Data Observability for Databricks

Acceldata's integration with Databricks offers comprehensive operational observability for Apache Spark deployments, improving data quality and reliability at scale. The integration allows users to monitor their clusters and job performance, debug issues, perform root cause analysis (RCA) for failures, and enhance data reliability using Torch for Delta Lake. Deploying Acceldata involves installing an agent into Databricks, which hooks into Spark internals. Users can then understand their cluster and applications, monitor costs, debug applications, use alerts and logs to dig deeper into issues, and implement data reliability for Delta Lake.