Apache Flink Training

 Apache Flink^® is an open source platform for scalable batch and stream data processing. It offers expressive APIs to define batch and streaming data flow programs and a robust and scalable engine to execute these jobs.

Apache Flink outperforms Apache Spark in processing machine learning & graph algorithms and relational queries but not in batch processing! The results were published in the proceedings of the 18th International Conference, Business Information Systems 2015, Poznań, Poland, June 24-26, 2015. Thanks to our friend Google, Chapter 3: Evaluating New Approaches of Big Data Analytics Frameworks by Norman Spangenberg, Martin Roth and Bogdan Franczyk is available for preview at http://goo.gl/WocQci  on pages 28-37.


http://dataartisans.github.io/flink-training/index.html

https://flink.apache.org/

https://github.com/apache/flink/

https://flink.apache.org/community.html

http://coderissues.com/questions/tagged/apache-flink


HDFS Sink
Writes Events to HDFS
Logger Sink
Writes Events using Logger at INFO level
Avro Sink
Writes Events to Avro Source/Servers
Thrift Sink
Writes Flume Events as Thrift messages to a Thrift Source/Server
IRC Sink
Write Events to configured IRC destinations
File Roll Sink
Writes Events to local file system
Null Sink
Discards all Events received from Channel
HBase Sink
Writes Events to HBase
Morphline Solr Sink