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Home / Computers - Programming

SQL Server Data Automation Through Frameworks: Building Metadata-Driven Frameworks with T-SQL, SSIS, and Azure Data Factory Andy 1484262131 9781484262139

$50.00 Original price was: $50.00.$25.00Current price is: $25.00.

SQL Server Data Automation Through Frameworks: Building Metadata-Driven Frameworks with T-SQL, SSIS, and Azure Data Factory Andy Leonard Digital Instant Download

 

Author(s): Andy Leonard, Kent Bradshaw
ISBN(s): 9781484262122, 9781484262139, 1484262123, 1484262131
Edition: 1st ed.
File Details: PDF, 17.53 MB
Year: 2020
Language: English
SKU: EB-22417524 Category: Computers - Programming Tags: 1484262131, 9781484262139, Andy Leonard, Data Factory, Kent Bradshaw, Metadata-Driven, Server Data, SSIS, T-SQL
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This completed downloadable of SQL Server Data Automation Through Frameworks: Building Metadata-Driven Frameworks with T-SQL, SSIS, and Azure Data Factory Andy Leonard

Instant downloaded SQL Server Data Automation Through Frameworks: Building Metadata-Driven Frameworks with T-SQL, SSIS, and Azure Data Factory Andy Leonard pdf docx epub after payment.

Product details:

  • ISBN 10: 1484262131
  • ISBN 13: 9781484262139
  • Author: Andy Leonard

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.

Table of contents:

Part I. Stored Procedure-Based Database Frameworks
1. Stored Procedures 101
2. Automation with Stored Procedures
3. Stored Procedure Orchestrators
4. A Stored Procedure–Based Metadata-Driven Framework
Part II. SSIS Frameworks
5. A Simple, Custom, File-Based SSIS Framework
6. Framework Execution Engine
7. Framework Logging
8. Azure-SSIS Integration Runtime
9. Deploy a Simple, Custom, File-Based Azure-SSIS Framework
10. Framework Logging in ADF
11. Fault Tolerance in the ADF Framework

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