Data analytics contender Databricks offers a platform that, along with the open source Apache Spark technology on which its core is based, has long been a favorite for attacking streaming data, data ...

Databricks today launched what it calls its Lakehouse Federation feature at its Data + AI Summit. Using this new capability, enterprises can bring together their various siloed data systems and ...

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 ...

距离上一轮融资才7个月时间，Databricks的估值已经增加了100亿美元。 美国当地时间8月31日，由 Apache Spark 初始成员创立的大数据初创公司 Databricks 宣布获得 16 亿美元 H 轮融资，新一轮融资由摩根士丹利的 Counterpoint Global 领投，Counterpoint Global 还引入了其他新投资者，包括 Baillie Gifford、Cle ...

The data marketplace and other features are expected to accelerate data engineering tasks with an option for data monetization down the road, Databricks said. Along with open sourcing Delta Lake at ...

Our analysis and end-user discussions continue to demonstrate that a new modern data stack is emerging along with sophisticated data-oriented “personas,” such as data analysts and data scientists.

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 ...

Until now, access to the Databricks platform was primarily limited to engineers and data scientists with SQL or Python skills. Databricks One introduces a completely redesigned interface, simplified ...

First created as part of a research project at UC Berkeley AMPLab, Spark is an open source project in the big data space, built for sophisticated analytics, speed, and ease of use. It unifies critical ...

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with unstructured content, sales figures alongside customer reviews or citation ...