ALL COVERED TOPICS

NoSQL Benchmarks NoSQL use cases NoSQL Videos NoSQL Hybrid Solutions NoSQL Presentations Big Data Hadoop MapReduce Pig Hive Flume Oozie Sqoop HDFS ZooKeeper Cascading Cascalog BigTable Cassandra HBase Hypertable Couchbase CouchDB MongoDB OrientDB RavenDB Jackrabbit Terrastore Amazon DynamoDB Redis Riak Project Voldemort Tokyo Cabinet Kyoto Cabinet memcached Amazon SimpleDB Datomic MemcacheDB M/DB GT.M Amazon Dynamo Dynomite Mnesia Yahoo! PNUTS/Sherpa Neo4j InfoGrid Sones GraphDB InfiniteGraph AllegroGraph MarkLogic Clustrix CouchDB Case Studies MongoDB Case Studies NoSQL at Adobe NoSQL at Facebook NoSQL at Twitter

NAVIGATE MAIN CATEGORIES

Close

Garth Gibson About HPC and Big Data Applications

Garth Gibson[1] discusses the similaritis and differences between HPC and big data applications in terms of scale of data and challenges.

Most of the time I take filesystems for granted. But that’s exactly what NoSQL database are not doing. Just as a quick example, Basho has designed a special backend for Riak whose main focus is minimizing disk access in order to provide consistent performance.


  1. Garth Gibson: principal contribution to computing was developing the RAID taxonomy of redundant data storage systems, along with David A. Patterson and Randy Katz.
     

Original title and link: Garth Gibson About HPV and Big Data Applications (NoSQL database©myNoSQL)