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.
