In between meeting with customers, crowdchatting with our communities and hosting theCUBE, the research team at Wikibon, owned by the same company as SiliconANGLE, finds time to meet and discuss tre ...

The file system is what divides the big data files, and the programming model divides an algorithm into pieces, which can then run on the data blocks in a distributed fashion.

Or, this data stored in any [file system] can be analyzed by any computation framework.” In that sense, Alluxio breaks the grip that MapReduce has on HDFS. The file system can not only expose ...

The course covers principles of distributed processing systems for big data, including distributed file systems (such as Hadoop); distributed computation models (such as MapReduce); resilient ...

The heart of big data analytics and indeed AI involves high volumes of raw data stored as flat (delimited, JSON, XML, etc.) files. That makes the file system itself critical in operationalizing ...

In today’s data landscape, a distributed architecture is driven by the need for real-time insights, compliance, and the scalability provided by cloud computing, with organizations increasingly ...

Big-data platform provider WekaIO Inc. said today it has closed on a hefty $135 million late-stage funding round led by Generation Investment Management, doubling its valuation in the process.

Nvidia GPUs for data science, analytics, and distributed machine learning using Python with Dask Open source Python library Dask is the key to this. Written by George Anadiotis, Contributor March ...

The course covers basic principles of systems for distributed processing of big data including distributed file systems; distributed computation models such as Mapreduce, resilient distributed ...