SQL Server Query Store is a new feature introduced in SQL Server 2016 that is used to automatically and asynchronously capture query execution history, statistics and plans, with minimal impact to overall SQL Server Performance. The Query Store feature makes performance problem troubleshooting simple; you can view the query execution plans changes and compare its performance to decide which execution plan the SQL Server Query Optimizer should use for that query.
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We have all learned to love and hate the trusty Bike shop database. Almost every demo or presentation pertaining to SQL Server we do, we use the AdventureWorks sample database. Almost every code sample on books online references AdventureWorks for illustrations and practical explanations of a feature. When SQL Server 2005 was released Microsoft replaced the old Pubs & Northwind Sample databases with a more complete and more feature rich database called AdventureWorks. Ever since we have been using this new sample database for almost everything we want to test. Microsoft has now given us an even better sample database called WorldWideImporters, which utilises almost every SQL Server feature I can think of from Temporal Tables to In-Memory table.
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A few weeks back I had been working on an interesting proof of concept for a client within the food/grocery industry. The objectives were to be able to provide the client with information on sales patterns, seasonal trends and location profitability. In our previous “get-together” we discussed how to create a tabular model project and how to create efficient and effective reports utilizing Excel.
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SQL Server 2016 introduced officially on the 1st of June 2016. It comes with many new features such as Query Store that maintains the execution plans history for the queries with its performance data in order to detect any slowness in the query caused by the new plans, so that the administrator can force the use of the better old plan.
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SQL Server 2016 became publically available on the 1st of June 2016. Some might feel that a new SQL Server release every 2 years might be too frequent with many organization still lagging behind by running SQL Server 2012 or earlier.
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In this article, I continue to review the exciting features available in SQL Server 2016. One such feature is the long awaited T-SQL support for JSON formatted data. In this article we take a look at how JSON support will impact data warehouse solutions.
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With the release of Microsoft SQL Server 2016 a lot of new features were introduced, one of which was Temporal Tables, a feature that gives you the ability to view the state of your data at a given point in time. This means you can go back in time with your data. Another very popular feature is Stretch Databases which allows for remote archiving of data to Azure Stretch region.
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SQL Server 2016 includes a variety of query optimizer enhancements. Some of these have existed since the first previews while others were added later. This is an opportunity to discuss, test out, and validate the behavior and benefits of these changes!
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Microsoft SQL Server 2016 provides faster transactions and queries, deeper insights on any device, advanced analytics, new security technology, and new hybrid cloud scenarios. Along with these features, comes the new installation setup. Although it is similar to the installation of SQL Server 2014 and other older versions, there are few notable differences:
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SQL Server 2016 has some exciting enhancements to SQL Server Integration Services. In this article, we take a look at how the issue of single package deployment into an SSIS Catalog has been resolved with this SQL Server release.
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In this article, we will explain step by step how to connect remotely to a SQL Server Express instance. Remote access is the ability to get access to a SQL Server from a remote distance in order to manipulate data which are located on that SQL Server.
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On the last article about the best modes to move the disk-based tables to using the In-Memory feature we covered all the aspects and styles available on SQL Server 2014. Continuing on the migration process now we’re going to look at some of the new enhancements of makes SQL Server 2016
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As the time of the release of the next version of SQL Server is closing in, the cycle of Community Technical Preview (CTP) releases is shorter and shorter – we are now at CTP3 and the product seems very much mature for release. There is a handful of features not yet implemented, that was on the roadmap – but I bet you the SQL Team will go an extra length to get the features ready for the final release.
This post will show you how to get started with testing/using the newest version of the CTP.
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With the release of SQL Server 2016 also comes a great new feature to get a live view of the current execution plan for an active query.
This blogpost will cover the aspects of this new feature including:
With the release of SQL Server 2016 comes many great new features. One of these is the implementation of row level security in the database engine.
This blogpost will cover the aspects of this new feature – including:
There are many new features in SQL Server 2016, but the one we will focus on in this post is:
Have you ever been on a website, where your personal information, ie. Social Security number or Credit Card number shown in clear text, ready for everyone to have a look at. Would it not be cool if your information was somehow masked by default, and not needed to rely on the application to mask the data before displaying it on the screen?
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There are many new features in SQL Server 2016, but the one we will focus on in this post is:
A feature many companies and developers have been waiting, is now finally being implemented in SQL Server. The feature is called Always Encrypted, the main purpose of this feature is to secure your data. Your data will only be visible to the ones logged into an application consuming the data, and will never be transferred from application to database unencrypted.
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There are many new features in SQL Server 2016, but the one we will focus on in this post is:
One of the many new features in SQL server 2016 is the built-in support for temporal data tables. This is a feature that many developers have been urging to have as a “out of the box feature” – and therefore many have developed their own ways of implementing the capability to store information about how data looked in a certain period of time.
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