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Welcome! Big Data Ingesters,

This meetup has been formed to discuss customer use cases and design patterns for big data ingestion, transformation, and egression. Use cases for transformations include fast real-time analytics, data movement, disaster recovery in Apache Hadoop, data integration, fast batch, and database load/off-load. Key focus will be on integrating Hadoop with various systems including Message Systems, File Systems, and Databases. Users should be able to connect to any source and any destination from within Hadoop. Ability to leverage any user code as part of the connections and transformations. We want to develop a strong community in Raleigh that meets face to face and has a deep influence on big data ecosystem.

Examples of Messaging Systems include ActiveMQ, Flume, JMS, Kafka, Kinesis Streams, MapR Streams, Nifi, RabbitMQ, Solace, ZeroMQ, etc.

Examples of File Systems include HDFS, FTP, NFS, S3, SFTP, MapR-FS etc.

Examples of Databases/Stores include Accumulo, AeroSpike, Cassandra, CouchDb, MongoDB, HBase, Couchbase, Geode, HBase, Hive Tables, MapR-DB, Impala, JDBC, HP Vertica, MemCache, MemSql, MySql, Oracle, Redis, etc.

Examples of protocols include AMPQ, HTTP, MQTT, SMTP, Rest/Soap, Twitter, Websockets, etc.

Other connectors include ElasticSearch, Splunk, Solr etc.

Our events will include production customer who will present their use cases.

We want to develop a strong community that meets face to face and has a deep influence on big data ecosystem. If you are interested in stepping up and leading organizing this meet-up, please email to

A lot of above technologies are registered trademarks or trademarks of the Apache Software Foundation.

Big Data Ingest & Transform Community Organizer

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