Mastering Databricks Lakehouse Platform
eBook - ePub

Mastering Databricks Lakehouse Platform

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  1. 332 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Mastering Databricks Lakehouse Platform

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About this book

Starting with the fundamentals of the databricks lakehouse platform, the book teaches readers on administering various data operations, including Machine Learning, DevOps, Data Warehousing, and BI on the single platform.The subsequent chapters discuss working around data pipelines utilizing the databricks lakehouse platform with data processing and audit quality framework. The book teaches to leverage the Databricks Lakehouse platform to develop delta live tables, streamline ETL/ELT operations, and administer data sharing and orchestration. The book explores how to schedule and manage jobs through the Databricks notebook UI and the Jobs API. The book discusses how to implement DevOps methods on the Databricks Lakehouse platform for data and AI workloads. The book helps readers prepare and process data and standardizes the entire ML lifecycle, right from experimentation to production. The book doesn't just stop here; instead, it teaches how to directly query data lake with your favourite BI tools like Power BI, Tableau, or Qlik. Some of the best industry practices on building data engineering solutions are also demonstrated towards the end of the book.

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Information

Table of contents

  1. Cover Page
  2. Title Page
  3. Copyright Page
  4. Dedication Page
  5. About the Authors
  6. About the Reviewer
  7. Acknowledgement
  8. Preface
  9. Errata
  10. Table of Contents
  11. 1. Getting Started with Databricks Platform
  12. 2. Management of Databricks Platform
  13. 3. Spark, Databricks, and Building a Data Quality Framework
  14. 4. Data Sharing and Orchestration with Databricks
  15. 5. Simplified ETL with Delta Live Tables
  16. 6. SCD Type 2 Implementation with Delta Lake
  17. 7. Machine Learning Model Management with Databricks
  18. 8. Continuous Integration and Delivery with Databricks
  19. 9. Visualization with Databricks
  20. 10. Best Security and Compliance Practices of Databricks
  21. Index