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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 5: Data Transformation and Processing with Synapse Notebooks

In this chapter, we will cover how to do data processing and transformation with Synapse notebooks. Details on using pandas DataFrames within Synapse notebooks will be covered, which will help us to explore data that is stored as Parquet files in Azure Data Lake Storage (ADLS) Gen2 as a pandas DataFrame and then write it back to ADLS Gen2 as a Parquet file.

We will be covering the following recipes:

Landing data in ADLS Gen2
Exploring data with ADLS Gen2 to pandas DataFrame in Synapse notebook
Processing data from a PySpark notebook within Synapse
Performing read-write operations to a Parquet file using Spark in Synapse
Analytics with Spark

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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