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Azure Synapse Analytics Cookbook

You're reading from   Azure Synapse Analytics Cookbook Implement a limitless analytical platform using effective recipes for Azure Synapse

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781803231501
Length 238 pages
Edition 1st Edition
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Authors (2):
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Gaurav Agarwal(BLR) Gaurav Agarwal(BLR)
Author Profile Icon Gaurav Agarwal(BLR)
Gaurav Agarwal(BLR)
Meenakshi Muralidharan Meenakshi Muralidharan
Author Profile Icon Meenakshi Muralidharan
Meenakshi Muralidharan
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Table of Contents (11) Chapters Close

Preface 1. Chapter 1: Choosing the Optimal Method for Loading Data to Synapse 2. Chapter 2: Creating Robust Data Pipelines and Data Transformation FREE CHAPTER 3. Chapter 3: Processing Data Optimally across Multiple Nodes 4. Chapter 4: Engineering Real-Time Analytics with Azure Synapse Link Using Cosmos DB 5. Chapter 5: Data Transformation and Processing with Synapse Notebooks 6. Chapter 6: Enriching Data Using the Azure ML AutoML Regression Model 7. Chapter 7: Visualizing and Reporting Petabytes of Data 8. Chapter 8: Data Cataloging and Governance 9. Chapter 9: MPP Platform Migration to Synapse 10. Other Books You May Enjoy

Optimizing analytics with dedicated SQL pool and working on data distribution

In this section, we will understand the in-depth details of dedicated SQL pool for optimizing analytics on a larger dataset. We need to understand the basics of column storage; know when to use round robin, hash distribution, and replicated data distributions; know when to partition a table and check for data skew and space usage; know the best practices and how to effectively use workload management for dedicated SQL pool.

Understanding columnstore storage details

A columnar store is logically organized as a table with rows and columns. It is physically stored in a column-wise data format. Generally, a rowgroup (group of rows) is compressed in columnar store format. A rowgroup consists of the maximum number of rows per rowgroup. The columnstore index slices the table into rowgroups and then compresses the rowgroups column-wise.

A clustered columnstore index is the primary storage for the entire...

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