Book Content
chapters • 7h56m total length
1. Choosing the Optimal Method for Loading Data to Synapse
2. Creating Robust Data Pipelines and Data Transformation
3. Processing Data Optimally across Multiple Nodes
4. Engineering Real-time Analytics with Azure Synapse Link Using Cosmos DB
5. Data Transformation and Processing with Synapse Notebooks
6. Enriching Data Using the Azure ML AutoML Regression Model
7. Visualizing and Reporting Petabytes of Data
8. Data Cataloging and Governance
9. MPP Platform Migration to Synapse














