SQL Server Data Automation Through Frameworks
Building Metadata-Driven Frameworks with T-SQL, SSIS, and Azure Data Factory
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…
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Produktdetails
Weitere Autoren: Leonard, Andy
- ISBN: 978-1-4842-6212-2
- EAN: 9781484262122
- Produktnummer: 34503884
- Verlag: Apress
- Sprache: Englisch
- Erscheinungsjahr: 2020
- Seitenangabe: 412 S.
- Masse: H25.4 cm x B17.8 cm x D2.2 cm 771 g
- Auflage: 1st ed
- Abbildungen: Paperback
- Gewicht: 771
Über den Autor
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.
1 weiteres Werk von Kent Bradshaw:
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