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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 1

  1. SAS manages data using the procedural data step language, so the programmer must spell out exactly how queries will execute. SQL is a declarative language, so the programmer declares the query results they want, and an optimizer program determines how the query will execute.

  2. Setting criteria using the WHERE clause will cause SAS to skip over reading records that do not meet the criteria. If the criteria are set on an IF rather than a WHERE clause, SAS will read the whole record first and evaluate the criteria afterward.

  3. SAS/ACCESS.

  4. It is a high-cardinality variable that is used repeatedly in WHERE clauses in processing.

  5. It is best to store data independently of SAS code for privacy reasons, and it is usually easier to enter the data into a spreadsheet and then read it into SAS. However, it is possible to use SAS to enter data, and then save the resulting dataset as the live data.

  6. By using all SAS components, you can achieve the fastest I/O possible...

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Mastering SAS Programming for Data Warehousing
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