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Home Courses 00 AI & DATA SCIENCE Hadoop Apache Spark – Advanced
Home Courses 00 AI & DATA SCIENCE Hadoop Apache Spark – Advanced

Apache Spark - Advanced

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4.7 (69845 ratings)

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What you'll get

  • 5h 47m
  • 43 Videos
  • Course Level - Beginner
  • Course Completion Certificates
  • One-Year Access
  • Mobile App Access

Curriculum:

    Connecting to Twitter Using Spark:

    Spark Streaming is an extension of the core Spark API that enables scalable, high-throughput, fault-tolerant stream processing of live data streams. Data can be ingested from many sources like Kafka, Flume, Twitter, ZeroMQ, Kinesis, or TCP sockets, and can be processed using complex algorithms expressed with high-level functions like map, reduce, join and window. Finally, processed data can be pushed out to filesystems, databases, and live dashboards.

    The training will help you learn about

    • Introduction to Spark streaming
    • How to create Dstreams and Windowed Dstreams
    • How to create Checkpoint Directory
    • Creating Twitter Application
    • Connecting To twitter Using Spark

    Target Customers:

    • Students/Professionals Interested in learning about Spark Streaming
    • Data Engineers
    • Analysts
    • Software Engineers
    • IT operations
    • Technical managers

    Pre-Requisites:

    • Basic computer knowledge
    • Basic understanding of Java/Scala/Python
    • Knowledge of Mapreduce paradigm

    * One-Time Payment & Get One-Year Access

    Offer ends in:

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    Course Overview

    In this training, you will learn how to connect to twitter application and extract live Streaming information from twitter and performing Word Count Operation on the data extracted.

    15
    6 - 12 hours 5h 47m | 43 Videos | 69845 Views | Beginner  Beginner
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    Connecting to Twitter Using Spark:

    Spark Streaming is an extension of the core Spark API that enables scalable, high-throughput, fault-tolerant stream processing of live data streams. Data can be ingested from many sources like Kafka, Flume, Twitter, ZeroMQ, Kinesis, or TCP sockets, and can be processed using complex algorithms expressed with high-level functions like map, reduce, join and window. Finally, processed data can be pushed out to filesystems, databases, and live dashboards.

    The training will help you learn about

    Watch our Demo Courses and Videos

    Valuation, Hadoop, Excel, Mobile Apps, Web Development & many more.

    • Introduction to Spark streaming
    • How to create Dstreams and Windowed Dstreams
    • How to create Checkpoint Directory
    • Creating Twitter Application
    • Connecting To twitter Using Spark

    Target Customers:

    • Students/Professionals Interested in learning about Spark Streaming
    • Data Engineers
    • Analysts
    • Software Engineers
    • IT operations
    • Technical managers

    Pre-Requisites:

    • Basic computer knowledge
    • Basic understanding of Java/Scala/Python
    • Knowledge of Mapreduce paradigm

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