The AnalysisException you're seeing in the Databricks Community Edition is almost always caused by a mismatch between the JSON file format and Spark’s default reader.By default, Spark expects JSON Lines (one JSON object per line). If your file is a s...
To build reusable data engineering components in Databricks, focus on modular design by creating testable Python/Scala libraries instead of relying on %run notebooks. Parameterize all notebooks using widgets for dynamic execution across environments....
Currently, DLT doesn’t natively support applying expectations or conditional logic based on aggregate metrics like row count within a single pipeline step. That’s why `dlt.expect_or_fail` and trying to count rows within DLT tables doesn’t work as exp...
Ensuring annotation quality at scale is always a challenge! Here’s what’s worked for my teams:Clear guidelines: We invest time in detailed instructions and regular annotator training to avoid ambiguity.Hybrid approach: We use automated tools for high...
