An edition of Distributed data systems with Azure Databricks
(2021)
Distributed data systems with Azure Databricks
by Alan Bernardo Palacio
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This book is for software engineers, ML engineers, data scientists, and data managers who are new to Azure Databricks and who want to build high-quality data pipelines without worrying about infa-structures. Knowledge of the basics of Azure Databricks is required to learn the concepts covered in this book more effectively. A basic understanding of ML concepts and beginner-level Python programming knowledge is also recommended
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Data Warehousing, Microsoft Azure, Computer platforms| Edition | Availability |
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Book Details
Table of Contents
Chapter 1. Introduction to Azure Data Bricks
Chapter 2. Creating an Azure Data Bricks Workspace
Chapter 3. Creating ETL Operations with Azure Data Bricks
Chapter 4. Delta Lake with Azure Data Bricks
Chapter 5. Introducing Delta Engine
Chapter 6. Introducing Structured Streaming
Chapter 7. Using Python Libraries in Azure Data Bricks
Chapter 8. Data Bricks Runtime for Machine Learning
Chapter 9. Data Bricks Runtime for Deep Learning
Chapter 10. Model Tracking and Tuning in Azure Data Bricks
Chapter 11. Managing and Serving Models with MLflow and MLeap
Chapter 12. Distributed Deep Learning in Azure Data bricks
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- Created October 19, 2021
- 4 revisions
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| September 18, 2024 | Edited by ImportBot | import existing book |
| October 24, 2021 | Edited by 75browser | Added new cover |
| October 19, 2021 | Edited by 75browser | Edited without comment. |
| October 19, 2021 | Created by 75browser | Added new book. |