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Mastering SQL Server 2017 - Build smart and efficient database applications for your organization with SQL Server 2017 (Paperback)
Loot Price: R1,234
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Mastering SQL Server 2017 - Build smart and efficient database applications for your organization with SQL Server 2017 (Paperback)
Expected to ship within 10 - 15 working days
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Leverage the power of SQL Server 2017 Integration Services to build
data integration solutions with ease Key Features Work with
temporal tables to access information stored in a table at any time
Get familiar with the latest features in SQL Server 2017
Integration Services Program and extend your packages to enhance
their functionality Book DescriptionMicrosoft SQL Server 2017 uses
the power of R and Python for machine learning and
containerization-based deployment on Windows and Linux. By learning
how to use the features of SQL Server 2017 effectively, you can
build scalable apps and easily perform data integration and
transformation. You'll start by brushing up on the features of SQL
Server 2017. This Learning Path will then demonstrate how you can
use Query Store, columnstore indexes, and In-Memory OLTP in your
apps. You'll also learn to integrate Python code in SQL Server and
graph database implementations for development and testing. Next,
you'll get up to speed with designing and building SQL Server
Integration Services (SSIS) data warehouse packages using SQL
server data tools. Toward the concluding chapters, you'll discover
how to develop SSIS packages designed to maintain a data warehouse
using the data flow and other control flow tasks. By the end of
this Learning Path, you'll be equipped with the skills you need to
design efficient, high-performance database applications with
confidence. This Learning Path includes content from the following
Packt books: SQL Server 2017 Developer's Guide by Milos
Radivojevic, Dejan Sarka, et. al SQL Server 2017 Integration
Services Cookbook by Christian Cote, Dejan Sarka, et. al What you
will learn Use columnstore indexes to make storage and performance
improvements Extend database design solutions using temporal tables
Exchange JSON data between applications and SQL Server Migrate
historical data to Microsoft Azure by using Stretch Database Design
the architecture of a modern Extract, Transform, and Load (ETL)
solution Implement ETL solutions using Integration Services for
both on-premise and Azure data Who this book is forThis Learning
Path is for database developers and solution architects looking to
develop ETL solutions with SSIS, and explore the new features in
SSIS 2017. Advanced analysis practitioners, business intelligence
developers, and database consultants dealing with performance
tuning will also find this book useful. Basic understanding of
database concepts and T-SQL is required to get the best out of this
Learning Path.
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