SQL Server Data Automation Through Frameworks (PDF)
Building Metadata-Driven Frameworks with T-SQL, SSIS, and Azure Data Factory
(Sprache: Englisch)
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...
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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.
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
Autoren-Porträt von Andy Leonard, Kent Bradshaw
Andy Leonard is Chief Data Engineer at Enterprise Data & Analytics, creator and Data Philosopher at DILM (Data Integration Lifecycle Management) Suite, an Azure Data Factory and SQL Server Integration Services trainer and consultant, and a BimlHero. He is a SQL Server database and data warehouse developer, community mentor, engineer, and farmer. Andy is co-author of SQL Server Integration Services Design Patterns, Data Integration Life Cycle Management with SSIS, and The Biml Book.Kent Bradshaw is the founder or Tudor Data Solutions, LLC. With over 40 years of IT experience, he is a SQL Server database/ETL developer and database architect with a background is in Medicaid claims, public schools, government, retail, and insurance systems. In 2011, Kent founded Tudor Data Solutions, LLC to pursue new development opportunities which led to his association with Andy Leonard and Enterprise Data & Analytics. In 2017, Kent received the MPP certification for Data Science.
Bibliographische Angaben
- Autoren: Andy Leonard , Kent Bradshaw
- 2020, 1st ed, 391 Seiten, Englisch
- Verlag: APress
- ISBN-10: 1484262131
- ISBN-13: 9781484262139
- Erscheinungsdatum: 17.10.2020
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Grösse: 17 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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