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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

Opening a free account with Microsoft Azure

In the upcoming chapters, we will be using the services you have just been reading about to build a data lake using the lakehouse architecture. Therefore, it is time to open a free Azure account that gives you 12 months of free services, plus a one-time $260 credit. Please note that not all – but most – services are free. To open a free account and browse through the free services, please visit the following link: https://azure.microsoft.com/en-ca/free/.

Here is some valuable advice:

  • It is always a good idea to remove the compute resources once you've used them.
  • You get 5 GB of locally redundant data (LRS) data for free. There is no need to remove data that's stored during future exercises since we will not be exceeding this limit.
  • While using the free services in Azure, please keep a strict eye on your billing using the following link: https://portal.azure.com/#blade/Microsoft_Azure_Billing/BillingMenuBlade...
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