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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
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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

Monitoring and Updating Statistics

Statistics is an important concept in query optimization. Generating statistics is the process of collecting metadata about your data—such as the number of rows and the size of tables—which can be used as additional inputs by the Structured Query Language (SQL) engine to optimize query plans.

Note

This section primarily focuses on the Monitor and update statistics about data across a system concept of the DP-203: Data Engineering on Microsoft Azure exam.

For example, if two tables have to be joined and one table is exceedingly small, the SQL engine can use this statistical information to pick a query plan that works best for such highly skewed tables. The Synapse SQL pool engine uses something known as Cost-Based Optimizers (CBOs). These optimizers choose the least expensive query plan from a set of query plans that can be generated for a given SQL script.

Now, look at how you can create statistics for both Synapse dedicated...

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