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...
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| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
[Berkeley, CA]
Apress
[2020]
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| Links: | https://learning.oreilly.com/library/view/-/9781484262139/?ar |
| Zusammenfassung: | 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 |
| Beschreibung: | Print version record. - Online resource; title from digital title page (viewed on December 31, 2020) |
| Umfang: | 1 Online-Ressource (xx, 391 Seiten) |
| ISBN: | 9781484262139 1484262131 |
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| spelling | Leonard, Andy VerfasserIn aut SQL Server data automation through frameworks building metadata-driven frameworks with T-SQL, SSIS, and Azure Data Factory Andy Leonard, Kent Bradshaw [Berkeley, CA] Apress [2020] 1 Online-Ressource (xx, 391 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Print version record. - Online resource; title from digital title page (viewed on December 31, 2020) 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 SQL server Microsoft .NET Framework Client/server computing Microsoft software Database management Computer software Data mining Software Data Mining Architecture client-serveur (Informatique) Logiciels Microsoft Bases de données ; Gestion Logiciels Exploration de données (Informatique) software Bradshaw, Kent MitwirkendeR ctb 9781484262122 Erscheint auch als Druck-Ausgabe 9781484262122 |
| spellingShingle | Leonard, Andy SQL Server data automation through frameworks building metadata-driven frameworks with T-SQL, SSIS, and Azure Data Factory SQL server Microsoft .NET Framework Client/server computing Microsoft software Database management Computer software Data mining Software Data Mining Architecture client-serveur (Informatique) Logiciels Microsoft Bases de données ; Gestion Logiciels Exploration de données (Informatique) software |
| title | SQL Server data automation through frameworks building metadata-driven frameworks with T-SQL, SSIS, and Azure Data Factory |
| title_auth | SQL Server data automation through frameworks building metadata-driven frameworks with T-SQL, SSIS, and Azure Data Factory |
| title_exact_search | SQL Server data automation through frameworks building metadata-driven frameworks with T-SQL, SSIS, and Azure Data Factory |
| title_full | SQL Server data automation through frameworks building metadata-driven frameworks with T-SQL, SSIS, and Azure Data Factory Andy Leonard, Kent Bradshaw |
| title_fullStr | SQL Server data automation through frameworks building metadata-driven frameworks with T-SQL, SSIS, and Azure Data Factory Andy Leonard, Kent Bradshaw |
| title_full_unstemmed | SQL Server data automation through frameworks building metadata-driven frameworks with T-SQL, SSIS, and Azure Data Factory Andy Leonard, Kent Bradshaw |
| title_short | SQL Server data automation through frameworks |
| title_sort | sql server data automation through frameworks building metadata driven frameworks with t sql ssis and azure data factory |
| title_sub | building metadata-driven frameworks with T-SQL, SSIS, and Azure Data Factory |
| topic | SQL server Microsoft .NET Framework Client/server computing Microsoft software Database management Computer software Data mining Software Data Mining Architecture client-serveur (Informatique) Logiciels Microsoft Bases de données ; Gestion Logiciels Exploration de données (Informatique) software |
| topic_facet | SQL server Microsoft .NET Framework Client/server computing Microsoft software Database management Computer software Data mining Software Data Mining Architecture client-serveur (Informatique) Logiciels Microsoft Bases de données ; Gestion Logiciels Exploration de données (Informatique) software |
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