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SQL Server 2019 Revealed: Including Big Data Clusters and Machine Learning
Purchase options and add-ons
SQL Server 2019 Revealed begins with a look at the project's team goal to integrate the world of big data with SQL Server into a major product release. The book then dives into the details of key new capabilities in SQL Server 2019 using a “learn by example” approach for Intelligent Performance, security, mission-criticalavailability, and features for the modern developer. Also covered are enhancements to SQL Server 2019 for Linux and gain a comprehensive look at SQL Server using containers and Kubernetes clusters.
The book concludes by showing you how to virtualize your data access with Polybase to Oracle, MongoDB, Hadoop, and Azure, allowing you to reduce the need for expensive extract, transform, and load (ETL) applications. You will then learn how to take your knowledge of containers, Kubernetes, and Polybase to build a comprehensive solution called Big Data Clusters, which is a marquee feature of 2019. You will also learn how to gain access to Spark, SQL Server, and HDFS to build intelligence over your own data lake and deploy end-to-end machine learning applications.
What You Will Learn
- Implement Big Data Clusters with SQL Server, Spark, and HDFS
- Create a Data Hub with connections to Oracle, Azure, Hadoop, and other sources
- Combine SQL and Spark to build a machine learning platform for AI applications
- Boost your performance with no application changes using Intelligent Performance
- Increase security of your SQL Server through Secure Enclaves and Data Classification
- Maximize database uptime through online indexing and Accelerated Database Recovery
- Build new modern applications with Graph, ML Services, and T-SQL Extensibility with Java
- Improve your ability to deploy SQL Server on Linux
- Gain in-depth knowledge to run SQL Server with containers and Kubernetes
- Know all the new database engine features for performance, usability, and diagnostics
- Use the latest tools and methods to migrate your database to SQL Server 2019
- Apply your knowledge of SQL Server 2019 to Azure
Who This Book Is For
IT professionals and developers who understand the fundamentals of SQL Server and wish to focus on learning about the new, modern capabilities of SQL Server 2019. The book is for those who want to learn about SQL Server 2019 and the new Big Data Clusters and AI feature set, support for machine learning and Java, how to run SQL Server with containers and Kubernetes, and increased capabilities around Intelligent Performance, advanced security, and high availability.
- ISBN-10148425418X
- ISBN-13978-1484254189
- EditionFirst Edition
- Publication dateOctober 19, 2019
- LanguageEnglish
- Dimensions7.01 x 1 x 10 inches
- Print length444 pages
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Editorial Reviews
From the Back Cover
SQL Server 2019 Revealed begins with a look at the project's team goal to integrate the world of big data with SQL Server into a major product release. The book then dives into the details of key new capabilities in SQL Server 2019 using a “learn by example” approach for Intelligent Performance, security, mission-critical availability, and features for the modern developer. Also covered are enhancements to SQL Server 2019 for Linux and gain a comprehensive look at SQL Server using containers and Kubernetes clusters.
The book concludes by showing you how to virtualize your data access with Polybase to Oracle, MongoDB, Hadoop, and Azure, allowing you to reduce the need for expensive extract, transform, and load (ETL) applications. You will then learn how to take your knowledge of containers, Kubernetes, and Polybase to build a comprehensive solution called Big Data Clusters, which is a marquee feature of 2019. You will also learn how to gain access to Spark, SQL Server, and HDFS to build intelligence over your own data lake and deploy end-to-end machine learning applications.
You will:
- Implement Big Data Clusters with SQL Server, Spark, and HDFS
- Create a Data Hub with connections to Oracle, Azure, Hadoop, and other sources
- Combine SQL and Spark to build a machine learning platform for AI applications
- Boost your performance with no application changes using Intelligent Performance
- Increase security of your SQL Server through Secure Enclaves and Data Classification
- Maximize database uptime through online indexing and Accelerated Database Recovery
- Build new modern applications with Graph, ML Services, and T-SQL Extensibility with Java
- Improve your ability to deploy SQL Server on Linux
- Gain in-depth knowledge to run SQL Server with containers and Kubernetes
- Know all the new database engine features for performance, usability, and diagnostics
- Use the latest tools and methods to migrate your database to SQL Server 2019
- Apply your knowledge of SQL Server 2019 to Azure
About the Author
Product details
- Publisher : Apress
- Publication date : October 19, 2019
- Edition : First Edition
- Language : English
- Print length : 444 pages
- ISBN-10 : 148425418X
- ISBN-13 : 978-1484254189
- Item Weight : 1.65 pounds
- Dimensions : 7.01 x 1 x 10 inches
- Best Sellers Rank: #4,008,619 in Books (See Top 100 in Books)
- #138 in Microsoft SQL Server
- #321 in PC Hardware
- #476 in Microsoft C & C++ Windows Programming
- Customer Reviews:
About the author

Bob Ward is a Principal Architect for the Microsoft Azure Data team, which owns the development for Microsoft SQL Ground to Cloud. Bob has worked for Microsoft for 31 years on every version of SQL Server shipped from OS/2 1.1 to SQL Server 2022 including Azure SQL. Bob is a well-known speaker on SQL Server, Azure SQL, AI, and Microsoft Fabric often presenting talks on new releases, internals, and specialized topics at events such as SQLBits, Microsoft Build, Microsoft Ignite, PASS Summit, Fabric Community Conference, and VS Live. Bob is the author of the books Pro SQL Server on Linux, SQL Server 2019 Revealed, Azure SQL Revealed, SQL Server 2022 Revealed, and Azure SQL Revealed 2nd Edition available from Apress Media.
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