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SQL Server Blog

Introducing UTF-8 support in SQL Server 2019 preview

With the first public preview of SQL Server 2019, we announced support for the widely used UTF-8 character encoding as an import or export encoding, and as database-level or column-level collation for string data. This is an asset for companies extending their businesses to a global scale, where the requirement of providing global multilingual database applications...

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Confidential computing using Always Encrypted with secure enclaves in SQL Server 2019 preview

SQL Server 2019 preview brings encryption technology to a broader set of scenarios by enabling rich confidential computing capabilities with the enhanced Always Encrypted feature, Always Encrypted with secure enclaves. Always Encrypted with secure enclaves allows rich computations on encrypted data, boosts performance when encrypting large columns of data or complex schemas, and enables customers...

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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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Availability Groups on Kubernetes in SQL Server 2019 preview

Starting with SQL Server 2017, Microsoft embarked on a journey to support SQL Server deployments on Linux and containers, in order to provide a choice of deployment platform for our customers and partners. With the preview of SQL Server 2019, we announced new capabilities for deploying SQL Server with High Availability and Disaster Recovery on...

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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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The November release of Azure Data Studio is now available

We are excited to announce the November release of Azure Data Studio (formerly known as SQL Operations Studio) is now available. Download Azure Data Studio and review the Release Notes to get started. Note: If you are currently using the preview version, SQL Operations Studio, and would like to retain your settings when you upgrade to...

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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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Join us at PASS Summit 2018 – Nov 6-9, 2018!

Get inspired by our industry-leading keynote speakers on the Microsoft data platform at PASS Summit 2018! There has never been a more exciting time for data professionals and developers as more organizations turn to data-driven insights to stay ahead and prepare for the future. But staying up to speed in this rapidly changing data landscape...

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SQL Server 2019: Celebrating 25 years of SQL Server Database Engine and the path forward

This post is authored by Amit Banerjee, Principal PM Manager, SQL Server and Bob Ward, Principal Architect, Microsoft SQL Server Data Services.  SQL Server has provided enterprises the capability to manage all facets of their relational data. Over the years, we have increasingly seen a convergence for the need of combining heterogenous sets of relational and non-relational...

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