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SQL Server 2019 Revealed - Including Big Data Clusters and Machine Learning (Paperback, 1st ed.)
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SQL Server 2019 Revealed - Including Big Data Clusters and Machine Learning (Paperback, 1st ed.)
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Get up to speed on the game-changing developments in SQL Server
2019. No longer just a database engine, SQL Server 2019 is cutting
edge with support for machine learning (ML), big data analytics,
Linux, containers, Kubernetes, Java, and data virtualization to
Azure. This is not a book on traditional database administration
for SQL Server. It focuses on all that is new for one of the most
successful modernized data platforms in the industry. It is a book
for data professionals who already know the fundamentals of SQL
Server and want to up their game by building their skills in some
of the hottest new areas in technology. 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. 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.
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