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Analytics Engineer = A BI Engineer who uses dbt
Data Mesh = We tried an EDW and it was taking too long so we went back to the siloed data approach but now we opened it up to the entire company
Data Quality Monitoring = A bunch of automated SQL statements
Low Code/No Code = Click, click, click, shoot how do I configure the underlying environment. Forget it, I am going back to Python
Self Service Analytics = Self-service after a data engineer or BIE spends 3 hours writing the query
Modern Data Stack = Everything is SQL now, No more excel
Source Of Truth = I used to trust this, until I learned about Truth V2
Reverse ETL = LTE
Data Lineage = Some unmaintained tool that was accurate once
Data Warehouse = it's just an analytical database where you can drop all your data randomly and maybe spend some years later to try to model them
BI For BI Teams = Analyzing your analysis tools
Democratizing Data = Let's give everyone access and see how many competing narratives we can get from the same data
Data Observability = Oh look we can parse Snowflake logs
Data Scientist = a Schrodinger's cat of: an analyst, or a Stats PhD
Lakehouse = We couldn't setup a Data Lake so we salvaged whatever we could and told our users it looks now like the previous DWH.
Data Lake = File server we just dump all our files in.
Special thanks to mehdio, Galen B, Ethan, Lauren and several others who all played a vital role in crystallizing these concepts.
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