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Sách SQL Server Data Automation Through Frameworks - ACB Bookstore

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Sách SQL Server Data Automation Through Frameworks - ACB Bookstore

Sách gia công, bìa mềm
 
 
Learn to automate SQL Server operations using
frameworks built from metadata-driven stored procedures and SQL Server
Integration Services (SSIS). Bring all the power of Transact-SQL (T-SQL)
and Microsoft .NET to bear on your repetitive data, data integration,
and ETL processes. Do this for no added cost over what you’ve already
spent on licensing SQL Server. The tools and methods from this book may
be applied to on-premises and Azure SQL Server instances. The SSIS
framework from this book works in Azure Data Factory (ADF) and provides
DevOps personnel the ability to execute child packages outside a
project—functionality not natively available in SSIS.
Frameworks not
only reduce the time required to deliver enterprise functionality, but
can also accelerate troubleshooting and problem resolution. You'll learn
in this book how frameworks also improve code quality by using metadata
to drive processes. Much of the work performed by data professionals
can be classified as “drudge work”—tasks that are repetitive and
template-based. The frameworks-based approach shown in this book helps
you to avoid that drudgery by turning repetitive tasks into "one and
done" operations. Frameworks as described in this book also support
enterprise DevOps with built-in logging functionality.
What You Will Learn
 
Create a stored procedure framework to automate SQL process execution
Base your framework on a working system of stored procedures and execution logging
Create an SSIS framework to reduce the complexity of executing multiple SSIS packages
Deploy stored procedure and SSIS frameworks to Azure Data Factory environments in the cloud
 
Who This Book Is For
Database
administrators and developers who are involved in enterprise data
projects built around stored procedures and SQL Server Integration
Services (SSIS). Readers should have a background in programming along
with a desire to optimize their data efforts by implementing repeatable
processes that support enterprise DevOps.
 
 
 
Thể loại:Computers - Programming
 
Năm:2020
 
In lần thứ:1st ed.
 
Nhà xuát bản:Apress
 
Ngôn ngữ:english
 

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