Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain trends, and present findings clearly across business, finance, product, and ...

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Five years ago, Databricks coined the term 'data lakehouse' to describe a new type of data architecture that combines a data lake with a data warehouse. That term and data architecture are now ...

Fix for the Pandas to_sql() dataframe method that fails when we try pushing more than 255 values to a Databricks table. I also changed the way the source dataframe gets broken up into chunks, since I ...

This was originally posted in dbt-databricks project and I was asked to cross post i here. Related to: databricks/dbt-databricks#1246 When running dbt in an Azure Devops Agent (for continues ...

Medior Data Engineer - Databricks & Lakehouse Platform (Cloud) ...