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In this video from the OpenFabrics Workshop, Yuval Degani from Mellanox presents: Accelerating Apache Spark with RDMA. “Apache Spark is today’s fastest growing Big Data analysis platform. Spark ...
Apache Spark™’s ability to speed analytic applications by orders of magnitude, its versatility, and ease of use are quickly winning the market. With Spark’s appeal to developers, end users, and ...
Apache Ignite™ and GridGain® provide the most extensive in-memory data management and acceleration for Spark. Ignite is an open source in-memory computing platform that provides an in-memory data grid ...
The open source project .NET for Apache Spark has debuted in version 1.0, finally vaulting the C# and F# programming languages into Big Data first-class citizenship. Spearheaded by Microsoft and the ...
At the heart of Apache Spark is the concept of the Resilient Distributed Dataset (RDD), a programming abstraction that represents an immutable collection of objects that can be split across a ...
As the most active open-source project in the big data community, Apache SparkTM has become the de-facto standard for big data processing and analytics. Spark’s ease of use, versatility, and speed has ...
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 ...
Now in public preview, Snowpark Connect promises to reduce latency and complexity by moving analytics workloads where the data is. Snowflake is preparing to run Apache Spark analytics workloads ...
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