Book Content
chapters • 17h20m total length
1. Balancing the benefits of Data Lakes over Data Warehouses
2. The Modern Data Warehouse and Azure Data Services
3. Understanding the Data Lake Storage Layer
4. Relational Storage components: Synapse SQL Pools, SQL DB, Azure Databases
5. Data integration enterprise grade and even code-free
6. Spark on Azure: Synapse Spark Pools
7. Spark on Azure: Databricks
8. Streaming
9. Azure Cognitive Services / Azure Machine Learning
10. Machine Learning with Spark on Azure: Synapse Spark Pools / Azure Databricks
11. Synapse SQL Pools / Synapse Analytics
12. Analysis Service / Power BI / Data Share
13. Industry Data Models
14. Data Governance














