virtual memory is that most virtual memory systems supply each application with the same virtual memory address space (each application sees virtual memory starting at memory address 0), which means the cache memory must be completely flushed with each application context switch or extra bits must be added to each line of the cache to identify which virtual address space the address refers to. Cache Size We would like the size of the cache to be small enough so that the overall average cost per bit is close to that of main memory alone and large enough so that the overall average access time is close to that of the cache alone. Also, larger caches are slightly slower than smaller ones. Mapping Function Because there are fewer cache lines than main memory blocks, an algorithm is needed for mapping main memory blocks into cache lines. The choice of mapping function dictates how the cache is organized. Three techniques can be used… Direct – simplest technique, maps each block of main memory into only one possible cache line Associative – Each main memory block to be loaded into any line of the cache Set Associative – exhibits the strengths of both the direct and associative approaches while reducing their disadvantages For detailed explanations of each approach – read the text book (page 148 – 154) Replacement Algorithm For associative and set associating mapping a replacement algorithm is needed to determine which of the existing blocks in the cache must be replaced by a new block. There are four common approaches… LRU (Least recently used) FIFO (First in first out) LFU (Least frequently used) Random selection Write Policy When a block resident in the cache is to be replaced, there are two cases to consider If no writes to that block have happened in the cache – discard it If a write has occurred, a process needs to be initiated where the changes in the cache are propagated back to the main memory. There are several approaches to achieve this including… Write Through – all writes to the cache are done to the main memory as well at the point of the change Write Back – when a block is replaced, all dirty bits are written back to main memory The problem is complicated when we have multiple caches, there are techniques to accommodate for this but I have not summarized them. Line Size When a block of data is retrieved and placed in the cache, not only the desired word but also some number of adjacent words are retrieved. As the block size increases from very small to larger sizes, the hit ratio will at first increase because of the principle of locality, which states that the data in the vicinity of a referenced word are likely to be referenced in the near future. As the block size increases, more useful data are brought into cache. The hit ratio will begin to decrease as the block becomes even bigger and the probability of using the newly fetched information becomes less than the probability of using the newly fetched information that has to be replaced. Two specific effects come into play… Larger blocks reduce the number of blocks that fit into a cache. Because each block fetch overwrites older cache contents, a small number of blocks results in data being overwritten shortly after they are fetched. As a block becomes larger, each additional word is farther from the requested word and therefore less likely to be needed in the near future. The relationship between block size and hit ratio is complex, and no set approach is judged to be the best in all circumstances.   Pentium 4 and ARM cache organizations The processor core consists of four major components: Fetch/decode unit – fetches program instruction in order from the L2 cache, decodes these into a series of micro-operations, and stores the results in the L2 instruction cache Out-of-order execution logic – Schedules execution of the micro-operations subject to data dependencies and resource availability – thus micro-operations may be scheduled for execution in a different order than they were fetched from the instruction stream. As time permits, this unit schedules speculative execution of micro-operations that may be required in the future Execution units – These units execute micro-operations, fetching the required data from the L1 data cache and temporarily storing results in registers Memory subsystem – This unit includes the L2 and L3 caches and the system bus, which is used to access main memory when the L1 and L2 caches have a cache miss and to access the system I/O resources

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