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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
Tools
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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. What is the XPT format for?

  2. What does the GUESSINGROWS option in PROC IMPORT do?

  3. How can PROC IMPORT help the analyst develop infile code, even if the procedure hits an error?

  4. Why is data from fixed-width datasets challenging to read into SAS without documentation?

  5. Imagine you have a *.csv file that you want to convert to a *.SAS7bdat dataset to transfer to a coworker using static media. How would you use LIBNAME statements in your code?

  6. Imagine your company assembles a large dataset once per year using SAS and analyzes it in SAS for their annual report. The company rarely uses the dataset once the report is generated, and therefore, it can be kept in archives. What is the optimal format for storing these yearly datasets? State your rationale.

  7. Imagine you are a developer at a SAS data warehouse. A data provider for your warehouse asks you in what format you would like to receive the data. You have the choice between *.csv, *.txt, or *.SAS7bdat...

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