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Mastering SAS Programming for Data Warehousing

You're reading from   Mastering SAS Programming for Data Warehousing An advanced programming guide to designing and managing Data Warehouses using SAS

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Product type Paperback
Published in Oct 2020
Publisher Packt
ISBN-13 9781789532371
Length 494 pages
Edition 1st Edition
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Author (1):
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Monika Wahi Monika Wahi
Author Profile Icon Monika Wahi
Monika Wahi
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Table of Contents (18) Chapters Close

Preface 1. Section 1: Managing Data in a SAS Data Warehouse
2. Chapter 1: Using SAS in a Data Mart, Data Lake, or Data Warehouse FREE CHAPTER 3. Chapter 2: Reading Big Data into SAS 4. Chapter 3: Helpful PROCs for Managing Data 5. Chapter 4: Managing ETL in SAS 6. Chapter 5: Managing Data Reporting in SAS 7. Section 2: Using SAS for Extract-Transform-Load (ETL) Protocols in a Data Warehouse
8. Chapter 6: Standardizing Coding Using SAS Arrays 9. Chapter 7: Designing and Developing ETL Code in SAS 10. Chapter 8: Using Macros to Automate ETL in SAS 11. Chapter 9: Debugging and Troubleshooting in SAS 12. Section 3: Using SAS When Serving Warehouse Data to Users
13. Chapter 10: Considering the User Needs of SAS Data Warehouses 14. Chapter 11: Connecting the SAS Data Warehouse to Other Systems 15. Chapter 12: Using the ODS for Visualization in SAS 16. Assessments 17. Other Books You May Enjoy

Preface

SAS is used for various functions in the development and maintenance of data warehouses because of its reputation of being able to handle so-called big data. SAS software has been in existence a long time, and has been implemented in many large, data-intensive environments, including data warehouses.

This book provides end-to-end coverage of the practical programming considerations to make when involving SAS in a data warehouse environment. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, the book helps you begin to make decisions about the roles SAS should play in your data warehouse. It will teach you how to design arrays and macros to standardize extract-transform-load protocols, as well as how to develop strategies to optimally serve data warehouse customers.

You will learn the pros and cons of storing data in SAS, how to document and design ETL protocols for SAS processes, and how the use of SAS arrays and macros can help improve input/output (I/O) efficiency. You will also examine approaches to serving up data using SAS, and how to connect SAS to other systems to enhance the data warehouse user's experience. By the end of this book, you will have a foundational 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.

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