One way to keep your accounts receivable information current in real time on Databricks, with the change semantics written into the pipeline definition instead of reconstructed by whoever reads the table. Here is how the data product behind it is str...
Infra keeps getting faster, but the fix for a slow notebook is usually a config line, not a bigger cluster.One Spark Config, 32 Minutes Saved: Replacing MERGE with Dynamic Partition OverwriteBy @Phani_sannala , co-authored with @sridharplv Our gold n...
The zombie row bug is the real argument here reframing this from "MERGE is slow" to "MERGE is silently wrong for full-slice delivery" is what makes it land. Only thing I'd stress: dynamic partition overwrite is exactly as safe as your completeness ch...
Part 3 of my series on building an enterprise data platform on Databricks is up - this one cover Gold layer design.The short version: Gold isn't just aggregated Silver. Silver maps to your source system. Gold maps to the business questions your consu...
Part 1 of a 5-part series on building an enterprise data platform on Databricks.When migrating a large retail conglomerate's SAP HANA platform to Databricks, we needed both historicalcompleteness and near-real-time freshness from day one.That require...
