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balajij8
Contributor
since ‎01-22-2026
yesterday

User Stats

  • 75 Posts
  • 6 Solutions
  • 109 Kudos given
  • 35 Kudos received

User Activity

Organizations solved the challenge of collecting, cleaning & governing structured data at scale via Delta Lake and Unity Catalog in Lakehouse. You have world class lineage, permissions, RBAC, ABAC and schemas as the nervous system. The nervous system...
Combining SIGNAL statement with ATOMIC transactions in Databricks saves us from managing commits & rollbacks along with managing custom validations seamlessly - something that modern big data ETL frameworks struggle to deliver cleanly. They give the ...
Databricks introduces multi-table transactions, allowing operations across multiple Delta tables to execute as a single atomic unit. Delta Lake has provided ACID guarantees at the table level, but ensuring atomicity across multiple tables previously ...
Discussed the BI & Metrics Tax elimination using Databricks Metric Views here. Semantic Layer is a core component of the lakehouse with Metric Views. Modern stack is moving toward ai data experiences where organizations ask questions instead of build...
Discussed the BI & Metrics Tax elimination using Databricks Metric Views here. Organizations also face an older more persistent tax — the Ingestion Tax.To ingest data from a source like Salesforce or SQL Server into your Lakehouse, you typically stit...