Udemy Learn Apache Flink :Flink is a Apache Spark Competitor Udemy
Price: AED 73

    Course details

    Apache Flink is an open source stream processing framework with powerful stream- and batch-processing capabilities.

    Features

    • A streaming-first runtime that supports both batch processing and data streaming programs

    • Elegant and fluent APIs in Java and Scala

    • A runtime that supports very high throughput and low event latency at the same time

    • Support for event time and out-of-order processing in the DataStream API, based on the Dataflow Model

    • Flexible windowing (time, count, sessions, custom triggers) accross different time semantics (event time, processing time)

    • Fault-tolerance with exactly-once processing guarantees

    • Natural back-pressure in streaming programs

    • Libraries for Graph processing (batch), Machine Learning (batch), and Complex Event Processing (streaming)

    • Built-in support for iterative programs (BSP) in the DataSet (batch) API

    • Custom memory management for efficient and robust switching between in-memory and out-of-core data processing algorithms

    • Compatibility layers for Apache Hadoop MapReduce and Apache Storm

    • Integration with YARN, HDFS, HBase, and other components of the Apache Hadoop ecosystem


    Updated on 22 March, 2018
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