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• The results are in: I'm an okay speaker.

  - by AaronBertrand

  Last weekend I spoke at SQL Saturday #60 in Cleveland, Ohio. I had a great time catching up with some existing friends and colleagues, and met a bunch of new people too. I presented two sessions: What's New in Denali, and T-SQL: Bad Habits to Kick. Yesterday the organizers passed along the scanned-in speaker evaluations (this was the first SQL Saturday event where I found folks to be quite motivated to fill out the forms, since it was how they drew the door prizes). And being the ADD person I am,...(read more)

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• Basics of XML and SQL Server, Part 4: Create an XML invoice with SSIS

  This article demonstrates how to build an SSIS package that generates an XML invoice document from data stored in SQL Server and saves it to an XML file. What are your servers really trying to tell you? Find out with new SQL Monitor 3.0, an easy-to-use tool built for no-nonsense database professionals.For effortless insights into SQL Server, download a free trial today.

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• Google Places référence les services de proximité, visites virtuelles des magasins et géo-localisati

  Google Places lance le référencement des services de proximité Et intègre la visite virtuelle des magasins et la géo-localisation des clients à Google Maps Le service local Business Center fait peau neuve est tout cela commence par un changement de nom : Google Places. Surfant sur la vague de l'optimisation du référencement des services géo-localisés en fonction de la position de l'internaute, Google innove en ajoutant des options à son service. Les nouvelles fonctionnalités annoncées : ? De nouvelles informations sur votre page ? Des outils de suivis comme Analytics afin que vous puissiez connaitre par quel moyen ou quel pa...

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• SQL Saturday #157 - San Diego

  Southern California isn't all beach time. SQL Saturday comes to San Diego on Sept 15, 2012. Join fellow SQL Server pros for a day of learning. Learn Agile Database Development Best PracticesAgile database development experts Sebastian Meine and Dennis Lloyd are running day-long classes designed to complement Red Gate’s SQL in the City US tour. Classes will be held in San Francisco, Chicago, Boston and Seattle. Register Now.

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• SQL Server Ranking Functions

  A new article from Wayne Sheffield that examines the ranking functions in SQL Server. Learn how you can use ROW_NUMBER(), NTILE(), RANK(), and DENSE_RANK() in your applications. 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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• Fraud Detection with the SQL Server Suite Part 1

  - by Dejan Sarka

  While working on different fraud detection projects, I developed my own approach to the solution for this problem. In my PASS Summit 2013 session I am introducing this approach. I also wrote a whitepaper on the same topic, which was generously reviewed by my friend Matija Lah. In order to spread this knowledge faster, I am starting a series of blog posts which will at the end make the whole whitepaper. Abstract With the massive usage of credit cards and web applications for banking and payment processing, the number of fraudulent transactions is growing rapidly and on a global scale. Several fraud detection algorithms are available within a variety of different products. In this paper, we focus on using the Microsoft SQL Server suite for this purpose. In addition, we will explain our original approach to solving the problem by introducing a continuous learning procedure. Our preferred type of service is mentoring; it allows us to perform the work and consulting together with transferring the knowledge onto the customer, thus making it possible for a customer to continue to learn independently. This paper is based on practical experience with different projects covering online banking and credit card usage. Introduction A fraud is a criminal or deceptive activity with the intention of achieving financial or some other gain. Fraud can appear in multiple business areas. You can find a detailed overview of the business domains where fraud can take place in Sahin Y., & Duman E. (2011), Detecting Credit Card Fraud by Decision Trees and Support Vector Machines, Proceedings of the International MultiConference of Engineers and Computer Scientists 2011 Vol 1. Hong Kong: IMECS. Dealing with frauds includes fraud prevention and fraud detection. Fraud prevention is a proactive mechanism, which tries to disable frauds by using previous knowledge. Fraud detection is a reactive mechanism with the goal of detecting suspicious behavior when a fraudster surpasses the fraud prevention mechanism. A fraud detection mechanism checks every transaction and assigns a weight in terms of probability between 0 and 1 that represents a score for evaluating whether a transaction is fraudulent or not. A fraud detection mechanism cannot detect frauds with a probability of 100%; therefore, manual transaction checking must also be available. With fraud detection, this manual part can focus on the most suspicious transactions. This way, an unchanged number of supervisors can detect significantly more frauds than could be achieved with traditional methods of selecting which transactions to check, for example with random sampling. There are two principal data mining techniques available both in general data mining as well as in specific fraud detection techniques: supervised or directed and unsupervised or undirected. Supervised techniques or data mining models use previous knowledge. Typically, existing transactions are marked with a flag denoting whether a particular transaction is fraudulent or not. Customers at some point in time do report frauds, and the transactional system should be capable of accepting such a flag. Supervised data mining algorithms try to explain the value of this flag by using different input variables. When the patterns and rules that lead to frauds are learned through the model training process, they can be used for prediction of the fraud flag on new incoming transactions. Unsupervised techniques analyze data without prior knowledge, without the fraud flag; they try to find transactions which do not resemble other transactions, i.e. outliers. In both cases, there should be more frauds in the data set selected for checking by using the data mining knowledge compared to selecting the data set with simpler methods; this is known as the lift of a model. Typically, we compare the lift with random sampling. The supervised methods typically give a much better lift than the unsupervised ones. However, we must use the unsupervised ones when we do not have any previous knowledge. Furthermore, unsupervised methods are useful for controlling whether the supervised models are still efficient. Accuracy of the predictions drops over time. Patterns of credit card usage, for example, change over time. In addition, fraudsters continuously learn as well. Therefore, it is important to check the efficiency of the predictive models with the undirected ones. When the difference between the lift of the supervised models and the lift of the unsupervised models drops, it is time to refine the supervised models. However, the unsupervised models can become obsolete as well. It is also important to measure the overall efficiency of both, supervised and unsupervised models, over time. We can compare the number of predicted frauds with the total number of frauds that include predicted and reported occurrences. For measuring behavior across time, specific analytical databases called data warehouses (DW) and on-line analytical processing (OLAP) systems can be employed. By controlling the supervised models with unsupervised ones and by using an OLAP system or DW reports to control both, a continuous learning infrastructure can be established. There are many difficulties in developing a fraud detection system. As has already been mentioned, fraudsters continuously learn, and the patterns change. The exchange of experiences and ideas can be very limited due to privacy concerns. In addition, both data sets and results might be censored, as the companies generally do not want to publically expose actual fraudulent behaviors. Therefore it can be quite difficult if not impossible to cross-evaluate the models using data from different companies and different business areas. This fact stresses the importance of continuous learning even more. Finally, the number of frauds in the total number of transactions is small, typically much less than 1% of transactions is fraudulent. Some predictive data mining algorithms do not give good results when the target state is represented with a very low frequency. Data preparation techniques like oversampling and undersampling can help overcome the shortcomings of many algorithms. SQL Server suite includes all of the software required to create, deploy any maintain a fraud detection infrastructure. The Database Engine is the relational database management system (RDBMS), which supports all activity needed for data preparation and for data warehouses. SQL Server Analysis Services (SSAS) supports OLAP and data mining (in version 2012, you need to install SSAS in multidimensional and data mining mode; this was the only mode in previous versions of SSAS, while SSAS 2012 also supports the tabular mode, which does not include data mining). Additional products from the suite can be useful as well. SQL Server Integration Services (SSIS) is a tool for developing extract transform–load (ETL) applications. SSIS is typically used for loading a DW, and in addition, it can use SSAS data mining models for building intelligent data flows. SQL Server Reporting Services (SSRS) is useful for presenting the results in a variety of reports. Data Quality Services (DQS) mitigate the occasional data cleansing process by maintaining a knowledge base. Master Data Services is an application that helps companies maintaining a central, authoritative source of their master data, i.e. the most important data to any organization. For an overview of the SQL Server business intelligence (BI) part of the suite that includes Database Engine, SSAS and SSRS, please refer to Veerman E., Lachev T., & Sarka D. (2009). MCTS Self-Paced Training Kit (Exam 70-448): Microsoft® SQL Server® 2008 Business Intelligence Development and Maintenance. MS Press. For an overview of the enterprise information management (EIM) part that includes SSIS, DQS and MDS, please refer to Sarka D., Lah M., & Jerkic G. (2012). Training Kit (Exam 70-463): Implementing a Data Warehouse with Microsoft® SQL Server® 2012. O'Reilly. For details about SSAS data mining, please refer to MacLennan J., Tang Z., & Crivat B. (2009). Data Mining with Microsoft SQL Server 2008. Wiley. SQL Server Data Mining Add-ins for Office, a free download for Office versions 2007, 2010 and 2013, bring the power of data mining to Excel, enabling advanced analytics in Excel. Together with PowerPivot for Excel, which is also freely downloadable and can be used in Excel 2010, is already included in Excel 2013. It brings OLAP functionalities directly into Excel, making it possible for an advanced analyst to build a complete learning infrastructure using a familiar tool. This way, many more people, including employees in subsidiaries, can contribute to the learning process by examining local transactions and quickly identifying new patterns.

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• SQL Sentry Truth-Telling and Disk Configuration

  - by AjarnMark

  Recently, SQL Sentry told me something about my SQL Server disk configurations that I just didn’t want to believe, but alas, it was true. Several days ago I posted my First Impressions of the SQL Sentry Power Suite.  Today’s post could fall into the category of, “Hey, as long as you have that fancy tool…”  Unfortunately, it also falls into the category of an overloaded worker taking someone else’s word for the truth, not verifying it with independent fact-checking, and then making decisions based on that.  Here’s my story… I’m not exactly an Accidental DBA (or Involuntary DBA as Paul Randal calls it).  I came to this company five years ago as a lead application developer with extensive experience in database design and development.  I worked my way into management, and along the way, took over the DBA responsibilities.  Fortunately, our systems run pretty smoothly most of the time, but I’m always looking for ways to make them better and to fit into my understanding of best practices.  When I took over as DBA, I inherited a SQL 2000 server with about 30 databases on it supporting our main systems, and a SQL 2005 server with multiple instances.  Both of these servers were configured with the Operating System and Application files on the C drive, data files on a different drive letter, and log files on a third drive letter.  Even before I took over as DBA, I verified that this was true with a previous server administrator, and that these represented actual separate disks.  He stated that they did, and I thought that all was well. Then one day, I’m poking around inside the SQL Sentry Performance Advisor, checking out features as I am evaluating whether to purchase the product, and I come across a Disk Configuration section.  The first thing I notice is that the drives do not have the proper partition offset, which was not at all surprising to me given the age of the installation and the relative newness of that topic.  But what threw me for a loop was that the graphic display appeared to be telling me that I did not in fact have three separate drives (or arrays) but rather had two, and that the log files were merely on a separate volume on the same physical array as the OS.  I figured that I must be reading it wrong so I scanned the Help file, but that just seemed to confirm my interpretation.  Then I thought, “there must be something wrong with the demo version of the software!  This can’t be right!”  But just to double-check, I went to our current server admin to talk it over with him, and sure enough, SQL Sentry was telling the truth! I was stunned!  I quickly went through the grieving process…denial…anger…reconciliation.  Here was something that I thought was such a basic truth that was turned upside down.  OK, granted, this wasn’t disastrous.  Our databases didn’t suddenly grind to a halt.  I didn’t get calls late at night inquiring about the sudden downturn in performance.  But it was a bit of a shock to the system, in a good way, to jolt me out of taking what I had believed as the truth for granted, and instead to Trust, but Verify! Yes, before someone else points it out, I know that there are”free” disk management tools built-in to Windows that would have told me the same thing if I had only looked at them; I did not have to buy a fancy tool to tell me that, but the fact is, until I was evaluating the tool, I had just gone with what I was told, and never bothered to check what was actually there. So, what things do you believe to be true but you actually never verified?

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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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• Should I rely on externally-hosted services?

  - by Mattis

  I am wondering over the dangers / difficulties in using external services like Google Chart in my production state website. With external services I mean them that you can't download and host on your own server. (-) Potentially the Google service can be down when my site is up. (+) I don't have to develop those particular systems for new browser technologies, hopefully Google will do that for me. (-) Extra latency while my site fetch the data from the google servers. What else? Is it worth spending time and money to develop my own systems to be more in control of things?

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• Five things SSIS should drop

  - by jamiet

  There’s a current SQL Server meme going round entitled Five things SQL Server should drop and, whilst no-one tagged me to write anything, I couldn’t resist doing the same for SQL Server Integration Services. So, without further ado, here are five things that I think should be dropped from SSIS.Data source connectionsSeriously, does anyone use these? I know why they’re there. Someone sat in a meeting back in the early part of the last decade and said “Ooo, Reporting Services and Analysis Services have these things called Data Sources. If we used them in Integration Services then we’d have a really cool integration story.” Errr….no.Web Service TaskDitto. If you want to do anything useful against anything but the simplest of SOAP web services steer well clear of this peculiar SSIS additionActiveX Script TaskAnother task that I suspect has never seen the light of day in a SSIS package. It was billed as a way of running upgraded DTS2000 ActiveX scripts in SSIS – sounds good except for one thing. Anytime one of those scripts would try to talk to the DTS object model (which they all do – otherwise what’s the point) then they will error out. This one has always been a real head scratcher.Slow Changing Dimension wizardI suspect I may get some push back on this one but I’m mentioning it anyway. Some people like the SCD wizard; I am not one of those people! Everything that the SCD component does can easily be reproduced using other components and from a performance point of view its much more beneficial to use those alternatives.Multifile Connection ManagerImagining buying a house that came with a set of keys that didn’t open any of the doors. Sounds ridiculous right? How about a SSIS Connection Manager that doesn’t get used by any of the tasks or components. Ah, that’ll be the Multifile Connection Manager then!Comments are of course welcome. Diatribes are assumed :)@Jamiet Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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• Tagged: 5 things SQL Server should drop

  - by AaronBertrand

  I was tagged by Paul Randal ( blog | twitter ) last night in his latest blog post, entitled, " What 5 things should SQL Server get rid of? " His top 5 pretty much coincide with my top 5, so I'll have to dig a little deeper. In no particular order: Syntax inconsistencies This isn't really a specific thing that Microsoft should get rid of, but rather an attitude and overall approach to SQL Server's long-term development. Every time they add a feature or option to SQL Server, it seems to be implemented...(read more)

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• TechEd 2010 Day Two – No SQL Server in Sight

  - by BuckWoody

  Today I worked the booth at TechEd 2010, manning the new “Surface” computer, which is just the coolest object on the planet. After that I didn’t attend a single SQL Server session – instead I’ve been frequenting SharePoint, Microsoft Office, and even the High-Performance Computing sessions. The reason is that I get really high quality SQL Server presentations at PASS, SQL Saturdays, and online from Microsoft and other vendors. While there are SQL Server sessions here (after all, I’m giving one of them!) I tend to try and see things that I don’t normally get to learn about. And the cross-pollination between those technologies and mine is fantastic.     I’ve even managed to go to an Entity Framework presentation for the developers. I actually have (a little) more respect for that technology – and I’ve modified my presentation to encompass more of that information. So whenever you have the chance, take a walk outside your comfort zone. Even at PASS and SQL Saturdays (and certainly online) you can investigate technologies other than the ones you know best.  Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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• Issue with Reporting Services - rsreportserver.config is denied

  - by Gabe

  Error message is 'd:\Program Files\Microsoft SQL Server\MSSQL.3\Reporting Services\ReportServer\RSReportServer.config' is denied.' I open SSRS configuration and I do see the service as started and running. I gave Network Services the necessary permissions in the reportserver folder and config file. SQL Server and SSRS are using LocalSystem as the 'Log On As' in Sql server configuration manager. Most of my sites I googled seem only relevant when it's Network Service running. I changed it to log on as NT Autority\NetworkService but still had the same issue. In SSRS Config Manager, I see that Web Service Identity is not configured (red), though it is showing as readonly domain\aspnet. Windows Server 2003 R2 and SSRS 2005

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• SQLRally Nordic gets underway

  - by Rob Farley

  PASS is becoming more international, which is great. The SQL Community has always been international – it’s not as if data is only generated in North America. And while it’s easy for organisations to have a North American focus, PASS is taking steps to become international. Regular readers will be aware that I’m one of three advisors to the PASS Board of Directors, with a focus on developing PASS as a more global organisation. With this in mind, it’s great that today is Day 1 of SQLRally Nordic, being hosted in in Sweden – not only a non-American country, but one that doesn’t have English as its major language. The event has been hosted by the amazing Johan Åhlén and Raoul Illyés, two guys who I met earlier this year, but the thing that amazes me is the incredible support that this event has from the SQL Community. It’s been sold out for a long time, and when you see the list of speakers, it’s not surprising. Some of the industry’s biggest names from Microsoft have turned up, including Mark Souza (who is also a PASS Director), Thomas Kejser and Tobias Thernström. Business Intelligence experts such as Jen Stirrup, Chris Webb, Peter Myers, Marco Russo and Alberto Ferrari are there, as are some of the most awarded SQL MVPs such as Itzik Ben-Gan, Aaron Bertrand and Kevin Kline. The sponsor list is also brilliant, with names such as HP, FusionIO, SQL Sentry, Quest and SolidQ complimented by Swedish companies like Cornerstone, Informator, B3IT and Addskills. As someone who is interested in PASS becoming global, I’m really excited to see this event happening, and I hope it’s a launch-pad into many other international events hosted by the SQL community. If you have the opportunity, thank Johan and Raoul for putting this event on, and the speakers and sponsors for helping support it. The noise from Twitter is that everything is going fantastically well, and everyone involved should be thoroughly congratulated! @rob_farley

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• How to find unused Stored Procedures in SQL Server 2005/2008

  Use dynamic PivotTables to identify unused Stored Procedures in a SQL Server 2005/2008 database

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• TechEd 2010 Followup

  - by AllenMWhite

  Last week I presented a couple of sessions at Tech Ed NA in New Orleans. It was a great experience, even though my demos didn't always work out as planned. Here are the sessions I presented: DAT01-INT Administrative Demo-Fest for SQL Server 2008 SQL Server 2008 provides a wealth of features aimed at the DBA. In this demofest of features we'll see ways to make administering SQL Server easier and faster such as Centralized Data Management, Performance Data Warehouse, Resource Governor, Backup Compression...(read more)

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• Oracle Standard Installation (OSI) Services – Service für Hardware-Upgrades

  - by swalker

  In diesem Update erfahren Sie alles über die Services der Oracle Standard Installation (OSI) von Oracle Advanced Customer Support (ACS). Oracle imformiert Sie außerdem über die Einführung weiterer OSI-Teile für die Bestellung von Komplettservices zur Installation von Upgrades bei bereits installierten Systemen. Darunter fallen auch zusätzliche Upgrades für Serverprozessoren (CPUs), Arbeitsspeicher, Netzwerkkarten, Speicher-Appliances und Bandbibliotheken. Die OSI Installationsservices für Hardware-Upgrades können wie folgt bestellt werden: beim Hardware Point of Sale (POS) – über den Offline-Prozess für Hardware im Oracle PartnerNetwork (OPN) unabhängige Bestellungen „After Point of Sale (APOS)“ – über den Offline-OSI-Prozess des ACS Services Order Desk. Diese Prozesse sowie die aktualisierten Dateien für die OSI-Teilezuordnung finden Sie auf der Website des Oracle Partner Stores (OPS). Die OSI-Teile für Hardware-Upgrades können im OPS ab Ende 2011 bestellt werden. Wenn Sie Fragen zu diesem Update haben, wenden Sie sich an das Global Partner Support Team unter [email protected].

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• FileStream and FileTable in SQL Server 2012

  SQL Server 2012 enhanced the SQL Server 2008 FileStream data type by introducing FileTable, which lets an application integrate its storage and data management components to allow non-transactional access, and provide integrated SQL Server services. Arshad Ali explains how. Top 5 hard-earned lessons of a DBAIn part one, read about ‘The Case of the Missing Index’ and learn from the experience of The DBA Team. Read now.

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• SQL Down Under Show 51 - Guest Conor Cunningham - Now online

  - by Greg Low

  Late last night I got to record an interview with Conor Cunningham.Most people that know Conor have come across him as the product team wizard that knows so much about query processing and optimization in SQL Server. Conor is currently spending quite a lot of time working on Windows Azure SQL Database, which we used to know as SQL Azure. I'm still trying to think of a good way to say "WASD". I suppose I'll pronounce it like "wassid". Windows Azure SQL Reporting is easier. I think it just needs to be pronounced like "wazza" with a very Australian accent.In the show, we've spent time on the current state of the platform, on dispelling a number of common misbeliefs about the product, and hopefully on answering most of the common questions that seem to get asked about it. We then ventured into Federations, Data Sync, and Reporting.You'll find the show (and previous shows) here: http://www.sqldownunder.com/Resources/Podcast.aspxEnjoy!PS: For those that like transcripts, we've got the process for producing them much improved now and the transcript should also be up within a few days.

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• The Team Behind SQL Saturday 60 In Cleveland

  - by AllenMWhite

  Last July I asked the assembled group at the Ohio North SQL Server Users Group meeting if they'd be interested in putting on a SQL Saturday. Enthusiastically, they said yes! A great group of people came together and met, first monthly, then every other week, and finally every week, taking time from their families to do the things necessary to put together a SQL Saturday event here in Cleveland. Their work has been amazing and any of you attending our event will see what a great job they've all done....(read more)

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• Complex Event Processing and SQL in London next week

  - by simonsabin

  Don’t forget that we have the Stream Insight team coming to London and will be presenting at a SQL Social event on the 9th June. Stream Insight is one of the exciting new features in SQL Server 2008 R2. There are numerous uses of Stream Insight one being Algorithmic Trading an exciting topic in the banking sector. For details of what Stream Insight is go to the teams blog http://blogs.msdn.com/streaminsight/archive/2010/04/22/rtm.aspx and follow some of the links. For more details of the SQL Social...(read more)

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• SQL Saturday #323 - Paris

  On September 13, 2014 the French SQL Server Community (GUSS) will be holding a SQL Saturday conference. The event is free to attend, with 4 paid-for pre-conference sessions available. Register while space is available. FREE eBook – "45 Database Performance Tips for Developers"Improve your database performance with 45 tips from SQL Server MVPs and industry experts. Get the eBook here.

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• Web Apps vs Web Services: 302s and 401s are not always good Friends

  - by Your DisplayName here!

  It is not very uncommon to have web sites that have web UX and services content. The UX part maybe uses WS-Federation (or some other redirect based mechanism). That means whenever an authorization error occurs (401 status code), this is picked by the corresponding redirect module and turned into a redirect (302) to the login page. All is good. But in services, when you emit a 401, you typically want that status code to travel back to the client agent, so it can do error handling. These two approaches conflict. If you think (like me) that you should separate UX and services into separate apps, you don’t need to read on. Just do it ;) If you need to mix both mechanisms in a single app – here’s how I solved it for a project. I sub classed the redirect module – this was in my case the WIF WS-Federation HTTP module and modified the OnAuthorizationFailed method. In there I check for a special HttpContext item, and if that is present, I suppress the redirect. Otherwise everything works as normal: class ServiceAwareWSFederationAuthenticationModule : WSFederationAuthenticationModule {     protected override void OnAuthorizationFailed(AuthorizationFailedEventArgs e)     {         base.OnAuthorizationFailed(e);         var isService = HttpContext.Current.Items[AdvertiseWcfInHttpPipelineBehavior.DefaultLabel];         if (isService != null)         {             e.RedirectToIdentityProvider = false;         }     } } Now the question is, how do you smuggle that value into the HttpContext. If it is a MVC based web service, that’s easy of course. In the case of WCF, one approach that worked for me was to set it in a service behavior (dispatch message inspector to be exact): public void BeforeSendReply( ref Message reply, object correlationState) {     if (HttpContext.Current != null)     {         HttpContext.Current.Items[DefaultLabel] = true;     } } HTH

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• Windows Azure Virtual Machine Readiness and Capacity Assessment for SQL Server

  - by SQLOS Team

  Windows Azure Virtual Machine Readiness and Capacity Assessment for Windows Server Machine Running SQL Server With the release of MAP Toolkit 8.0 Beta, we have added a new scenario to assess your Windows Azure Virtual Machine Readiness. The MAP 8.0 Beta performs a comprehensive assessment of Windows Servers running SQL Server to determine you level of readiness to migrate an on-premise physical or virtual machine to Windows Azure Virtual Machines. The MAP Toolkit then offers suggested changes to prepare the machines for migration, such as upgrading the operating system or SQL Server. MAP Toolkit 8.0 Beta is available for download here Your participation and feedback is very important to make the MAP Toolkit work better for you. We encourage you to participate in the beta program and provide your feedback at [email protected] or through one of our surveys. Now, let’s walk through the MAP Toolkit task for completing the Windows Azure Virtual Machine assessment and capacity planning. The tasks include the following: Perform an inventory View the Windows Azure VM Readiness results and report Collect performance data for determine VM sizing View the Windows Azure Capacity results and report Perform an inventory: 1. To perform an inventory against a single machine or across a complete environment, choose Perform an Inventory to launch the Inventory and Assessment Wizard as shown below: 2. After the Inventory and Assessment Wizard launches, select either the Windows computers or SQL Server scenario to inventory Windows machines. HINT: If you don’t care about completely inventorying a machine, just select the SQL Server scenario. Click Next to Continue. 3. On the Discovery Methods page, select how you want to discover computers and then click Next to continue. Description of Discovery Methods: Use Active Directory Domain Services -- This method allows you to query a domain controller via the Lightweight Directory Access Protocol (LDAP) and select computers in all or specific domains, containers, or OUs. Use this method if all computers and devices are in AD DS. Windows networking protocols --  This method uses the WIN32 LAN Manager application programming interfaces to query the Computer Browser service for computers in workgroups and Windows NT 4.0–based domains. If the computers on the network are not joined to an Active Directory domain, use only the Windows networking protocols option to find computers. System Center Configuration Manager (SCCM) -- This method enables you to inventory computers managed by System Center Configuration Manager (SCCM). You need to provide credentials to the System Center Configuration Manager server in order to inventory the managed computers. When you select this option, the MAP Toolkit will query SCCM for a list of computers and then MAP will connect to these computers. Scan an IP address range -- This method allows you to specify the starting address and ending address of an IP address range. The wizard will then scan all IP addresses in the range and inventory only those computers. Note: This option can perform poorly, if many IP addresses aren’t being used within the range. Manually enter computer names and credentials -- Use this method if you want to inventory a small number of specific computers. Import computer names from a files -- Using this method, you can create a text file with a list of computer names that will be inventoried. 4. On the All Computers Credentials page, enter the accounts that have administrator rights to connect to the discovered machines. This does not need to a domain account, but needs to be a local administrator. I have entered my domain account that is an administrator on my local machine. Click Next after one or more accounts have been added. NOTE: The MAP Toolkit primarily uses Windows Management Instrumentation (WMI) to collect hardware, device, and software information from the remote computers. In order for the MAP Toolkit to successfully connect and inventory computers in your environment, you have to configure your machines to inventory through WMI and also allow your firewall to enable remote access through WMI. The MAP Toolkit also requires remote registry access for certain assessments. In addition to enabling WMI, you need accounts with administrative privileges to access desktops and servers in your environment. 5. On the Credentials Order page, select the order in which want the MAP Toolkit to connect to the machine and SQL Server. Generally just accept the defaults and click Next. 6. On the Enter Computers Manually page, click Create to pull up at dialog to enter one or more computer names. 7. On the Summary page confirm your settings and then click Finish. After clicking Finish the inventory process will start, as shown below: Windows Azure Readiness results and report After the inventory progress has completed, you can review the results under the Database scenario. On the tile, you will see the number of Windows Server machine with SQL Server that were analyzed, the number of machines that are ready to move without changes and the number of machines that require further changes. If you click this Azure VM Readiness tile, you will see additional details and can generate the Windows Azure VM Readiness Report. After the report is generated, select View | Saved Reports and Proposals to view the location of the report. Open up WindowsAzureVMReadiness* report in Excel. On the Windows tab, you can see the results of the assessment. This report has a column for the Operating System and SQL Server assessment and provides a recommendation on how to resolve, if there a component is not supported. Collect Performance Data Launch the Performance Wizard to collect performance information for the Windows Server machines that you would like the MAP Toolkit to suggest a Windows Azure VM size for. Windows Azure Capacity results and report After the performance metrics are collected, the Azure VM Capacity title will display the number of Virtual Machine sizes that are suggested for the Windows Server and Linux machines that were analyzed. You can then click on the Azure VM Capacity tile to see the capacity details and generate the Windows Azure VM Capacity Report. Within this report, you can view the performance data that was collected and the Virtual Machine sizes.   MAP Toolkit 8.0 Beta is available for download here Your participation and feedback is very important to make the MAP Toolkit work better for you. We encourage you to participate in the beta program and provide your feedback at [email protected] or through one of our surveys. Useful References: Windows Azure Homepage How to guides for Windows Azure Virtual Machines Provisioning a SQL Server Virtual Machine on Windows Azure Windows Azure Pricing     Peter Saddow Senior Program Manager – MAP Toolkit Team

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• The Team Behind SQL Saturday 60 In Cleveland

  - by AllenMWhite

  Last July I asked the assembled group at the Ohio North SQL Server Users Group meeting if they'd be interested in putting on a SQL Saturday. Enthusiastically, they said yes! A great group of people came together and met, first monthly, then every other week, and finally every week, taking time from their families to do the things necessary to put together a SQL Saturday event here in Cleveland. Their work has been amazing and any of you attending our event will see what a great job they've all done....(read more)

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