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Welcome Big Data Ingesters/BigFoots!

This meetup has been formed to discuss customer use cases, applications and design patterns for big data ingestion, transformation, and egression via webcasts. 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. This meetup will be exclusively online. We are a growing online community that meets online and has a deep influence on the big data ecosystem.

Examples of messaging systems include ActiveMQ, Flume, JMS, Kafka, Kinesis Streams, MapR Streams, Nifi, RabbitMQ, Solace and ZeroMQ.

Examples of file systems include HDFS, FTP, NFS, S3, SFTP, and MapR-FS.

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.

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

Other connectors include ElasticSearch, Splunk, Solr.

To reduce time to market, look at operable app-templates that you can quickly import and launch.

Examples: HDFS-SyncKafka-HDFSHDFS-Line-CopyS3-HDFS and HDFS-Kafka.

Our webcasts will also include production customers who will present their use cases.

We want to develop a strong, online community that has a deep influence on the big data ecosystem.

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

Big Data Ingest & Transform Chennai Community Organizer

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