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

Short Intro to Flume

The Flume ☞ user guide is 70 screen long, so use these slides and the Flume and Scribe comparison as short intros:

Notes:

  • What problems are solved by Flume?
  • data collection in all formats
  • flexible reliability guarantees allowing careful performance tunning
  • quick iteration on new collection strategies
  • Flume is build around teh concept of flows corresponding to a type of data source and composed from chained nodes
  • A Flume node receives data from a source, optionally processes it using 1 or more decorators and outputs it via a sink
  • Nodes receiving data are called agents, nodes writing data are called collectors

Original title and link for this post: Short Intro to Flume (published on the NoSQL blog: myNoSQL)