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    Learn By Example : Apache Storm

    BY
    Udemy

    Gain a practical grasp of data streaming and processing with Apache Storm using practical examples.

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    Mode

    Online

    Fees

    ₹ 1799

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study
    Mode of Delivery Video and Text Based

    Course overview

    Apache Storm is open and free access distributed real-time computation platform, that is used for real-time processing of everything Hadoop achieved for batch systems by making it simple to safely process unlimited streams of data. Apache Storm is easy to use, compatible with all programming languages, and a wonderful experience. Learn By Example: Apache Storm online certification was designed by Loony Corn, a team of ex-Google, Stanford, and Flipkart employees, which is provided by Udemy.

    Learn By Example: Apache Storm online training is developed for individuals who are looking for a practical training program that could help them master the principles and strategies involved with Apache Storm using real examples. With Learn By Example: Apache Storm online classes, individuals will be provided with 4 hours of digital sessions supported by 15 downloadable study materials which cover topics like application development, data processing, stream processing, distributed processing, grouping, parallelism, transformations, ML algorithms and more.

    The highlights

    • Certificate of completion
    • Self-paced course
    • 4 hours of pre-recorded video content
    • 15 downloadable resources

    Program offerings

    • Online course
    • Learning resources
    • 30-day money-back guarantee
    • Unlimited access
    • Accessible on mobile devices and tv

    Course and certificate fees

    Fees information
    ₹ 1,799
    certificate availability

    Yes

    certificate providing authority

    Udemy

    What you will learn

    Software development skills Knowledge of python Application of ml algorithms

    After completing the Learn By Example: Apache Storm certification course, individuals will develop an understanding of the strategies and concepts involved with apache storm for developing applications, word count topology, and storm topology using python. Individuals will explore the fundamentals associated with data streaming, data processing, distributed processing, and grouping using apache storm. Individuals will learn about concepts involved with reliability, fault tolerance, Twitter spout, parallelism, transformation, HDFS, and DRPC calls. In addition, individuals will gain knowledge on how to use machine learning algorithms in storm applications.

    The syllabus

    Start Here

    • You, This Course and Us

    Stream Processing with Storm

    • How does Twitter compute Trends?
    • Improving Performance using Distributed Processing
    • Building blocks of Storm Topologies
    • Adding Parallelism in a Storm Topology
    • Components of a Storm Cluster

    Implementing a Hello World Topology

    • A Simple Hello World Topology
    • Ex 1: Implementing a Spout
    • Ex 1: Implementing a Bolt
    • Ex 1: Submitting the Topology

    Processing Data using Files

    • Ex 2: Reading Data from a File
    • Representing Data using Tuples
    • Ex 3: Accessing data from Tuples
    • Ex 4: Writing Data to a File

    Running a Topology in the Remote Mode

    • Setting up a Storm Cluster
    • Ex 5: Submitting a topology to the Storm Cluster

    Adding Parallelism to a Storm Topology

    • Ex 6 : Shuffle Grouping
    • Ex 7: Fields Grouping
    • Ex 8: All Grouping
    • Ex 9: Custom Grouping
    • Ex 10: Direct Grouping

    Section 7: Building a Word Count Topology

    • Ex 11: Building a Word Count Topology

    Remote Procedure Calls Using Storm

    • Ex 12: A Storm Topology for DRPC calls

    Managing Reliability of Topologies

    • Ex 13: Managing Failures in Spouts

    Integrating Storm with Different Sources/Sinks

    • Ex 14: Implementing a Twitter Spout
    • Ex 15: Using a HDFS Bolt

    Using the Storm Multilang Protocol

    • Ex 16: Building a Storm Topology using Python

    Complex Transformations using Trident

    • Ex 17: Building a basic Trident Topology
    • Ex 18: Implementing a Map Function
    • Ex 19: Implementing a Filter Function
    • Ex 20: Aggregating data
    • Ex 21: Understanding States
    • Ex 22: Windowing operations
    • Ex 23: Joining data streams
    • Ex 24: Building a Twitter Hashtag Extractor

    Instructors

    Mr Janani Ravi
    Instructor
    Udemy

    Mr Vitthal Srinivasan
    Instructor
    Udemy

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