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Simplifying Data Engineering and Analytics with Delta

You're reading from   Simplifying Data Engineering and Analytics with Delta Create analytics-ready data that fuels artificial intelligence and business intelligence

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Product type Paperback
Published in Jul 2022
Publisher Packt
ISBN-13 9781801814867
Length 334 pages
Edition 1st Edition
Languages
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Author (1):
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Anindita Mahapatra Anindita Mahapatra
Author Profile Icon Anindita Mahapatra
Anindita Mahapatra
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Table of Contents (18) Chapters Close

Preface 1. Section 1 – Introduction to Delta Lake and Data Engineering Principles
2. Chapter 1: Introduction to Data Engineering FREE CHAPTER 3. Chapter 2: Data Modeling and ETL 4. Chapter 3: Delta – The Foundation Block for Big Data 5. Section 2 – End-to-End Process of Building Delta Pipelines
6. Chapter 4: Unifying Batch and Streaming with Delta 7. Chapter 5: Data Consolidation in Delta Lake 8. Chapter 6: Solving Common Data Pattern Scenarios with Delta 9. Chapter 7: Delta for Data Warehouse Use Cases 10. Chapter 8: Handling Atypical Data Scenarios with Delta 11. Chapter 9: Delta for Reproducible Machine Learning Pipelines 12. Chapter 10: Delta for Data Products and Services 13. Section 3 – Operationalizing and Productionalizing Delta Pipelines
14. Chapter 11: Operationalizing Data and ML Pipelines 15. Chapter 12: Optimizing Cost and Performance with Delta 16. Chapter 13: Managing Your Data Journey 17. Other Books You May Enjoy

Handling Slowly Changing Dimensions (SCD)

Operational data makes its way into OLAP systems that comprise fact and dimension tables. The facts change frequently and are usually additive in nature. The dimensions do not change as often but they do experience some change, hence the name "slowly changing dimensions."

Business rules dictate how this change is to be handled and the various types of SCD operations reflect this. The following table lists them.

Figure 6.5 – SCD types

Of all these alternatives, types 1 and 2 are the most popular in the industry. In the next section, we will explore them in more detail.

SCD Type 1

This is fairly straightforward as there is no need to store the historical data; the newer data just overwrites the older data. Delta's MERGE constructs come in handy. There is an initial full load of the data. New data is inserted, existing data is updated, and deletes remove the data altogether.

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