Sql Web Server Business Intelligence Advancement Workshop 2008 Download And Install – SQL Server 2016 Community Technology Preview (CTP) 3.2 is now available for download! In SQL Server 2016 CTP 3.2, as part of our new rapid preview model, we’ve made several feature enhancements that you can try out in your development and test environments. Additionally, a number of Mobile BI additions and enhancements will be available in CTP 3.2 and by the end of December.
In SQL Server 2016 CTP 3.2, available for download today, you’ll see enhancements in several areas, including:
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The SQL Server 2016 CTP 3.2 release is a significant milestone for SQL Server Reporting Services (SSRS) as we continue to deliver on our Microsoft BI reporting roadmap and promise to enable users to gain business insights anytime, anywhere, and from any device. is
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In this preview release, we’re adding support for Mobile Reports to SQL Server Reporting Services for on-premises implementations. This means that Reporting Services will be able to support two report types, paginated reports, which are existing Reporting Services reports, and Mobile Reports, which are based on DataZen technology that was acquired in April 2015.
Mobile reports are optimized for mobile devices and form factors and provide the best experience for users accessing BI reports on mobile devices. With SQL Server 2016 CTP 3.2, you can write and manage mobile reports for easy access by users across your organization online and on mobile devices.
Microsoft SQL Server Mobile Report Publisher is a single point for creating mobile reports. You can connect to SQL Server Reporting Services to access data sources and easily create stunning reports, then publish them to SQL Server Reporting Services for access by others in the organization through a unified web experience or on mobile devices.
Whether you’re using SQL Server Reporting Services on-premises, Power BI in the cloud, or both as your report delivery solution, you only need one mobile app (Windows, iOS, and Android each) to access dashboards and mobile reports on mobile. for) will be required. devices
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Starting with the Power BI app for iOS, all your BI content will be available at your fingertips from within a single, unified mobile app. The Power BI app for iOS that includes a preview of SSRS mobile reporting capabilities is available from the App Store.
The addition of a mobile report type to SQL Server Reporting Services is accompanied by a completely new web portal experience that allows users to access KPIs, pagination and mobile reports in one centralized location.
Ready to learn more about these exciting new capabilities and explore the opportunities and scenarios they can enable for you and your organization? Download the CTP 3.2 release today and check out this SSRS blog post to find out how your organization can gain business insights, any way, anywhere and from any device.
Improvements to the XEvents wizard to allow templates to be used when SQL Server Management Studio (SSMS) is connected to an Azure v12 server, user interface improvements to the AlwaysEncrypted wizards and dialogs, improvements to the Results pane to enable switching to the Results tab. Updates to the showplan comparison feature to enable query execution, and comparison of current execution plans with those saved in a file. Please visit the SSMS blog post to learn more.
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SQL Server Analysis Services (SSAS) updates allow scripting in SSMS, creating calculated tables, and DirectQuery for models with 1200 consistency level. Please visit the SSAS team blog post to learn more.
SQL Server Data Tools (SSDT) now includes enhancements to the new connection experience for Microsoft SQL Server and Azure SQL Database that was introduced in CTP 3.1, as well as programmability for SQL Server 2016 CTP3.2 features and enhancements to SQL Server analytics. Support. services. Please visit the SSDT team blog post to learn more.
SQL Server Integration Services (SSIS) enhancements include HDFS-to-HDFS copy support, as well as Hadoop connectivity improvements including ARVO file format support and Kerberos authentication support.
As the foundation of our end-to-end data platform, SQL Server 2016 is the biggest leap in Microsoft’s data platform history with real-time operational analytics, rich visualization on mobile devices, built-in advanced analytics, new advanced security technologies, and more. And both on-premises and in the cloud.
Efficient Data Management In Sql Server 2008, Part 2
To learn more about SQL Server 2016, visit the SQL Server 2016 Preview page. To experience the new, exciting features and new rapid release model in SQL Server 2016, download the preview and start evaluating the impact these new innovations could have for your business.
Have questions? Join the discussion on new SQL Server 2016 capabilities on MSDN and StackOverflow. If you have any problem or want to make a suggestion, you can let us know through connect. We look forward to hearing from you!
For additional information about CTP 3.2, see What’s New in SQL Server 2016 and SQL Server 2016 Release Notes. Work with sparse columns more easily using column sets and get better query performance with filtered indexes
SQL Server 2008 introduces new features to help you work more efficiently with your data. In “Efficient Data Management in SQL Server 2008, Part 1,” I explored the new Sparse Columns feature, which lets you save significant storage space when a column contains a large proportion of null values. In this article, I’ll take a closer look at column sets, which provide a way to easily work with all the sparse columns in a table. I’ll also show you how you can use filtered indexes with both sparse and nonsparse columns to create small, efficient indexes on a subset of rows in a table.
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Column sets can add functionality to a table with sparse columns. As explained in Part 1, a column set is an untyped XML column that you can use to get and set all sparse column values as a set. Remember that you cannot add a column set to an existing table that already has sparse columns. If you try to execute an ALTER TABLE statement on such a table, you’ll get one of Microsoft’s new, informative error messages that will explain the problem. You have three options to solve this problem:
I would use the third option and use the code that Listing 1 (below) shows to create a table called DogCS, which contains the characteristic column set. The code also enters data for some dogs.
Because it has column sets, DogCS behaves differently from the Dog table in Part 1. When you execute the following SELECT statement, you get the results that Figure 1 shows:
Note that no sparse columns are included in the result set. Instead, the contents of the column set are shown as snippets of XML data. The results in the figure may be a little hard to read, so here is the absolute value of the characteristic column set field for Mardi, the first row of the results:
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Adding a column set to a table schema can break any code that uses SELECT * and expects to get back individual field data instead of a single XML column. But nobody uses SELECT * in production code, do they?
You can retrieve the values of sparse columns individually by including the field names in the SELECT list. For example, the following statement produces the results that Figure 2 shows:
You can also mix and match sparse columns and column sets in the same SELECT statement. You can then access the data in various formats for use in client applications. The following statement retrieves the handedness, birthday, and birthyear sparse columns, as well as the column set, and produces the results that Figure 3 shows:
Column sets become really useful when you insert or update data. You can provide an XML snippet as the value of the column set, which populates the corresponding sparse column. For example, the following code adds information for the king:
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Instead of providing a value for each sparse column, the code provides a value for the column set to populate the sparse column, in this case the king’s date of birth and weight. The following SELECT statement produces the results that Figure 4 shows:
Notice that the BirthDate field contains column set value data, but since there is no value set for handedness, the field is null.
You can also update existing sparse column values using a column set. The following code updates the King record and produces the results that Figure 5 shows:
But what happened to the King’s date of birth from the INSERT statement? The UPDATE statement sets the field to null because the code did not include it in the value of the column set. So you can update values using column sets, but it’s important to include all non-null values in the column set field’s value. SQL Server sets any sparse columns missing from the column set value to null.
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One limitation of updating data using a column set is that you cannot update the value of the column set and any individual sparse column values in the same statement. If you try, you will receive an error message:
The target column list of an INSERT, UPDATE, or MERGE statement cannot contain both
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