Apache Spark is a project designed to accelerate Hadoop and other big data applications through the use of an in-memory, clustered data engine. The Apache Foundation describes the Spark project this ...

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, ...

Databricks is enhancing its cloud based platform to strengthen its security, manageability and ease of application development. According to the vendor, the new features securely manage data access ...

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 ...

Two years in the making, Apache Spark 2.0 will officially debut in a few weeks from Databricks Inc., which just released a technical preview so Big Data developers could get their hands on the "shiny ...

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 ...

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 ...

Apache Spark has become the de facto standard for processing data at scale, whether for querying large datasets, training machine learning models to predict future trends, or processing streaming data ...

Databricks Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP. Could it be an affordable alternative for your ...