Book Image

SAP Data Services 4.x Cookbook

By : Shomnikov
Book Image

SAP Data Services 4.x Cookbook

By: Shomnikov

Overview of this book

Want to cost effectively deliver trusted information to all of your crucial business functions? SAP Data Services delivers one enterprise-class solution for data integration, data quality, data profiling, and text data processing. It boosts productivity with a single solution for data quality and data integration. SAP Data Services also enables you to move, improve, govern, and unlock big data. This book will lead you through the SAP Data Services environment to efficiently develop ETL processes. To begin with, you’ll learn to install, configure, and prepare the ETL development environment. You will get familiarized with the concepts of developing ETL processes with SAP Data Services. Starting from smallest unit of work- the data flow, the chapters will lead you to the highest organizational unit—the Data Services job, revealing the advanced techniques of ETL design. You will learn to import XML files by creating and implementing real-time jobs. It will then guide you through the ETL development patterns that enable the most effective performance when extracting, transforming, and loading data. You will also find out how to create validation functions and transforms. Finally, the book will show you the benefits of data quality management with the help of another SAP solution—Information Steward.
Table of Contents (14 chapters)
11
11. Working with SAP Applications
13
Index

Automatic job recovery in Data Services


The recovery process usually kicks in when Data Services jobs fail. A failed job, in most cases, means that some part of it has completed successfully and some part has not. The job which has failed right at the very beginning is rarely a problem and is of hardly any concern for recovery as all you have to do is to start it again.

Complications arise when the job fails in the middle of the insert, into a target table for example. Cases like that require you to either consider deleting already inserted records or even recovering a copy of the table from a backup using database recovery methods.

Recovery and error handling is an important part of robust ETL code. In this recipe, we will take a look at the methods used to develop ETL in Data Services and the functionality available in the software to make sure that the process of resuming failed processes goes as smoothly as possible.

The automatic job recovery feature available in Data Services does not...