October 2020
Intermediate to advanced
402 pages
7h 19m
English
book
SQL Server Data Automation Through Frameworks: Building Metadata-Driven Frameworks with T-SQL, SSIS, and Azure Data Factory
by Andy Leonard, Kent Bradshaw
Overview
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.
- 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). Readersshould have a background in programming along with a desire to optimize their data efforts by implementing repeatable processes that support enterprise DevOps.
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