EMC-VMware spinoff Pivotal is putting its money behind Tachyon, an in-memory distributed file system developed by the same research lab that created Apache Spark. The goal is to improve the company’s “data lake” strategy by giving applications a faster way to access and share data.
Computer scientists at the University of California, Berkeley, are joining the fight for open source chips with an instruction set architecture called RISC-V. They view it as a true open source project that can empower smaller companies and even researchers to innovate on chip design.
AMPLab, the University of California, Berkeley, research group responsible for making Spark a household name in big data, has a lot more tricks up its sleeve. They range from databases to machine learning, and even include tools that could help treat cancer.
A team of professors behind the open source Spark and Shark in-memory big data projects has raised $13.9 million to commercialize the products via a company called Databricks. Spark and Shark are designed to be much faster and more flexible than Hadoop MapReduce and Hive.
Hadoop not fast enough for you? Then you might want to get to know AMPLab, a University of California, Berkeley team developing faster versions of many core Hadoop components.