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Mastering SAS Programming for Data Warehousing

Mastering SAS Programming for Data Warehousing

By : Monika Wahi
4.4 (5)
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Mastering SAS Programming for Data Warehousing

Mastering SAS Programming for Data Warehousing

4.4 (5)
By: Monika Wahi

Overview of this book

SAS is used for various functions in the development and maintenance of data warehouses, thanks to its reputation of being able to handle ’big data’. This book will help you learn the pros and cons of storing data in SAS. As you progress, you’ll understand how to document and design extract-transform-load (ETL) protocols for SAS processes. Later, you’ll focus on how the use of SAS arrays and macros can help standardize ETL. The book will also help you examine approaches for serving up data using SAS and explore how connecting SAS to other systems can enhance the data warehouse user’s experience. By the end of this data management book, you will have a fundamental understanding of the roles SAS can play in a warehouse environment, and be able to choose wisely when designing your data warehousing processes involving SAS.
Table of Contents (18 chapters)
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1
Section 1: Managing Data in a SAS Data Warehouse
7
Section 2: Using SAS for Extract-Transform-Load (ETL) Protocols in a Data Warehouse
12
Section 3: Using SAS When Serving Warehouse Data to Users

Debugging data step code

As you must realize by now, well-formed data step code is critical to efficiency in SAS. Therefore, once we write data step code for an enduring process (such as ETL), it seems like we are always editing it to improve it. We may even rewrite it to add arrays or macro processing.

However, each time we write and rewrite data step code, we create the opportunity for bugs. For this reason, and because the data step code is so complicated to begin with, there is an extensive array of strategies for troubleshooting and debugging SAS data steps. Many are covered in the SAS white paper Errors, Warnings, and Notes (Oh My) A Practical Guide to Debugging SAS Programs by Lora D. Delwiche and Susan J. Slaughter (link available in the Further reading section).

Because this topic is so extensive, we cannot give it a full treatment here. Instead, we will just cover the basics of debugging data step code and refer to the white paper and other resources for further information...

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Mastering SAS Programming for Data Warehousing
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