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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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IoT end-to-end solutions and getting real-time insights

Azure Cosmos DB analytical store allows us to perform near real-time analytics on operational data. It has both transactional and analytical stores. Before Synapse was introduced, it was really hard to get real-time analytics out of Cosmos DB. Before the release of Synapse, we needed to extract and load data in a separate analytics store to build real-time dashboards.

Now, with the introduction of Azure Synapse Link, we can integrate Cosmos DB with Synapse Analytics, serverless SQL pools, and Spark pools, thus leading the way for data analysts to analyze real-time data. Using Spark pools, Synapse, and serverless SQL, BI engineers can create real-time dashboards using Power BI. Data scientists can now use the Cosmos DB analytical store to preprocess data and create models using a Synapse Spark pool and derive critical business insights from data without disturbing the transactional store of Azure Cosmos DB.

The IoT has increased...

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