Applying Real-time Processing Using Apache Storm

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Swetha Kolalapudi

2:15:52

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1-Course Overview

1 -Course Overview.mp4

01:29

2-Understanding the Components of Storm

2 -Contrasting Real-time and Batch Processing.mp4

05:39

3 -Understanding the Components of Storm.mp4

05:15

4 -Representing Data in Storm Components.mp4

03:45

5 -Building a Hello World Topology.mp4

04:18

6 -Implementing the Spout.mp4

05:33

7 -Implementing the Bolt.mp4

06:06

8 -Running the Topology.mp4

05:35

3-Parallelizing Data Processing Using Storm Components

9 -Understanding Parallelism in a Storm Cluster.mp4

03:50

10 -Setting up a Remote Cluster.mp4

04:34

11 -Running a Topology on a Remote Cluster.mp4

05:07

12 -Controlling Data Flow with Stream Grouping.mp4

04:30

13 -Building a Word Count Topology.mp4

01:49

14 -Implementing the Topology Components.mp4

04:32

15 -Contrasting Different Stream Grouping Strategies.mp4

04:09

16 -Implementing a Custom Stream Grouping.mp4

04:28

4-Customizing Storm Components for Better Reliability

17 -Guaranteeing Message Processing in Storm.mp4

05:17

18 -Managing Reliability in Storm Components.mp4

03:13

19 -Implementing Reliability in a Spout.mp4

05:22

20 -Implementing Reliability in a Bolt.mp4

03:13

5-Querying Storm Data Streams Using Trident

21 -Processing Data Using Trident.mp4

04:22

22 -Implementing a Trident Topology to Process Text.mp4

06:54

23 -Aggregating Data Streams.mp4

04:04

24 -Using Trident for Distributed Remote Procedure Calls.mp4

03:53

25 -Maintaining and Querying State.mp4

02:25

26 -Querying Word Counts.mp4

03:43

6-Applying Machine Learning to Storm Data Streams

27 -Understanding the Machine Learning Process.mp4

05:31

28 -Integrating Storm with Python.mp4

05:25

29 -Predicting Sentiment in Real-time.mp4

03:15

30 -Training a Sentiment Analysis Model in Python.mp4

05:28

31 -Building a Storm Topology to Predict Sentiment.mp4

03:08

Description

Storm lets you to work with large scale streaming data using it's distributed real-time processing architecture. This course discusses the components of Storm topologies and how to use Storm for applying machine learning in real-time.

What You'll Learn?

Storm is meant to be to used for distributed real-time processing, the way Hadoop is used for distributed batch processing. With Storm, you can process informations such as trends and breaking news and react to it in real-time. In this course, Applying Real-time Processing Using Apache Storm, you'll learn how to apply Storm for real-time processing. First, you'll discover how to set up a data processing pipeline using Storm topologies. Next, you'll explore parallelization by controlling data flows between components. Then, you'll cover how to perform complex data transforms using the Trident API. Finally, you'll learn how to apply machine learning models in real-time. By the end of this course, you'll be able to build your own Storm applications for different real-time processing tasks.

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Data Science

Swetha Kolalapudi

Instructor's Courses

Swetha loves playing with data and crunching numbers to get cool insights. She is an alumnus of top schools like IIT Madras and IIM Ahmedabad. She was the first member of Flipkart’s elite Analytics team and was instrumental in scaling it to 100+ employees. Swetha has always had an entrepreneurial bent and a love for teaching. She now has the chance to do both as the co¬founder of Loonycorn, a content studio focused on providing high quality content for technical skill development. Loonycorn is working on developing an engine (patent filed) to automate animations for presentations and educational content.

Pluralsight

View courses Pluralsight

Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.