Press ReleaseNokia, Databricks demonstrate unified data platform for autonomous networks Proof of concept validates cloud-agnostic approach for ...

Databricks is pitching a fix for what it sees as the growing operations mess in enterprise AI. With the launch of Genie ...

Imagine you work at a company that stores all its data — sales numbers, inventory, customer records, operational logs — in a massive, secure data warehouse. Traditionally, anyone who wanted answers ...

Databricks CEO Ali Ghodsi said as much in his keynote at Data + AI Summit 2026. However, the essence of this event is not an abstract debate about whether AGI has arrived. What is truly important is ...

DeepSeek open-sourced DSpark, a speculative decoding framework that attaches a draft module to existing DeepSeek-V4 weights. It pairs a parallel draft backbone with a lightweight Markov head to cut ...

The AI industry has entered the Agentic Era. Building production-grade AI systems now requires mastering agents, tool use, MCP, memory, long-running workflows, coding agents, agent harnesses, evals, ...

SQL helps me: • Query and analyze data efficiently • Transform datasets using declarative logic • Understand how data flows through pipelines • Work with Spark SQL and Delta tables Python helps me: • ...

Azure Data Lake Storage Gen2 is where modern data platforms land their processed data. Parquet is the default format for analytical workloads because it is columnar, compressed, and supports complex ...

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