Data EngineeringData Engineering & Architecture
Transition From Data Analyst To Data Engineer
This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. The session shows an analyst how to use notebooks to perform the same actions as Dataflow Gen2. Looking at 4 areas: source, transformation, cleansing, and destination, examples include append/merge query to dataframe joins, text replace functionality, split and concatenate columns, as well as pivot/unpivot, data type changes, and removing duplicates. We will finish off with engine optimizations.
Key takeaways
- ✓ Orchestrate with pipelines or job scheduler
- ➢ Power BI and Fabric addict, blogger, speaker...
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