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Optimizing Databricks Workloads

You're reading from   Optimizing Databricks Workloads Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads

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Product type Paperback
Published in Dec 2021
Publisher Packt
ISBN-13 9781801819077
Length 230 pages
Edition 1st Edition
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Authors (3):
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Anshul Bhatnagar Anshul Bhatnagar
Author Profile Icon Anshul Bhatnagar
Anshul Bhatnagar
Sarthak Sarbahi Sarthak Sarbahi
Author Profile Icon Sarthak Sarbahi
Sarthak Sarbahi
Anirudh Kala Anirudh Kala
Author Profile Icon Anirudh Kala
Anirudh Kala
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Toc

Table of Contents (13) Chapters Close

Preface 1. Section 1: Introduction to Azure Databricks
2. Chapter 1: Discovering Databricks FREE CHAPTER 3. Chapter 2: Batch and Real-Time Processing in Databricks 4. Chapter 3: Learning about Machine Learning and Graph Processing in Databricks 5. Section 2: Optimization Techniques
6. Chapter 4: Managing Spark Clusters 7. Chapter 5: Big Data Analytics 8. Chapter 6: Databricks Delta Lake 9. Chapter 7: Spark Core 10. Section 3: Real-World Scenarios
11. Chapter 8: Case Studies 12. Other Books You May Enjoy

Mounting Azure Data Lake in Databricks

Azure Data Lake (storage account) is a limitless data lake service managed by Microsoft. It allows the storage and analysis of big data of all forms: structured, semi-structured, and unstructured. It is built to accommodate big data analytics by integrating with Hadoop and Spark. We will be using Azure Data Lake quite often in this book. So, it is important for us to learn its integration with Azure Databricks.

Creating an Azure Data Lake instance

Now, we will create an Azure Data Lake instance and use it as our primary data store in the Azure environment:

  1. Go to Azure's website (portal.azure.com) and sign in to the portal. Open an existing resource group, then click on Create and then on Marketplace. Search for Storage account. The following window opens up:

    Figure 2.2 – Creating a storage account in Azure

  2. Click on Create. Set the Resource group, Storage account name, and Region. Set Performance to Standard: Recommended...
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