SQL Server Data Automation Through Frameworks
Building Metadata-Driven Frameworks with T-SQL, SSIS, and Azure Data Factory
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Beschreibung
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.
You will:
- 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
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). Readersshould have a background in programming along with a desire to optimize their data efforts by implementing repeatable processes that support enterprise DevOps.
Shows how to design and implement automation on-premises and in Azure Data Factory cloud solutions Provides patterns and examples for creating enterprise automation using free tools from Microsoft Demonstrates and promotes techniques that are critical to enterprise DevOps
Autor*in
Andy Leonard
Themen in »SQL Server Data Automation Through Frameworks«
SQL Server Azure SQL DevOps Biml Visual Studio T-SQL SSIS Azure SSIS Transact-SQL ETL ELT Azure Data Factory SQL Server Integration Services Business Intelligence Markup Language