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
