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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
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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

Exploring data with Databricks Assistant

Databricks Assistant is a feature designed to boost your productivity in Databricks. It has many capabilities, including generating SQL from English, explaining code, helping troubleshoot errors, and optimizing code. Databricks Assistant is an exciting feature to watch as more capabilities emerge, and we want to give you a taste of the possibilities. Since this chapter is about exploring and monitoring data, let’s see how you can use Databricks Assistant as a low-code solution to explore your data. Suppose you are analyzing the Favorita Sales Forecasting data. You are looking to uncover insights into retail store distributions across various regions. You have a specific query in mind: you want to understand the store landscape in the Guayas region. However, SQL queries aren’t your strong suit, and maybe crafting the perfect query seems daunting. In order to explore your data regardless, you can use Databricks Assistant. There is...

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