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Azure Synapse Analytics Cookbook

Azure Synapse Analytics Cookbook

By : Agarwal(BLR), Muralidharan
4.7 (18)
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Azure Synapse Analytics Cookbook

Azure Synapse Analytics Cookbook

4.7 (18)
By: Agarwal(BLR), Muralidharan

Overview of this book

As data warehouse management becomes increasingly integral to successful organizations, choosing and running the right solution is more important than ever. Microsoft Azure Synapse is an enterprise-grade, cloud-based data warehousing platform, and this book holds the key to using Synapse to its full potential. If you want the skills and confidence to create a robust enterprise analytical platform, this cookbook is a great place to start. You'll learn and execute enterprise-level deployments on medium-to-large data platforms. Using the step-by-step recipes and accompanying theory covered in this book, you'll understand how to integrate various services with Synapse to make it a robust solution for all your data needs. Whether you're new to Azure Synapse or just getting started, you'll find the instructions you need to solve any problem you may face, including using Azure services for data visualization as well as for artificial intelligence (AI) and machine learning (ML) solutions. By the end of this Azure book, you'll have the skills you need to implement an enterprise-grade analytical platform, enabling your organization to explore and manage heterogeneous data workloads and employ various data integration services to solve real-time industry problems.
Table of Contents (11 chapters)
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Working with the resource consumption model of Synapse SQL

In this section, we will understand the architecture components of Synapse SQL, the definition of analytical storage, and how storage and compute work together to distribute computational processing of data across multiple nodes. Then we will cover the resource consumption model of Synapse SQL, which enables you to choose the right model for your analytical storage and queries.

Architecture components of Synapse SQL

Synapse SQL has two main types of SQL pools for analytical storage:

  • Dedicated SQL
  • Serverless SQL

Dedicated SQL

The Synapse dedicated SQL underlying architecture is node-based. Applications issue T-SQL to a control node, which is considered a single-entry point for Synapse SQL.

The Synapse SQL control node utilizes a massively parallel processing distributed query engine to optimize queries for parallel processing and then splits them into different sets of queries for each compute...

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