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Data Engineering with Apache Spark, Delta Lake, and Lakehouse

You're reading from  Data Engineering with Apache Spark, Delta Lake, and Lakehouse

Product type Book
Published in Oct 2021
Publisher Packt
ISBN-13 9781801077743
Pages 480 pages
Edition 1st Edition
Languages
Author (1):
Manoj Kukreja Manoj Kukreja
Profile icon Manoj Kukreja

Table of Contents (17) Chapters

Preface 1. Section 1: Modern Data Engineering and Tools
2. Chapter 1: The Story of Data Engineering and Analytics 3. Chapter 2: Discovering Storage and Compute Data Lakes 4. Chapter 3: Data Engineering on Microsoft Azure 5. Section 2: Data Pipelines and Stages of Data Engineering
6. Chapter 4: Understanding Data Pipelines 7. Chapter 5: Data Collection Stage – The Bronze Layer 8. Chapter 6: Understanding Delta Lake 9. Chapter 7: Data Curation Stage – The Silver Layer 10. Chapter 8: Data Aggregation Stage – The Gold Layer 11. Section 3: Data Engineering Challenges and Effective Deployment Strategies
12. Chapter 9: Deploying and Monitoring Pipelines in Production 13. Chapter 10: Solving Data Engineering Challenges 14. Chapter 11: Infrastructure Provisioning 15. Chapter 12: Continuous Integration and Deployment (CI/CD) of Data Pipelines 16. Other Books You May Enjoy

The need to aggregate data

Before we deep dive into how to aggregate data and build the gold layer of the Electroniz lakehouse, we should quickly remind ourselves why we're building the lakehouse in the first place. During the discovery phase, Electroniz had put forth some key business requirements, as follows:

  • They want to aim for a near-real-time sales analytics platform that can serve their customer needs faster and better.
  • They want to streamline their advertising budgets through intelligent analytics based on the number of user hits on their e-commerce website.
  • They want to decrease customer dissatisfaction because of interruptions in fulfilling orders due to inventory shortages.

Thus far, we have been able to identify, collect, and curate data from a variety of sources to help us perform intelligent decision-making using modern analytics. At this point, we have data in the silver layer that represents the state of the data that has been standardized...

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