Building Your Data Analytics Team - live RunAs Radio episode
summary
Panelists map concrete roles — data modeler, data engineer, analyst and architect — to specific tasks: modeling, ingestion (Power Query/SSIS/Data Factory), processing (Databricks/Snowflake), serving (Power BI) and governance. They report a common pattern: start with small pilots, prove value on a subset, then expand — one project moves a small working dataset into a SQL farm and wins budget for a VM host. Persistent problems are poor data quality, missing data catalog/lineage, inexperienced hires and failed lift and shift migrations that blow cost and performance.
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chapters (9)
- 0:00RunAs Radio live at SQLBits
- 1:26Building data analytics teams
- 5:16Data engineering vs analytics roles
- 11:36Tooling for data teams
- 25:02Cloud data warehousing experiments
- 31:20Budgeting data initiatives
- 39:46Data governance importance
- 43:57Skills to find in candidates
- 50:15Closing remarks
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