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
Tuesday, 5 February 2013
‹ Back

A Guide to Python Frameworks for Hadoop

About:
,
,
,
,

Uri Laserson’s dives into the world of Python frameworks for Hadoop:

So my first order of business was to investigate some of the options that exist for working with Hadoop from Python.

In this post, I will provide an unscientific, ad hoc review of my experiences with some of the Python frameworks that exist for working with Hadoop, including:

  • Hadoop Streaming
  • mrjob
  • dumbo
  • hadoopy
  • pydoop

For easy access, links to these frameworks:

Original title and link: A Guide to Python Frameworks for Hadoop (NoSQL database©myNoSQL)

via: http://blog.cloudera.com/blog/2013/01/a-guide-to-python-frameworks-for-hadoop/