Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Databricks and Hugging Face have collaborated to introduce a new feature ...
Today to kick off Spark Summit, Databricks announced a Serverless Platform for Apache Spark — welcome news for developers looking to reduce time spent on cluster management. The move to simplify ...
The cloud-hosted environment, described by Databricks as being deployed by more than 150 firms, aims to simplify the use of the open-source cluster compute engine and cut the time spent developing, ...
SAN FRANCISCO, March 06, 2018 (GLOBE NEWSWIRE) -- Databricks, provider of the leading Unified Analytics Platform and founded by the team who created Apache Spark™, today announced the availability of ...
What I'd like to cover here goes beyond those AI headlines, however, and involves a special nugget just for folks doing data engineering, analytics and machine learning work with Apache Spark.
eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Databricks, the company founded by the team that created ...
At its Data + AI Summit, Databricks today made the requisite number of announcements one would expect from a company’s flagship developer event. Among those are the launch of Delta Lake 2.0, the next ...
The immensely popular open-source cluster computing framework Apache Spark has just reached version 2.0, according to an announcement by the Apache Software Foundation (ASF) yesterday. Spark’s ...
Invented eight years ago and intensively commercialized over the past several years, Apache Spark has become a core power tool for data scientists and other developers working sophisticated projects ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
On Monday, IBM announced it will invest about $300 million over the next few years and assign 3,500 people to help develop an up-and-coming technology known as Spark. IBM called Spark "the most ...
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