Spanish-language training and terminology resources are helping professionals bridge cloud computing, data analytics, and workplace communication. Databricks’ data engineering course in Spanish and ...

A GitHub project now offers an Azure Databricks medallion architecture pipeline built with PySpark, Python, and SQL. It processes e-commerce data through Bronze, Silver, and Gold layers, adding ...

The Databricks SQL Connector for Python allows you to develop Python applications that connect to Databricks clusters and SQL warehouses. It is a Thrift-based client with no dependencies on ODBC or ...

The proliferation of AI is changing the nature of cyberattacks, with enterprises exposed to targeted, fast-moving threats. Gaps in governance and guardrails around AI adoption are expanding the attack ...

Databricks is introducing a security information and event management service called Lakewatch. The privately held company sees an opportunity to challenge mature cybersecurity vendors using ...

The launch of Genie Code, analysts say, signals Databricks’ growing ambition to turn its lakehouse platform into the environment where enterprise AI systems build, run, and manage data workflows.

Most enterprise RAG pipelines are optimized for one search behavior. They fail silently on the others. A model trained to synthesize cross-document reports handles constraint-driven entity search ...

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Databricks is having one of those years that most enterprise software companies would quietly envy. The data and AI platform says it has reached a $5.4bn annual revenue run rate, growing 65% year over ...

Databricks Inc. today announced that it has raised more than $7 billion in equity and debt financing to accelerate its growth efforts. The company first disclosed the investment late last year when it ...

Databricks said it raised $5 billion in funding and $2 billion in new debt capacity at a $134 billion valuation. The company also said its annualized revenue exceeded $5.4 billion for the January ...

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 ...