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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

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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