Nokia and Databricks have completed a unified, substrate-agnostic data platform test aimed to support AI-driven autonomous ...

Nokia and Databricks have completed a joint trial in which they tested a unified data platform for autonomous telecom ...

Press Release Nokia, Databricks demonstrate unified data platform for autonomous networks . Proof of concept validates cloud-agnostic approach for network operators to scale AI-dr ...

ZoomInfo's verified company, contact, and signal data now flows natively into the Databricks lakehouse through GTM.AI, so every model, score, ...

A licensed attorney with nearly a decade of experience in content production, Valerie Catalano knows how to help readers digest complicated information about the law in an approachable way. Her ...

Press ReleaseNokia, Databricks demonstrate unified data platform for autonomous networks Proof of concept validates cloud-agnostic approach for network operators to scale AI-driven operations, deploy ...

Building a RAG system can be challenging. In addition to deployment and infrastructure challenges (eg, scaling up your vector db), there are many tradeoffs and decisions to make for each component of ...

An open-source Python library for simplifying local testing of Databricks workflows using PySpark and Delta tables. This library enables seamless testing of PySpark processing logic outside Databricks ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...

As a Data Engineer, I don’t often work directly with ML or LLMs in my day-to-day tasks—but that’s starting to change. With the rise of AI-assisted tooling, we now have the opportunity to make many of ...

The data industry has arrived at a pivotal juncture that echoes the themes we’ve charted in previous Breaking Analysis episodes, from The Sixth Data Platform through The Yellow Brick Road to Agentic ...

In Databricks, data is typically managed within tables, where columns can be defined using various Spark data types (e.g., StringType, FloatType, IntegerType, etc.). When working with Spark, you can ...