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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

Questions

  1. Why should de-identification take place on a server, rather than connected to the internet?

  2. Why is it important to support remote work for analysts and developers?

  3. Why do data warehouses configured in a star schema need a lot of space for data storage?

  4. What does an ODBC connection using SAS/ACCESS allow the SAS user to do?

  5. What are the advantages of using PROC SQL views to stage data transfers from non-SAS databases to SAS data warehouses?

  6. SAS offers the use of an ODBC connection to connect to remote database systems in other formats (such as SQL), which we went over in this chapter. Under what circumstances might it be easier to transfer data into the SAS environment from a remote environment in a more manual way, without using an ODBC connection?

  7. How could PROC SQL be used to export a dataset out of a SAS environment into a SQL database?

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