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Explore the impressive storage and analytic tools available with
the in-cloud and on-premises versions of Microsoft SQL Server 2019.
Key Features Gain insights into what's new in SQL Server 2019
Understand use cases and customer scenarios that can be implemented
with SQL Server 2019 Discover new cross-platform tools that
simplify management and analysis Book DescriptionMicrosoft SQL
Server comes equipped with industry-leading features and the best
online transaction processing capabilities. If you are looking to
work with data processing and management, getting up to speed with
Microsoft Server 2019 is key. Introducing SQL Server 2019 takes you
through the latest features in SQL Server 2019 and their
importance. You will learn to unlock faster querying speeds and
understand how to leverage the new and improved security features
to build robust data management solutions. Further chapters will
assist you with integrating, managing, and analyzing all data,
including relational, NoSQL, and unstructured big data using SQL
Server 2019. Dedicated sections in the book will also demonstrate
how you can use SQL Server 2019 to leverage data processing
platforms, such as Apache Hadoop and Spark, and containerization
technologies like Docker and Kubernetes to control your data and
efficiently monitor it. By the end of this book, you'll be well
versed with all the features of Microsoft SQL Server 2019 and
understand how to use them confidently to build robust data
management solutions. What you will learn Build a custom container
image with a Dockerfile Deploy and run the SQL Server 2019
container image Understand how to use SQL server on Linux Migrate
existing paginated reports to Power BI Report Server Learn to query
Hadoop Distributed File System (HDFS) data using Azure Data Studio
Understand the benefits of In-Memory OLTP Who this book is forThis
book is for database administrators, architects, big data
engineers, or anyone who has experience with SQL Server and wants
to explore and implement the new features in SQL Server 2019. Basic
working knowledge of SQL Server and relational database management
system (RDBMS) is required.
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