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  • How to study for 70-573 Microsoft SharePoint 2010, Application Development

    - by ybbest
    I just passed my 70-573 exam today and would like to Share my experience on learning SharePoint 2010 as a beginner. 1. Book Microsoft SharePoint 2010: Building Solutions for SharePoint 2010 by Sahil Malik http://apress.com/book/view/1430228652 Sahil is an expert and MVP in SharePoint 2010.He certainly know his field and the book is well written. More importantly Sahil has got very good sense of humor in delivering the knowledge. 2.A development machine It is of great importance to have a dev machine , you cannot learn a new technology by just reading a book nor by watching some training videos. You need get your hands dirty with SharePoint a lot. 3.Training videos Since I have one year subscription with learndev , I use them as my learning resources. It is quite cheap , only cost US $99 for a year subscription and you will get not only the SharePoint training but the whole training library .The videos are from Appdev . Appdev training is of high quality. http://www.appdev.com/ http://www.learndevnow.com/ You can also get the videos from Microsoft SharePoint site. They are pretty good too. But bear in mind , by just watching these videos you will not learn much , you need to build a SharePoint 2010 machine and play with it .Try to write the sample code yourself and not just copy and paste. 4. Write blogs about your learning. This will motive you in your long journey with SharePoint learning. 5. Do check out the patterns & practices SharePoint Guidance on codeplex. http://spg.codeplex.com/ 6.Thanks for Becky Bertram,who kindly put up all the exam requirements with links to MSDN http://blog.beckybertram.com/Lists/Exam%2070573%20Study%20Guide/AllItems.aspx

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  • New Study Guide: "Oracle Solaris 11 System Administration"

    - by Harold Green
    A new helpful resource for Solaris 11 exam preparation has just been released. "Oracle Solaris 11 System Administration" by author and educator Bill Calkins covers effective installation and administration of an Oracle Solaris 11 system. In addition to being a valuable, comprehensive study guide, the book also serves as a complete reference guide for the everyday tasks of an Oracle Solaris System Administrator. This book can be a valuable addition to your preparation for the Oracle Solaris 11 Advanced System Administration (1Z1-822) certification exam. This exam, combined with the Oracle Certified Associate, Oracle Solaris 11 System Administrator (OCA) certification and a training requirement will earn you the Oracle Certified Professional, Oracle Solaris 11 System Administrator (OCP) certification. This valuable credential is designed for Oracle Solaris System Administrators with a strong foundation in the Oracle Solaris 11 Operating System as well as a fundamental understanding of the UNIX operating system, commands and utilities. This certification covers topics on core elements such as: configuring network interfaces, managing swap configurations, crash dumps, and core files. The 822 exam is currently in beta at the greatly discounted rate of $50 USD, but the beta period will soon be closing (likely the end of this month/June 2013), so be take advantage of the opportunity to be one of the first to hold this new certification.  Bill Calkins also recently posted some tips for taking Oracle Solaris 11 certification exams.

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  • What is the best certification for the self-taught ASP.Net programmer? [closed]

    - by Wahid Bitar
    I learned the C#.Net language from books and many other resources then i did some good projects with ASP.Net "Web Forms & MVC". But i wanna a good certificate to get a better work out of my country as i suppose. I've two choices: Apply for a " college / institute " and start study academic courses to be more professional and maybe in two years I'll "hopefully" graduate with this college certificate. Apply for kind of " Certifications by Companies " like MCTS from Microsoft or something like that and study their straightforward courses then maybe with three or four months I'll get this "Not official Certificate". Is the second type of certifications good for learning and work or the best is the hard way ?. Please give me advises with certifications names please. ======================= Update: This is not related to certain country or region. I'm asking about a good certification and courses for an ASP.Net and C# in general programmer.

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  • Faster Trip to Innovation with Simplified Data Integration: Sabre Holdings Case Study

    - by Tanu Sood
    Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Author: Irem Radzik, Director of Product Marketing, Data Integration, Oracle In today’s fast-paced, competitive environment, IT teams are under pressure to deliver technology solutions for many critical business initiatives as fast as possible. When the focus is on speed, it can be easy to continue to use old style, point-to-point custom scripts that grow organically to the point where they are unmanageable and too costly to maintain. As data volumes, data sources, and end users grow, uncoordinated data integration efforts create significant inefficiencies for both IT and business users. In addition to losing IT productivity due to maintaining spaghetti architecture, data integrity becomes a concern as well. Errors caused by inconsistent, data and manual data entry can prove very costly for companies and disrupt business activities. Many industry leaders recognize now that data should be moved in an automated and reliable manner across all platforms to have one version of the truth. By simplifying their data integration architecture and standardizing on a centralized approach, IT teams now accelerate time to market. Especially, using a centralized, shared-service approach brings agility, increases IT productivity, and frees up resources for innovation. One such industry leader that simplified its data integration architecture is Sabre Holdings. Sabre Holdings provides distribution and technology solutions for the travel industry, and is a winner of Oracle Excellence Awards for Fusion Middleware in 2011 in the data integration category. I had the pleasure to host Sabre Holdings on a public webcast and discuss their data integration best practices for data warehousing. In this webcast Sabre’s Amjad Saeed, presented how the company reduced complexity by consolidating systems and standardizing development on Oracle Data Integrator and Oracle GoldenGate for its global data warehouse development team. With Oracle’s complete real-time data integration solution, Sabre also streamlined support and maintenance operations, achieved real-time view in the execution of the integration processes, and can manage the data warehouse and business intelligence solution performance on demand. By reducing complexity and leveraging timely market insights, the company was able to decrease time to market by 40%. You can now listen to the webcast on demand: Sabre Holdings Case Study: Accelerating Innovation using Oracle Data Integration I invite you to hear directly from Sabre how to use advanced data integration capabilities to enable accelerated innovation. To learn more about Oracle’s data integration offering you can download our free resources.

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  • Xpath fails if an element has a a xmlns attribute

    - by Callum Lamb
    Im trying to use xml to parse a .COLLADA file. The problem is I can't seem to use xpath() to access elements if the root tag has a xmlns attribute. For example this works: $string = <<<TEST <?xml version="1.0" encoding="utf-8"?> <COLLADA version="1.4.1"> <library_materials> <material id="Material" name="Material"> <instance_effect url="#Material-effect"/> </material> <material id="Material2" name="Material"> <instance_effect url="#Material-effect2"/> </material> </library_materials> </COLLADA> TEST; $lol = new SimpleXMLElement($string); print_r($lol->library_materials->xpath("material[@id='Material2']")); But this doesn't: $string = <<<TEST <?xml version="1.0" encoding="utf-8"?> <COLLADA xmlns="http://www.collada.org/2005/11/COLLADASchema" version="1.4.1"> <library_materials> <material id="Material" name="Material"> <instance_effect url="#Material-effect"/> </material> <material id="Material2" name="Material"> <instance_effect url="#Material-effect2"/> </material> </library_materials> </COLLADA> TEST; $lol = new SimpleXMLElement($string); print_r($lol->library_materials->xpath("material[@id='Material2']")); How does the xmlns suddenly make the xml tree unusable? I thought it just defined the namespace so you could tell it apart from other identical tags in other namespaces. What am I missing?

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  • Columnstore Case Study #2: Columnstore faster than SSAS Cube at DevCon Security

    - by aspiringgeek
    Preamble This is the second in a series of posts documenting big wins encountered using columnstore indexes in SQL Server 2012 & 2014.  Many of these can be found in my big deck along with details such as internals, best practices, caveats, etc.  The purpose of sharing the case studies in this context is to provide an easy-to-consume quick-reference alternative. See also Columnstore Case Study #1: MSIT SONAR Aggregations Why Columnstore? As stated previously, If we’re looking for a subset of columns from one or a few rows, given the right indexes, SQL Server can do a superlative job of providing an answer. If we’re asking a question which by design needs to hit lots of rows—DW, reporting, aggregations, grouping, scans, etc., SQL Server has never had a good mechanism—until columnstore. Columnstore indexes were introduced in SQL Server 2012. However, they're still largely unknown. Some adoption blockers existed; yet columnstore was nonetheless a game changer for many apps.  In SQL Server 2014, potential blockers have been largely removed & they're going to profoundly change the way we interact with our data.  The purpose of this series is to share the performance benefits of columnstore & documenting columnstore is a compelling reason to upgrade to SQL Server 2014. The Customer DevCon Security provides home & business security services & has been in business for 135 years. I met DevCon personnel while speaking to the Utah County SQL User Group on 20 February 2012. (Thanks to TJ Belt (b|@tjaybelt) & Ben Miller (b|@DBADuck) for the invitation which serendipitously coincided with the height of ski season.) The App: DevCon Security Reporting: Optimized & Ad Hoc Queries DevCon users interrogate a SQL Server 2012 Analysis Services cube via SSRS. In addition, the SQL Server 2012 relational back end is the target of ad hoc queries; this DW back end is refreshed nightly during a brief maintenance window via conventional table partition switching. SSRS, SSAS, & MDX Conventional relational structures were unable to provide adequate performance for user interaction for the SSRS reports. An SSAS solution was implemented requiring personnel to ramp up technically, including learning enough MDX to satisfy requirements. Ad Hoc Queries Even though the fact table is relatively small—only 22 million rows & 33GB—the table was a typical DW table in terms of its width: 137 columns, any of which could be the target of ad hoc interrogation. As is common in DW reporting scenarios such as this, it is often nearly to optimize for such queries using conventional indexing. DevCon DBAs & developers attended PASS 2012 & were introduced to the marvels of columnstore in a session presented by Klaus Aschenbrenner (b|@Aschenbrenner) The Details Classic vs. columnstore before-&-after metrics are impressive. Scenario Conventional Structures Columnstore ? SSRS via SSAS 10 - 12 seconds 1 second >10x Ad Hoc 5-7 minutes (300 - 420 seconds) 1 - 2 seconds >100x Here are two charts characterizing this data graphically.  The first is a linear representation of Report Duration (in seconds) for Conventional Structures vs. Columnstore Indexes.  As is so often the case when we chart such significant deltas, the linear scale doesn’t expose some the dramatically improved values corresponding to the columnstore metrics.  Just to make it fair here’s the same data represented logarithmically; yet even here the values corresponding to 1 –2 seconds aren’t visible.  The Wins Performance: Even prior to columnstore implementation, at 10 - 12 seconds canned report performance against the SSAS cube was tolerable. Yet the 1 second performance afterward is clearly better. As significant as that is, imagine the user experience re: ad hoc interrogation. The difference between several minutes vs. one or two seconds is a game changer, literally changing the way users interact with their data—no mental context switching, no wondering when the results will appear, no preoccupation with the spinning mind-numbing hurry-up-&-wait indicators.  As we’ve commonly found elsewhere, columnstore indexes here provided performance improvements of one, two, or more orders of magnitude. Simplified Infrastructure: Because in this case a nonclustered columnstore index on a conventional DW table was faster than an Analysis Services cube, the entire SSAS infrastructure was rendered superfluous & was retired. PASS Rocks: Once again, the value of attending PASS is proven out. The trip to Charlotte combined with eager & enquiring minds let directly to this success story. Find out more about the next PASS Summit here, hosted this year in Seattle on November 4 - 7, 2014. DevCon BI Team Lead Nathan Allan provided this unsolicited feedback: “What we found was pretty awesome. It has been a game changer for us in terms of the flexibility we can offer people that would like to get to the data in different ways.” Summary For DW, reports, & other BI workloads, columnstore often provides significant performance enhancements relative to conventional indexing.  I have documented here, the second in a series of reports on columnstore implementations, results from DevCon Security, a live customer production app for which performance increased by factors of from 10x to 100x for all report queries, including canned queries as well as reducing time for results for ad hoc queries from 5 - 7 minutes to 1 - 2 seconds. As a result of columnstore performance, the customer retired their SSAS infrastructure. I invite you to consider leveraging columnstore in your own environment. Let me know if you have any questions.

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  • Columnstore Case Study #2: Columnstore faster than SSAS Cube at DevCon Security

    - by aspiringgeek
    Preamble This is the second in a series of posts documenting big wins encountered using columnstore indexes in SQL Server 2012 & 2014.  Many of these can be found in my big deck along with details such as internals, best practices, caveats, etc.  The purpose of sharing the case studies in this context is to provide an easy-to-consume quick-reference alternative. See also Columnstore Case Study #1: MSIT SONAR Aggregations Why Columnstore? As stated previously, If we’re looking for a subset of columns from one or a few rows, given the right indexes, SQL Server can do a superlative job of providing an answer. If we’re asking a question which by design needs to hit lots of rows—DW, reporting, aggregations, grouping, scans, etc., SQL Server has never had a good mechanism—until columnstore. Columnstore indexes were introduced in SQL Server 2012. However, they're still largely unknown. Some adoption blockers existed; yet columnstore was nonetheless a game changer for many apps.  In SQL Server 2014, potential blockers have been largely removed & they're going to profoundly change the way we interact with our data.  The purpose of this series is to share the performance benefits of columnstore & documenting columnstore is a compelling reason to upgrade to SQL Server 2014. The Customer DevCon Security provides home & business security services & has been in business for 135 years. I met DevCon personnel while speaking to the Utah County SQL User Group on 20 February 2012. (Thanks to TJ Belt (b|@tjaybelt) & Ben Miller (b|@DBADuck) for the invitation which serendipitously coincided with the height of ski season.) The App: DevCon Security Reporting: Optimized & Ad Hoc Queries DevCon users interrogate a SQL Server 2012 Analysis Services cube via SSRS. In addition, the SQL Server 2012 relational back end is the target of ad hoc queries; this DW back end is refreshed nightly during a brief maintenance window via conventional table partition switching. SSRS, SSAS, & MDX Conventional relational structures were unable to provide adequate performance for user interaction for the SSRS reports. An SSAS solution was implemented requiring personnel to ramp up technically, including learning enough MDX to satisfy requirements. Ad Hoc Queries Even though the fact table is relatively small—only 22 million rows & 33GB—the table was a typical DW table in terms of its width: 137 columns, any of which could be the target of ad hoc interrogation. As is common in DW reporting scenarios such as this, it is often nearly to optimize for such queries using conventional indexing. DevCon DBAs & developers attended PASS 2012 & were introduced to the marvels of columnstore in a session presented by Klaus Aschenbrenner (b|@Aschenbrenner) The Details Classic vs. columnstore before-&-after metrics are impressive. Scenario   Conventional Structures   Columnstore   Δ SSRS via SSAS 10 - 12 seconds 1 second >10x Ad Hoc 5-7 minutes (300 - 420 seconds) 1 - 2 seconds >100x Here are two charts characterizing this data graphically.  The first is a linear representation of Report Duration (in seconds) for Conventional Structures vs. Columnstore Indexes.  As is so often the case when we chart such significant deltas, the linear scale doesn’t expose some the dramatically improved values corresponding to the columnstore metrics.  Just to make it fair here’s the same data represented logarithmically; yet even here the values corresponding to 1 –2 seconds aren’t visible.  The Wins Performance: Even prior to columnstore implementation, at 10 - 12 seconds canned report performance against the SSAS cube was tolerable. Yet the 1 second performance afterward is clearly better. As significant as that is, imagine the user experience re: ad hoc interrogation. The difference between several minutes vs. one or two seconds is a game changer, literally changing the way users interact with their data—no mental context switching, no wondering when the results will appear, no preoccupation with the spinning mind-numbing hurry-up-&-wait indicators.  As we’ve commonly found elsewhere, columnstore indexes here provided performance improvements of one, two, or more orders of magnitude. Simplified Infrastructure: Because in this case a nonclustered columnstore index on a conventional DW table was faster than an Analysis Services cube, the entire SSAS infrastructure was rendered superfluous & was retired. PASS Rocks: Once again, the value of attending PASS is proven out. The trip to Charlotte combined with eager & enquiring minds let directly to this success story. Find out more about the next PASS Summit here, hosted this year in Seattle on November 4 - 7, 2014. DevCon BI Team Lead Nathan Allan provided this unsolicited feedback: “What we found was pretty awesome. It has been a game changer for us in terms of the flexibility we can offer people that would like to get to the data in different ways.” Summary For DW, reports, & other BI workloads, columnstore often provides significant performance enhancements relative to conventional indexing.  I have documented here, the second in a series of reports on columnstore implementations, results from DevCon Security, a live customer production app for which performance increased by factors of from 10x to 100x for all report queries, including canned queries as well as reducing time for results for ad hoc queries from 5 - 7 minutes to 1 - 2 seconds. As a result of columnstore performance, the customer retired their SSAS infrastructure. I invite you to consider leveraging columnstore in your own environment. Let me know if you have any questions.

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  • Microsoft SDE Interview vs Microsoft SDET Interview and Resources to Study

    - by vinayvasyani
    I have always heard that SDE interviews are much harder to crack than SDET. Is it really true? I have also heard that if candidate doesnt do well in SDE interview he is also sometimes offered SDET position. How much truth is there into these talks? I would highly appreciate if someone would put good resources and guidelines for how to prepare for Microsoft interviews..which books to read, which notes, online programming questions websites, etc. Give as much info as possible. Thanks in advance to everyone for your valuable help and contribution.

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  • Study: Security Lags in Datacenter Virtualization Projects

    Datacenter virtualization projects can open up security issues, according to research from Gartner....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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  • Any online network topology to study?

    - by Gok Demir
    I want to study network. But I don't have an access to a sample network (routers, DNS, IP4, IP6 windows linux mixed heterogenous system). Do you know any online network to study (Free as possible). Is it possible to simulate network topologies with a sing PC using virtual machine. If so could you guide me?

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  • Which techniques to study?

    - by Djentleman
    Just to give you some background info, I'm studying a programming major at a tertiary level and am in my third year, so I'm not a newbie off the street. However, I am still quite new to game programming as a subset of programming. One of my personal projects for next semester is to design and create a 2D platformer game with emphasis on procedural generation and "neato" effects (think metroidvania). I've written up a list of some techniques to help me improve my personal skills (using XNA for the time being). The list is as follows: QuadTrees: Build a basic program in XNA that moves basic 2D sprites (circles and squares) around a set path and speed and changes their colour when they collide. Add functionality to add and delete objects of different sizes (select a direction and speed when adding and just drag and drop them in). Particles: Build a basic program in XNA in which you can select different colours and create particle effects of those colours on screen by clicking and dragging the mouse around (simple particles emerging from where the mouse is clicked). Add functionality where you can change the amount of particles to be drawn and the speed at which they travel and when they expire. Possibly implement gravity and wind after part 3 is complete. Physics: Build a basic program in XNA where you have a ball in a set 2D environment, a wind slider, and a gravity slider (can go to negative for reverse gravity). You can click to drag the ball around and release to throw it and, depending on what you do, the ball interacts with the environment. Implement other shapes afterwards. Random 2D terrain generation: Build a basic program in XNA that randomly generates terrain (including hills, caves, etc) created from 2D tiles. Add functionality that draws the tiles from a tileset and places different tiles depending on where they lie on the y-axis (dirt on top, then rock, then lava, etc). Randomised objects: Build a basic program in XNA that, when a button is clicked, displays a randomised item sprite based on parameters (type, colour, etc) with the images pulled from tilesets. Add the ability to save the item as an object, which stores it in a side-pane where it can be selected for viewing. Movement: Build a basic program in XNA where you can move an object around in an environment (tile-based) with a camera that pans with it. No gravity. Implement gravity and wind, allow the character to jump and fall with some basic platforms. So my question is this: Are there any other commonly used techniques that I should research, and can I get some suggestions as to the effectiveness of the techniques I've chosen to work on (e.g., don't do QuadTree stuff because [insert reason here], or, do [insert technique here] before you start working on particles because [insert reason here])? I hope this is clear enough and please let me know if I can further clarify anything!

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  • Case Study: Polystar Improves Telecom Networks Performance with Embedded MySQL

    - by Bertrand Matthelié
    Polystar delivers and supports systems that increase the quality, revenue and customer satisfaction of telecommunication services. Headquarted in Sweden, Polystar helps operators worldwide including Telia, Tele2, Telekom Malysia and T-Mobile to monitor their network performance and improve service levels. Challenges Deliver complete turnkey solutions to customers integrating a database ensuring high performance at scale, while being very easy to use, manage and optimize. Enable the implementation of distributed architectures including one database per server while maintaining a low Total Cost of Ownership (TCO). Avoid growing database complexity as the volume of mobile data to monitor and analyze drastically increases. Solution Evaluation of several databases and selection of MySQL based on its high performance, manageability, and low TCO. The MySQL databases implemented within the Polystar solutions handle on average 3,000 to 5,000 transactions per second. Up to 50 million records are inserted every day in each database. Typical installations include between 50 and 100 MySQL databases, up to 300 for the largest ones. Data is then periodically aggregated, with the original records being overwritten, as the need for detailed information becomes unnecessary to operators after a few weeks. The exponential growth in mobile data traffic driven by the proliferation of smartphones and usage of social media requires ever more powerful solutions to monitor, analyze and turn network data into actionable business intelligence. With MySQL, Polystar can deliver powerful, yet easy to manage, solutions to its customers. MySQL-based Polystar solutions enable operators to monitor, manage and improve the service levels of their telecom networks in over a dozen countries from a single location. The new and innovative MySQL features constantly delivered by Oracle help ensure Polystar that it will be able to meet its customer’s needs as they evolve. “MySQL has been a great embedded database choice for us. It delivers the high performance we need while remaining very easy to use, manage and tune. Power and simplicity at its best.” Mats Söderlindh, COO at Polystar.

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  • Business Strategy - Google Case Study

    Business strategy defined by SMBTN.com is a term used in business planning that implies a careful selection and application of resources to obtain a competitive advantage in anticipation of future events or trends. In more general terms business strategy is positioning a company so that it has the greatest competitive advantage over others in the markets and industries that they participate in. This process involves making corporate decisions regarding which markets to provide goods and services, pricing, acceptable quality levels, and how to interact with others in the marketplace. The primary objective of business strategy is to create and increase value for all of its shareholders and stakeholders through the creation of customer value. According to InformationWeek.com, Google has a distinctive technology advantage over its competitors like Microsoft, eBay, Amazon, Yahoo. Google utilizes custom high-performance systems which are cost efficient because they can scale to extreme workloads. This hardware allows for a huge cost advantage over its competitors. In addition, InformationWeek.com interviewed Stephen Arnold who stated that Google’s programmers are 50%-100% more productive compared to programmers working for their competitors.  He based this theory on Google’s competitors having to spend up to four times as much just to keep up. In addition to Google’s technological advantage, they also have developed a decentralized management schema where employees report directly to multiple managers and team project leaders. This allows for the responsibility of the technology department to be shared amongst multiple senior level engineers and removes the need for a singular department head to oversee the activities of the department.  This is a unique approach from the standard management style. Typically a department head like a CIO or CTO would oversee the department’s global initiatives and business functionality.  This would then be passed down and administered through middle management and implemented by programmers, business analyst, network administrators and Database administrators. It goes without saying that an IT professional’s responsibilities would be directed by Google’s technological advantage and management strategy.  Simply because they work within the department, and would have to design, develop, and support the high-performance systems and would have to report multiple managers and project leaders on a regular basis. Since Google was established and driven by new and immerging technology, all other departments would be directly impacted by the technology department.  In fact, they would have to cater to the technology department since it is a huge driving for in the success of Google. Reference: http://www.smbtn.com/smallbusinessdictionary/#b http://www.informationweek.com/news/software/linux/showArticle.jhtml?articleID=192300292&pgno=1&queryText=&isPrev=

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  • Week in Geek: Study finds Men more Likely to Fall for Facebook Scams

    - by Asian Angel
    This week we learned how to “read Blue Screen codes, clean your computer, & get started with scripting”, upgrade or install Mac OS X Lion on a Hackintosh using UniBeast, use Amazon’s barcode scanner to easily buy anything from your phone, had fun with a great set of geeky do-it-yourself projects for pets, got introduced to How-To Geek’s new Google+ account, and more. Photo by mac_filko. Use Amazon’s Barcode Scanner to Easily Buy Anything from Your Phone How To Migrate Windows 7 to a Solid State Drive Follow How-To Geek on Google+

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  • Columnstore Case Study #1: MSIT SONAR Aggregations

    - by aspiringgeek
    Preamble This is the first in a series of posts documenting big wins encountered using columnstore indexes in SQL Server 2012 & 2014.  Many of these can be found in this deck along with details such as internals, best practices, caveats, etc.  The purpose of sharing the case studies in this context is to provide an easy-to-consume quick-reference alternative. Why Columnstore? If we’re looking for a subset of columns from one or a few rows, given the right indexes, SQL Server can do a superlative job of providing an answer. If we’re asking a question which by design needs to hit lots of rows—DW, reporting, aggregations, grouping, scans, etc., SQL Server has never had a good mechanism—until columnstore. Columnstore indexes were introduced in SQL Server 2012. However, they're still largely unknown. Some adoption blockers existed; yet columnstore was nonetheless a game changer for many apps.  In SQL Server 2014, potential blockers have been largely removed & they're going to profoundly change the way we interact with our data.  The purpose of this series is to share the performance benefits of columnstore & documenting columnstore is a compelling reason to upgrade to SQL Server 2014. App: MSIT SONAR Aggregations At MSIT, performance & configuration data is captured by SCOM. We archive much of the data in a partitioned data warehouse table in SQL Server 2012 for reporting via an application called SONAR.  By definition, this is a primary use case for columnstore—report queries requiring aggregation over large numbers of rows.  New data is refreshed each night by an automated table partitioning mechanism—a best practices scenario for columnstore. The Win Compared to performance using classic indexing which resulted in the expected query plan selection including partition elimination vs. SQL Server 2012 nonclustered columnstore, query performance increased significantly.  Logical reads were reduced by over a factor of 50; both CPU & duration improved by factors of 20 or more.  Other than creating the columnstore index, no special modifications or tweaks to the app or databases schema were necessary to achieve the performance improvements.  Existing nonclustered indexes were rendered superfluous & were deleted, thus mitigating maintenance challenges such as defragging as well as conserving disk capacity. Details The table provides the raw data & summarizes the performance deltas. Logical Reads (8K pages) CPU (ms) Durn (ms) Columnstore 160,323 20,360 9,786 Conventional Table & Indexes 9,053,423 549,608 193,903 ? x56 x27 x20 The charts provide additional perspective of this data.  "Conventional vs. Columnstore Metrics" document the raw data.  Note on this linear display the magnitude of the conventional index performance vs. columnstore.  The “Metrics (?)” chart expresses these values as a ratio. Summary For DW, reports, & other BI workloads, columnstore often provides significant performance enhancements relative to conventional indexing.  I have documented here, the first in a series of reports on columnstore implementations, results from an initial implementation at MSIT in which logical reads were reduced by over a factor of 50; both CPU & duration improved by factors of 20 or more.  Subsequent features in this series document performance enhancements that are even more significant. 

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  • New study shows supply chain cost management increased from 6.0% to 6.9%

    - by John Murphy
    A global survey of supply chain managers indicates that aggressively managing costs and creating a flexible supply chain are major factors for businesses in successfully growing market share as the economy rebounds. Results also show supply chain managers are investing in systems and developing partnerships that enable greater visibility with their supply chain partners. http://www.mhia.org/news/industry/11429/flexible-supply-chains-drive-growth-in-revenue-and-profit

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  • A plan to study ASP.NET + C# + SQL + SQL Server [closed]

    - by ali saleem
    Possible Duplicates: Should I be a professional in C# programming in order to build good web applications using ASP.NET? Is there a combination of language and database that is both great to use and free/cheap? C# for web development? or C# as general purpose programming? ASP.NET MVC book for absolute beginners Will it cost me a lot if I chose ASP.NET and IIS? Is it possible to use MySQL in ASP.NET? Best books to start with ASP.NET MVC / C# and Visual Studio Is it enough for me to learn the above technologies to become a professional web developer? If so then how can I learn them? together or to start with C# for example at first? If there is another thing I should learn please tell me about it.

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  • Eliminating Downtime During Database Upgrades: A Customer Case Study

    - by irem.radzik(at)oracle.com
    Planned outages, such as database, OS, hardware upgrades and migrations, are a fact of life. Even though they are "planned" and many of them are performed during "off business hours", they can still interrupt operations-- especially for global operations and online businesses. For this reason many IT organizations postpone these critical infrastructure improvement projects, which in turn result in delays in advancing business operations. This week, on Thursday January 13th, we will host a free webcast on this topic, and will feature Oracle GoldenGate's customer Atmos Energy. Atmos Energy implemented Oracle GoldenGate for eliminating downtime during their database upgrade from Oracle Database 8.1.7 to Oracle Database 11.1.0.7. Jos Francis, Lead DBA for Atmos, and Ronald Nedd, Sr. DBA for Atmos, will be presenting their database upgrade project and their solution architecture. Join us at this live webcast and hear from our customer and product management how to eliminate planned outages with Oracle GoldenGate's real-time, heterogeneous data replication capabilities.

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  • How the SPARC T4 Processor Optimizes Throughput Capacity: A Case Study

    - by Ruud
    This white paper demonstrates the architected latency hiding features of Oracle’s UltraSPARC T2+ and SPARC T4 processors That is the first sentence from this technical white paper, but what does it exactly mean? Let's consider a very simple example, the computation of a = b + c. This boils down to the following (pseudo-assembler) instructions that need to be executed: load @b, r1 load @c, r2 add r1,r2,r3 store r3, @a The first two instructions load variables b and c from an address in memory (here symbolized by @b and @c respectively). These values go into registers r1 and r2. The third instruction adds the values in r1 and r2. The result goes into register r3. The fourth instruction stores the contents of r3 into the memory address symbolized by @a. If we're lucky, both b and c are in a nearby cache and the load instructions only take a few processor cycles to execute. That is the good case, but what if b or c, or both, have to come from very far away? Perhaps both of them are in the main memory and then it easily takes hundreds of cycles for the values to arrive in the registers. Meanwhile the processor is doing nothing and simply waits for the data to arrive. Actually, it does something. It burns cycles while waiting. That is a waste of time and energy. Why not use these cycles to execute instructions from another application or thread in case of a parallel program? That is exactly what latency hiding on the SPARC T-Series processors does. It is a hardware feature totally transparent to the user and application. As soon as there is a delay in the execution, the hardware uses these otherwise idle cycles to execute instructions from another process. As a result, the throughput capacity of the system improves because idle cycles are no longer wasted and therefore more jobs can be run per unit of time. This feature has been in the SPARC T-series from the beginning, so why this paper? The difference with previous publications on this topic is in the amount of detail given. How this all works under the hood is fully explained using two example programs. Starting from the assembly language instructions, it is demonstrated in what way these programs execute. To really see what is happening we go down to the processor pipeline level, where the gaps in the execution are, and show in what way these idle cycles are filled by other copies of the same program running simultaneously. Both the SPARC T4 as well as the older UltraSPARC T2+ processor are covered. You may wonder why the UltraSPARC T2+ is included. The focus of this work is on the SPARC T4 processor, but to explain the basic concept of latency hiding at this very low level, we start with the UltraSPARC T2+ processor because it is architecturally a much simpler design. From the single issue, in-order pipelines of this processor we then shift gears and cover how this all works on the much more advanced dual issue, out-of-order architecture of the T4. The analysis and performance experiments have been conducted on both processors. The results depend on the processor, but in all cases the theoretical estimates are confirmed by the experiments. If you're interested to read a lot more about this and find out how things really work under the hood, you can download a copy of the paper here. A paper like this could not have been produced without the help of several other people. I want to thank the co-author of this paper, Jared Smolens, for his very valuable contributions and our highly inspiring discussions. I'm also indebted to Thomas Nau (Ulm University, Germany), Shane Sigler and Mark Woodyard (both at Oracle) for their feedback on earlier versions of this paper. Karen Perkins (Perkins Technical Writing and Editing) and Rick Ramsey at Oracle were very helpful in providing editorial and publishing assistance.

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