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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 4

  1. Data transfers direct from the data provider must be stored in a highly secure environment because they often contain sensitive data that is necessary to have during transformation, but will be removed before the data is loaded into the warehouse, mart, or lake.

  2. Maintaining modular, systematically named code files, rather than one long code file, allows the opportunity for manual rollback. This makes troubleshooting to repair variables easier if a problem is identified after processing.

  3. The main advantage of naming these variables COST1, COST2, and so on up to COST10 is that they could be easily declared in an array by using the range COST1-COST10. The main disadvantage of renaming these variables with names such as COST1 and COST2 is that the variable names would become unintuitive and documentation would be needed in order to understand what they mean.

  4. Formats can be created in SAS using PROC FORMAT and saved outside of the data step code. In contrast,...

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