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Apache Flink Training

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Learntek1
13 diapositives · 1.1K Views · Apr 09, 2018

http://www.learntek.org/product/apache-flink/ Learntek is global online training provider on Big Data Analytics, Hadoop, Machine Learning, Deep Learning, IOT, AI, Cloud Technology, DEVOPS, Digital Marketing and other IT and Management courses. We are dedicated to designing, developing and implementing training programs for students, corporate employees and business professional. www.learntek.org

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Apache Flink Training
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  1. APACHE FLINK

  2. Apache Flink The following topics will be covered in our Apache Flink Online Training: Copyright @ 2015 Learntek. All Rights Reserved.

  3. What is Apache Flink? • Apache Flink is an open source stream processing framework developed by the Apache Software Foundation. The core of Apache Flink is a distributed streaming dataflow engine written in Java and Scala. Apache Flink’s dataflow programming model provides event-at-a-time processing on both finite and infinite datasets. At a basic level, Flink programs consist of streams and transformations. Copyright @ 2015 Learntek. All Rights Reserved.

  4. ….. Continues Conceptually, a stream is a (potentially never-ending) flow of data records, and a transformation is an operation that takes one or more streams as input, and produces one or more output streams as a result. Programs can be written in Java, Scala, Python, and SQL and are automatically compiled and optimized into dataflow programs that are executed in a cluster or cloud environment. Copyright @ 2015 Learntek. All Rights Reserved.

  5. Why Apache Flink? • Flink provides a high-throughput, low-latency streaming engine as well as support for event-time processing and state management. Flink applications are fault-tolerant in the event of machine failure and support exactly-once semantics. Flink executes arbitrary dataflow programs in a data-parallel and pipelined manner. Flink’s pipelined runtime system enables the execution of bulk/batch and stream processing programs. Furthermore, Flink’s runtime supports the execution of iterative algorithms natively. Copyright @ 2015 Learntek. All Rights Reserved.

  6. Flink Introduction • Architecture • Distributed Execution • Job Manager • Task Manager • Features • Deploying Flink on Google Cloud and AWS Copyright @ 2015 Learntek. All Rights Reserved.

  7. Data Stream API  • Execution environment • Data sources • Transformations • Data sinks • Connectors Copyright @ 2015 Learntek. All Rights Reserved.

  8. Batch Processing API • Data sources • Transformations • Broadcast Variable • Connectors to various Systems • Iterations Copyright @ 2015 Learntek. All Rights Reserved.

  9. Structure data handling using Table API  • Registering tables • Accessing the registered table • Operators • Data types • SQL Copyright @ 2015 Learntek. All Rights Reserved.

  10. Complex event processing • Introduction to CEP and Flink CEP • Event Streams • Pattern API • Continuity • Selecting from Pattern Copyright @ 2015 Learntek. All Rights Reserved.

  11. Graph API • Flink Graph Library – Gelly • Graph Representation • Graph Properties • Graph Transformations • Graph Mutations • Iterative Graph Processing • Scatter-Gather Processing Copyright @ 2015 Learntek. All Rights Reserved.

  12. Integration between Flink and Hadoop • Flink-Yarn Session • Job Submission to Flink • Execution of a Flink job on YARN • Flink and YARN interaction details Copyright @ 2015 Learntek. All Rights Reserved.

  13. Copyright @ 2015 Learntek. All Rights Reserved.