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Databricks ML in Action

You're reading from   Databricks ML in Action Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781800564893
Length 280 pages
Edition 1st Edition
Languages
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Authors (4):
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Hayley Horn Hayley Horn
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Hayley Horn
Amanda Baker Amanda Baker
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Amanda Baker
Anastasia Prokaieva Anastasia Prokaieva
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Anastasia Prokaieva
Stephanie Rivera Stephanie Rivera
Author Profile Icon Stephanie Rivera
Stephanie Rivera
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Toc

Table of Contents (13) Chapters Close

Preface 1. Part 1: Overview of the Databricks Unified Data Intelligence Platform FREE CHAPTER
2. Chapter 1: Getting Started and Lakehouse Concepts 3. Chapter 2: Designing Databricks: Day One 4. Chapter 3: Building the Bronze Layer 5. Part 2: Heavily Project Focused
6. Chapter 4: Getting to Know Your Data 7. Chapter 5: Feature Engineering on Databricks 8. Chapter 6: Tools for Model Training and Experimenting 9. Chapter 7: Productionizing ML on Databricks 10. Chapter 8: Monitoring, Evaluating, and More 11. Index 12. Other Books You May Enjoy

Building Out Our Bronze Layer

“Data is a precious thing and will last longer than the systems themselves.”

– Tim Berners-Lee, generally credited as the inventor of the World Wide Web

In this chapter, you’ll embark on the beginning of your data journey in the Databricks platform, exploring the fundamentals of the Bronze layer. We recommend employing the Medallion design pattern within the lake house architecture (as described in Chapter 2) to organize your data. We’ll start with Auto Loader, which you can implement with or without Delta Live Tables (DLT) to insert and transform data in your architecture. The benefits of using Auto Loader include quickly transforming new data into the Delta format and enforcing or evolving schemas, which are essential for maintaining consistent data delivery to the business and customers. As a data scientist, strive for efficiency in building your data pipelines and ensuring your data is ready for the steps in...

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