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Azure Data Engineer Associate Certification Guide

You're reading from   Azure Data Engineer Associate Certification Guide Ace the DP-203 exam with advanced data engineering skills

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781805124689
Length 548 pages
Edition 2nd Edition
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Authors (3):
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Newton Alex Newton Alex
Author Profile Icon Newton Alex
Newton Alex
Giacinto Palmieri Giacinto Palmieri
Author Profile Icon Giacinto Palmieri
Giacinto Palmieri
Mr. Surendra Mettapalli Mr. Surendra Mettapalli
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Mr. Surendra Mettapalli
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Table of Contents (17) Chapters Close

Preface 1. Part 1: Azure Basics FREE CHAPTER
2. Chapter 1: Introducing Azure Basics 3. Part 2: Data Storage
4. Chapter 2: Implementing a Partition Strategy 5. Chapter 3: Designing and Implementing the Data Exploration Layer 6. Part 3:Data Processing
7. Chapter 4: Ingesting and Transforming Data 8. Chapter 5: Developing a Batch Processing Solution 9. Chapter 6: Developing a Stream Processing Solution 10. Chapter 7: Managing Batches and Pipelines 11. Part 4:Secure, Monitor, and Optimize Data Storage and Processing
12. Chapter 8: Implementing Data Security 13. Chapter 9: Monitoring Data Storage and Data Processing 14. Chapter 10: Optimizing and Troubleshooting Data Storage and Data Processing 15. Chapter 11: Accessing the Online Practice Resources 16. Other Books You May Enjoy

Benefits of Partitioning

Pick up a marketing presentation of any cloud service, and you can be sure to see the word “scalability” and (with only slightly weaker certainty) that it will include something about parallelism or parallel execution.

There is some justification for the marketing hype: cloud platforms such as Azure indeed make it much easier to allocate and deallocate new instances of services (not only the VMs that you create explicitly, in the case of Infrastructure-as-a-service (IaaS) but also the VMs that are created for you behind the scenes, in the case of PaaS). In turn, this means that you are offered a great opportunity to optimize your SQL queries, for example, by splitting them into specific tasks that can be executed in parallel.

This brings us to an important and potentially tricky terminological distinction: the difference between partition and distribution strategies. Similar to many other terminological differences, there appears to be a...

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