Supercharge Power BI with Azure Synapse Analytics
summary
Argues that Azure Synapse is a configurable toolbox not a monolith and shows pipelines copying three tables into a Data Lake as Parquet, serverless SQL creating views, and a generated Power BI dataset/report that publishes back to the workspace; demo runs end-to-end and completes quickly. Demonstrates time-travel/history via ELT, backfilling six months of missing temporal keys in about an hour, and highlights reverse‑ETL, Spark, and ML as unlocks for large-scale, auditable analytics.
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chapters (10)
- 0:00Introduction and speaker intro
- 3:10Data challenges and Power BI limitations
- 15:40Enchantments Power BI needs
- 23:07What is Azure Synapse Analytics
- 26:17Data Lake and ETL vs ELT
- 31:33Demo loading data into Synapse
- 39:23Processing data with Synapse tools
- 42:31Combining Power BI and Synapse
- 43:57Direct integrations between tools
- 47:51Summary and tool synergies
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