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Azure Databricks Cookbook

You're reading from Azure Databricks Cookbook

Product type Book

Published in Sep 2021

Publisher Packt

ISBN-13 9781789809718

Pages 452 pages

Edition 1st Edition

Languages

Concepts

Authors (2):

Phani Raj

Vinod Jaiswal

View More author details

Table of Contents (12) Chapters

Preface

1. Chapter 1: Creating an Azure Databricks Service

2. Chapter 2: Reading and Writing Data from and to Various Azure Services and File Formats

3. Chapter 3: Understanding Spark Query Execution

4. Chapter 4: Working with Streaming Data

5. Chapter 5: Integrating with Azure Key Vault, App Configuration, and Log Analytics

6. Chapter 6: Exploring Delta Lake in Azure Databricks

7. Chapter 7: Implementing Near-Real-Time Analytics and Building a Modern Data Warehouse

8. Chapter 8: Databricks SQL

9. Chapter 9: DevOps Integrations and Implementing CI/CD for Azure Databricks

10. Chapter 10: Understanding Security and Monitoring in Azure Databricks

11. Other Books You May Enjoy

Understanding the scenario for an end-to-end (E2E) solution

In this recipe, you will learn about an E2E solution that you will be building in this chapter. We will look at various components used in the solution and the data warehouse model that we will be creating in a Synapse dedicated pool.

Getting ready

You need to ensure you read the following chapters before starting on this recipe if you are new to Azure Databricks:

Chapter 2, Reading and Writing Data from and to Various Azure Services and File Formats
Chapter 4, Working with Streaming Data
Chapter 6, Exploring Delta Lake in Azure Databricks

Also, you will need to have a basic understanding of facts and dimension tables in a data warehouse.

How to do it…

In this section, you will understand an E2E data pipeline scenario along with the modern data warehouse model that will be created as part of the solution. The following points list down all the stages of the data pipeline, right from...

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Authors (2)

Phani Raj

Phani Raj is an experienced data architect and a product manager having 15 years of experience working with customers on building data platforms on both on-prem and on cloud. Worked on designing and implementing large scale big data solutions for customers on different verticals. His passion for continuous learning and adapting to the dynamic nature of technology underscores his role as a trusted advisor in the realm of data architecture ,data science and product management.

See other products by Phani Raj

Vinod Jaiswal

Vinod Jaiswal is an experienced data engineer, excels in transforming raw data into valuable insights. With over 8 years in Databricks, he designs and implements data pipelines, optimizes workflows, and crafts scalable solutions for intricate data challenges. Collaborating seamlessly with diverse teams, Vinod empowers them with tools and expertise to leverage data effectively. His dedication to staying updated on the latest data engineering trends ensures cutting-edge, robust solutions. Apart from technical prowess, Vinod is a proficient educator. Through presentations and mentoring, he shares his expertise, enabling others to harness the power of data within the Databricks ecosystem.

See other products by Vinod Jaiswal

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