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



Using Twitter Storm to analyze the Twitter Stream

Francisco Jordano introduces briefly the concepts and provides some good resources for learnign about Twitter Storm just to present his experiment of using Twitter Storm for analyzing the Twitter (nb: the project is on GitHub ):

Twitter Storm for Twitter Stream

That’s how the information will flow, and the kind of tasks that we will execute. Yes it’s more effective to group some of those tasks, but remember, we just wanted to give this a try ;P

Worth emphasizing is that nowhere in the post is any reference of him having any troubles finding documentation or getting Twitter Storm up and running.

Original title and link: Using Twitter Storm to analyze the Twitter Stream (NoSQL database©myNoSQL)