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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
Author Profile Icon Hayley Horn
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

Getting Started with This Book and Lakehouse Concepts

“Give me six hours to chop down a tree, and I will spend the first four sharpening the axe.”

– Abraham Lincoln

We will start with a basic overview of how Databrick’s Data Intelligence Platform (DI) is an open platform on a lakehouse architecture and the advantages of this in developing machine learning (ML) applications. For brevity, we will use terms such as Data Intelligence Platform and Databricks interchangeably throughout the book. This chapter will introduce the different projects and associated datasets we’ll use throughout the book. Each project intentionally highlights a function or component of the DI Platform. Use the example projects as hands-on lessons for each platform element we cover. We progress through these projects in the last section of each chapter – namely, applying our learning.

Here is what you will learn in this chapter:

  • The components of the Data...
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