Top Big Data Processing Frameworks by Matthew Mayo +KDnuggets - A discussion of 5 Big Data processing frameworks: Hadoop, Spark, Flink, Storm, and Samza. An overview of each is given and comparative insights are provided, along with links to external resources on particular related topics.
Really interesting and helps if you are not familiar with them
Showing posts with label FLINK. Show all posts
Showing posts with label FLINK. Show all posts
Monday, 14 March 2016
Saturday, 28 November 2015
Stream Processing with Apache Flink via @brakmic
Great blog entry from Harris explaining what Apache Flink is and how to process stream data with it. Includes examples and GUTHUB contains the source code.
Monday, 26 January 2015
Inside the Apache Software Foundation’s Flink
The Apache Software Foundation has announced Apache Flink as a Top-Level Project (TLP).
Flink is an open-source Big Data system that fuses processing and analysis of both batch and streaming data. The data-processing engine, which offers APIs in Java and Scala as well as specialized APIs for graph processing, is presented as an alternative to Hadoop’s MapReduce component with its own runtime. Yet the system still provides access to Hadoop’s distributed file system and YARN resource manager.
Continue reading here on +SD Times
Flink is an open-source Big Data system that fuses processing and analysis of both batch and streaming data. The data-processing engine, which offers APIs in Java and Scala as well as specialized APIs for graph processing, is presented as an alternative to Hadoop’s MapReduce component with its own runtime. Yet the system still provides access to Hadoop’s distributed file system and YARN resource manager.
Continue reading here on +SD Times
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