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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

Product type Paperback

Published in Oct 2020

Publisher Packt

ISBN-13 9781789532371

Length 494 pages

Edition 1st Edition

Tools

SAS

Concepts

Application Development

Author (1):

Monika Wahi

View More author details

Table of Contents (18) Chapters

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

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Further reading

Why Data Warehouse Projects Fail by Tim Mitchell, available here: https://www.timmitchell.net/post/2017/01/10/why-data-warehouse-projects-fail/
Data about veteran salaries by state from the US census: https://lehd.ces.census.gov/data/veo_experimental.html
SAS white paper, Merging vs. Joining: Comparing the Data Step with SQL by Malachy J. Foley, available here: https://support.sas.com/resources/papers/proceedings/proceedings/sugi30/249-30.pdf
American Hospital Directory state hospital data available here: https://www.ahd.com/state_statistics.html
Healthcare Cost and Utilization Project (HCUP) datasets: https://www.hcup-us.ahrq.gov/databases.jsp
Online course, Data Curation Foundations, available here: https://www.linkedin.com/learning/data-curation-foundations/data-curation-in-data-science?u=2125562

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Authors (1)

Monika Wahi

Monika Wahi

Monika Wahi, MPH, CPH, is a well-published epidemiologist, biostatistician, informaticist, and data scientist. For over 20 years, Monika has worked at various governmental organizations and non-profits, and led consulting projects in academia and for governments both in the United States and internationally. She is President of DethWench Professional Services (DPS), which offers consulting and training in data science, specializing in public health and healthcare. Monika is proficient in SAS, R, Excel, and SQL, and is the author of many articles and online courses in data science and health data analytics.

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