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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

Product type Paperback

Published in Apr 2022

Publisher Packt

ISBN-13 9781803231501

Length 238 pages

Edition 1st Edition

Languages

PySpark

Tools

Azure

Concepts

Data Science

Authors (2):

Gaurav Agarwal(BLR)

Meenakshi Muralidharan

View More author details

Table of Contents (11) Chapters

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

Chapter 7: Visualizing and Reporting Petabytes of Data

In this chapter, we will cover how to visualize data and create reports using Power BI. You will be learning how to develop reports within a Synapse workspace and link Power BI to an existing dataset.

You will also learn something very interesting – how to integrate existing Power BI reports into the Synapse workspace and visualize the data in the same place without any difficulty.

Apart from this, you will also learn performance best practices for developing your Power BI reports with a very large dataset.

We will be covering the following recipes:

Combining Power BI and a serverless SQL pool
Working on a composite model
Using materialized views to improve performance

The rest of the chapter is locked

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Authors (2)

Agarwal(BLR)

Agarwal(BLR)

Gaurav Agarwal is a cloud solution architect at Microsoft India Corp. Ltd, working closely with Microsoft clients on Azure data and AI, Azure ML, big data, IoT, and Power BI. He has extensive experience in architecting and transforming data solutions for the modern cloud, and expertise in building large-scale enterprise data warehouse solutions.

See other products by Agarwal(BLR)

Muralidharan

Muralidharan

Meenakshi Muralidharan leads modern data platforms and is a renowned chief architect for an Indian multinational information technology services and consulting company. She has extensive experience in building large scale data platforms and applications in Microsoft Azure.

See other products by Muralidharan

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