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SQL Server Blog

SQL Server 2008 and 2008 R2 are reaching end of support. What’s next?

SQL Server 2008 and 2008 R2 have had a tremendous run. But all good things come to an end, right? On July 9, 2019, Microsoft will end Extended Support, which means no more updates or support of any kind, potentially leaving you vulnerable to security and compliance issues. The good news is, you still have...

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Re-platforming and modernizing your data workloads with SQL Server on Linux

This post is authored by Marko Hotti, Senior Product Marketing Manager, SQL Server. Today, we’re excited to introduce a free e-book, SQL Server on Linux: A guide to re-platforming and modernizing your data workloads. This is the third in a series of technical e-books helping you get the most out of your database. With SQL Server 2017,...

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Securing your data with Azure SQL Database

The General Data Protection Regulation (GDPR) is now in effect as of May 25th, 2018.  GDPR has significant implications on the use and management of your customers’ personal data. Considerations of privacy, security, data management, and marketing practices are all top of mind. With nearly 160 new GDPR requirements, it’s clear that cloud technology can...

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Cloud data and AI services training roundup May 2018

To help you stay up to date on online training opportunities, we’re releasing a monthly list of the latest free Data and Artificial Intelligence (AI) sessions in one convenient post. SQL Database Azure SQL Database is the intelligent, fully managed relational cloud database service that provides the broadest SQL Server engine compatibility, so you can...

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A new update for mssql-cli, an interactive CLI, is now available

We have released our second major update for mssql-cli since our public preview announcement in December. You can view the public preview announcement here. mssql-cli is a new and interactive command line query tool for SQL Server. This open source tool works cross-platform and is part of the dbcli community. See the install guide to...

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Bring clarity to complex data with graph databases on SQL Server 2017

SQL Server 2017, in addition to processing relational data, now fully integrates with graph database models, all on the same familiar system. This will bring clarity to the increasing amounts of data businesses generate every day. What’s the difference between graph and relational databases? Relational databases, like SQL Server, use foreign keys to manage relationships...

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Modernize your applications across on-premise and cloud with the Microsoft Data Accelerator Program

Your customers are demanding the latest innovations in every solution you deliver. How do you make sure that your apps meet — and exceed — your customers’ expectations? Leverage the Microsoft Data Accelerator Program, an efficient and reliable upgrade service, to modernize your on-premise or cloud applications. This year, we have expanded the program to...

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Analysis Services Innovations in SQL Server 2017

This post was authored by Christian Wade, Senior Program Manager, Microsoft Microsoft SQL Server Analysis Services (SSAS) enables IT professionals to build semantic models over large, integrated managed datasets for end-user consumption. SSAS runs on Windows and is part of the larger suite of SQL Server’s BI offerings. SSAS 2017 brings a host of new...

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Enhancing query performance with Adaptive Query Processing in SQL Server 2017

This post was authored by Joe Sack, Principal Program Manager, Data Systems Group, Microsoft SQL Server 2017 and Azure SQL Database introduce a new generation of query processing improvements that will adapt optimization strategies to your application workload’s runtime conditions. For this first version of this adaptive query processing feature family, we have three new...

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Six reasons to consider SQL Server 2017—especially if you’re on Linux

“Data is currency” is the rule of thumb in business. As with money, business data must be accessible, accurate, and usable across disparate contexts if an organization is to realize greater ROI while keeping costs under control. CIOs understand that the need to manage data—its location, composition, and utility—is as important as managing a balance...

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