Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

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

Summary

This chapter covered a wide range of setup decisions, options, and processes for planning your Data Intelligence Platform. We took you through an overview of the main components of the DI Platform, from early design choices to important features that we will dive into further in upcoming chapters. You also learned how to set up your workspace and project code base. We hope you feel more comfortable with the basics of the platform. With Databricks ready and the project data downloaded, we are now ready to get into what it means to build out the Bronze data layer.

In Chapter 3, we cover the essentials of building out the Bronze data layer within the Databricks Intelligence Platform. We will format our data into the most optimized format, learn about schema evolution, change data capture using Delta, and more.

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime