Skip to Content
SQL Server Data Automation Through Frameworks: Building Metadata-Driven Frameworks with T-SQL, SSIS, and Azure Data Factory
book

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

by Andy Leonard, Kent Bradshaw
October 2020
Intermediate to advanced
402 pages
7h 19m
English
Apress
Content preview from SQL Server Data Automation Through Frameworks: Building Metadata-Driven Frameworks with T-SQL, SSIS, and Azure Data Factory
© Andy Leonard, Kent Bradshaw 2020
A. Leonard, K. BradshawSQL Server Data Automation Through Frameworkshttps://doi.org/10.1007/978-1-4842-6213-9_11

11. Fault Tolerance in the ADF Framework

Andy Leonard1  and Kent Bradshaw2
(1)
Farmville, VA, USA
(2)
Providence Forge, VA, USA
 

The previous chapter covered logging functionality for the Azure Data Factory version of the SSIS framework’s execution engine. Differences in functionality available to SSIS packages and functionality available to Azure Data Factory pipelines drove design changes.

In this chapter, we complete ADF execution engine functionality by implementing fault tolerance to programmatically stop pipeline execution based on SSISConfig metadata configurations.

A Brief Introduction to Fault Tolerance ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Introduction to SQL Server Integration Services (SSIS) LiveLessons (Video Training): Getting started with Extract, Transform, and Load (ETL) using SSIS

Introduction to SQL Server Integration Services (SSIS) LiveLessons (Video Training): Getting started with Extract, Transform, and Load (ETL) using SSIS

Eric Johnson

Publisher Resources

ISBN: 9781484262139Purchase LinkPublisher Website