For large-scale analytics, a distributed file system is kind of important. Even if you’re using Spark you need to pull a lot of data into memory very quickly. Having a file system that supports high ...
This paper provides a high-level overview of how Apache Cassandra™ can be used to replace HDFS, with no programming changes required from a developer perspective, and how a number of compelling ...
NEW YORK--(BUSINESS WIRE)--BlueTalon, a leading provider of data-centric security for Hadoop, SQL and big data environments, today unveiled breakthrough data protection for Hadoop – including the ...
MapR's file system was its original differentiator in the Hadoop market: unlike standard HDFS, which is optimized for reading, and supports writing to a file only once, MapR-FS fully supports the read ...
Facebook deployed Raid in large Hadoop Distributed File System (HDFS) clusters last year, to increase capacity by tens of petabytes, as well as to reduce data replication. But the engineering team ...
Cloud computing is a new technology which comes from distributed computing, parallel computing, grid computing and other computing technologies. In cloud computing, the data storage and computing are ...
Just about a year ago, I first mentioned TidyFS, a new, small distributed file system under development by Microsoft Research. Later this week at the Usenix '11 conference, Microsoft researchers ...
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