While other AI startups have started the IPO process this year, Databricks is looking toward its next funding round.

Nvidia has a structured data enablement strategy. Nvidia provides libaries, software and hardware to index and search data faster. The Indexing and retrievals are way faster 10-40X faster in most ...

Managing a modern enterprise data landscape in 2026 is a lot like running a high-speed, global railway network. You have massive freight trains of legacy data leaving on-premise servers in Mumbai, ...

This workshop covers the fundamentals of Apache Spark, the most popular big data processing engine. In this workshop, you will learn how to ingest data with Spark, analyze the Spark UI, and gain a ...

Data lakes are essential parts of AI infrastructure, allowing companies to manage and store data on a scale necessary to fuel data-intensive AI models This week's list shines a light on the companies ...

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 ...

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 ...

Apache Iceberg's table format is ideal for large data lakes and integrates easily with Spark, Flink, Hive, Presto, and more. Utilize Apache Iceberg to efficiently manage large data lakes at Netflix.

With the vast amount of data generated by the world, the need for an efficient and accurate platform and tool to manage, analyze, and extract value from data is increasing. In 2025, many companies ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...