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Data Engineering with Apache Spark, Delta Lake, and Lakehouse

You're reading from   Data Engineering with Apache Spark, Delta Lake, and Lakehouse Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way

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Product type Paperback
Published in Oct 2021
Publisher Packt
ISBN-13 9781801077743
Length 480 pages
Edition 1st Edition
Languages
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Author (1):
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Manoj Kukreja Manoj Kukreja
Author Profile Icon Manoj Kukreja
Manoj Kukreja
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Table of Contents (17) Chapters Close

Preface 1. Section 1: Modern Data Engineering and Tools
2. Chapter 1: The Story of Data Engineering and Analytics FREE CHAPTER 3. Chapter 2: Discovering Storage and Compute Data Lakes 4. Chapter 3: Data Engineering on Microsoft Azure 5. Section 2: Data Pipelines and Stages of Data Engineering
6. Chapter 4: Understanding Data Pipelines 7. Chapter 5: Data Collection Stage – The Bronze Layer 8. Chapter 6: Understanding Delta Lake 9. Chapter 7: Data Curation Stage – The Silver Layer 10. Chapter 8: Data Aggregation Stage – The Gold Layer 11. Section 3: Data Engineering Challenges and Effective Deployment Strategies
12. Chapter 9: Deploying and Monitoring Pipelines in Production 13. Chapter 10: Solving Data Engineering Challenges 14. Chapter 11: Infrastructure Provisioning 15. Chapter 12: Continuous Integration and Deployment (CI/CD) of Data Pipelines 16. Other Books You May Enjoy

Deploying infrastructure using Azure Resource Manager

Before ARM came into existence in 2014, Azure Service Manager (ASM) was used for infrastructure deployments. However, there were some serious drawbacks with the ASM approach arising due to inter-dependencies of resources. Before deploying resources, you had to carefully understand dependencies and sequence the operations accordingly in scripts.

Thankfully, ARM has taken care of the inter-dependency problem to deploy Azure resources easily, uniformly, and seamlessly. ARM uses resource groups as the logical grouping of cloud assets. Using a resource group ensures a consistent life cycle for resource provisioning, security, and tear-offs. ARM uses resource groups as the single unit of deployment and management.

ARM uses templates to deploy IaC. Once created, these templates become part of an enterprise code repository like other types of application code.

Creating ARM templates

An ARM template is simply a JSON format file...

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