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

James Hamilton on Big Data and Benchmarks

James Hamilton about big data:

Today, at the core of any well run business, is a massive data store –they all have that. The measure of a truly advanced company is the depth of analysis, simulation, and modeling run against this data store.

This sounds quite inline with “the future belongs to the companies and people that turn data into products

And on benchmarks:

Like all benchmarks, it is a good thing in that it removes some of the manufacturer hype but benchmarks always fail to fully characterize all workloads. They abstract performance to a single or small set of metrics which is useful but this summary data can’t faithfully represent all possible workloads.

The rest of the article is focusing on High Performance Computing in the cloud referring to the recent announcement of the Amazon EC2 cluster compute instances.

via: http://perspectives.mvdirona.com/2010/07/13/HighPerformanceComputingHitsTheCloud.aspx