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
ForDatabase administrators and developers who are involved in enterprise data projects built
around stored procedures and SQL Server Integration Services (SSIS). Readersshould have a
background in programming along with a desire to optimize their data efforts by implementing
repeatable processes that support enterprise DevOps.
