Table of Contents

Choosing the Optimal Method for Loading Data to Synapse

Creating Robust Data Pipelines and Data Transformation

Processing Data Optimally across Multiple Nodes

Engineering Real-time Analytics with Azure Synapse Link Using Cosmos DB

Data Transformation and Processing with Synapse Notebooks

Enriching Data Using the Azure ML AutoML Regression Model

Visualizing and Reporting Petabytes of Data

Data Cataloging and Governance

MPP Platform Migration to Synapse

About the Author

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.
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.