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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

Chapter 8: Using Macros to Automate ETL in SAS

Up to now, we have learned how to run PROCs and data steps in SAS, especially for extract, transform, and load (ETL) protocols, which make up a lot of the work of running a SAS data warehouse. In this chapter, we will learn about SAS macros and macro variables, and how they can help us with ETL.

First, we will learn how to build base code, then convert it to a macro. We will do this with both PROCs and data steps. Next, we will talk about different ways of storing and calling macros. Finally, we will look at an example of using macros to automate loading transformed data.

This chapter will teach you the following skills:

  • How to make transformation macros by developing standalone data step code first, and then rebuilding it into a macro

  • How to standardize ETL in a data warehouse using SAS macros, and the advantages and disadvantages of using macros for this

  • How to use macros to load transformed datasets into a SAS...

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Mastering SAS Programming for Data Warehousing
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