Analysts can no longer sit idly by and fix their data in the visualization layer or wait on tech teams to build a better pipeline. The analytics engineering movement will take back control over data quality and insights. (View Highlight)
A few key trends are converging:
The shift from ETL to ELT means folks who know SQL have the power to transform and clean data once it arrives in the warehouse. Data warehouses are powerful enough to handle the transformation workload
Tools like dbt enable analysts with SQL-based workflows and enable them to work like software engineers do.
Data consumers have come to simply expect data at their fingertips yet at all times.
Organizations (large and small) are recognizing the need to invest more resources in data modeling. (View Highlight)
Note: ETL to ELT
SQL glue w/ dbt
Instant data access
Increased organizational investment
