Books & Videos

Table of Contents

  1. Chapter 1 A Historical Perspective

  2. Chapter 2 Introduction to Big Data and Data Science

  3. Chapter 3 The Enterprise Data Lake

  4. Chapter 4 Starting a Data Lake

  5. Chapter 5 Architecting a Data Lake and Fitting It into the Enterprise Data Ecosystem

  6. Chapter 6 Optimizing for Self-Service: Giving Power to the Analysts and Removing IT Bottlenecks

  7. Chapter 7 Governing the Data Lake

  8. Chapter 8 Integrating the Data Lake into the Enterprise

  9. Chapter 9 Evaluating and Choosing Technology Solutions for Processing, Ingestion, Management, and Governance

  10. Chapter 10 Industry-Specific Examples of Successful Data Lakes