Book Content
chapters • 13h48m total length
1. Introduction to Azure Databricks core concepts
2. Creating an Azure Databricks workspace
3. Creating an ETL with Databricks
4. Delta Lake with Databricks
5. Introducing Delta Engine
6. Structured Streaming
7. Azure Databricks integration with Popular Python Libraries
8. Databricks Runtime for Machine Learning
9. Databricks Runtime for Deep Learning
10. Model tuning, deployment and control Using DataBricks AutoML
11. MLFlow on Azure Databricks
12. Distributed Deep Learning with Horovod














