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SQL Server Blog

Announcing SQL Server 2019 community technology preview 2.2

In September we announced SQL Server 2019 preview, the first release of SQL Server to create a unified data platform by packaging Apache SparkTM and Hadoop Distributed File System (HDFS) together with SQL Server as a single, integrated solution.  SQL Server 2019 promises to simplify big data analytics for SQL Server users, break down data...

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Creating a data hub for your analytics with PolyBase

Data is the new currency of the digital world, and Microsoft is uniquely positioned to help businesses and consumers get the most out of their data assets. With the leading database in the world, SQL Server, and the rapidly growing Azure cloud data platform, Microsoft is delivering a modern data platform. We are witnessing a...

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Data and AI Services training roundup October 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 Server 2019 SQL Server 2019 brings innovative security and compliance features, industry-leading performance, mission-critical availability, and advanced analytics to all your data workloads, now...

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An Engineer and a tiger walk into a Clinic at the PASS Summit 2018

Sounds like there should be a punchline right? Well, there is. Microsoft will be in full force at PASS Summit 2018, and this is the third blog post in a series describing the involvement of the Microsoft SQL Server engineering team there. You can read more about our keynotes and our Modernizing pre-conference seminar from...

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Introducing Microsoft SQL Server 2019 Big Data Clusters

Yesterday at the Microsoft Ignite conference, we announced that SQL Server 2019 is now in preview and that SQL Server 2019 will include Apache Spark and Hadoop Distributed File System (HDFS) for scalable compute and storage. This new architecture that combines together the SQL Server database engine, Spark, and HDFS into a unified data platform...

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SQL Server 2019 preview combines SQL Server and Apache Spark to create a unified data platform

Today at Ignite, Microsoft announced the preview of SQL Server 2019. For 25 years, SQL Server has helped enterprises manage all facets of their relational data. In recent releases, SQL Server has gone beyond querying relational data by unifying graph and relational data and bringing machine learning to where the data is with R and...

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Cloud Data and AI Services training roundup September 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 Server With SQL Server virtual machines, you can use full versions of SQL Server in the cloud without having to manage any on-premises hardware....

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Cloud data and AI services training roundup August 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 Server Build modern applications using the language of your choice, on-premises and in the cloud, now on Windows, Linux, and Docker containers. Prepare for...

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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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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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