Real-Time Analytics with Apache Storm
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Course Details
Cost
FREE
Upcoming Schedule
- On demand
Course Provider
Udacity online courses
Udacity gives students the opportunity to create hands-on projects that can be
put into their portfolios and used to demonstrate their skills to future
employers. You'll have a personal coach who helps provide feedback on your
assignments and projects to assist you in reaching your goals and staying on
track in your online classes. Throughout your education experience, you'll be
able to track your development, complete in-class projects, have access to
interactive exercises and videos and ...
Udacity gives students the opportunity to create hands-on projects that can be
put into their portfolios and used to demonstrate their skills to future
employers. You'll have a personal coach who helps provide feedback on your
assignments and projects to assist you in reaching your goals and staying on
track in your online classes. Throughout your education experience, you'll be
able to track your development, complete in-class projects, have access to
interactive exercises and videos and earn a verified certificate at the end of
the course as proof of all that you've learned. You'll be learning from
knowledgeable professors across various schools and parts of the globe. Learn
about computer science from Dave Evans, an instructor at the University of
Virginia, or delve into app development with Samantha Ready, a Developer
Evangelist at Salesforce.com.
Provider Subject Specialization
Sciences & Technology
Course Description
The world is trending in real time! Learn from Twitter to scalably process tweets, or any big data stream, in real-time to drive d3 visualizations using Apache Storm, the “Hadoop of Real Time.” Storm is free, open source, and fun to use! Learn from Karthik Ramasamy, Technical Lead of Storm@Twitter, about the distributed, fault-tolerant, and flexible technology used to power Twitter’s real-time data flow pipeline. Twitter open sourced Storm in 2011, and it graduated to a top-level Apache project in September, 2014.
Starting from basic distributed concepts presented during our first Udacity-Twitter Storm Hackathon, link Storm concepts to Storm syntax to scalably drive Word Cloud visualizations with Vagrant, Ubuntu, Maven, Flask, Redis, and d3. Link to the public Twitter gardenhose stream to process live tweets, parse embedded URLs, and calculate Top worldwide hashtags. Extend beyond Storm basics by exploring multi-language cap...
The world is trending in real time! Learn from Twitter to scalably process tweets, or any big data stream, in real-time to drive d3 visualizations using Apache Storm, the “Hadoop of Real Time.” Storm is free, open source, and fun to use! Learn from Karthik Ramasamy, Technical Lead of Storm@Twitter, about the distributed, fault-tolerant, and flexible technology used to power Twitter’s real-time data flow pipeline. Twitter open sourced Storm in 2011, and it graduated to a top-level Apache project in September, 2014.
Starting from basic distributed concepts presented during our first Udacity-Twitter Storm Hackathon, link Storm concepts to Storm syntax to scalably drive Word Cloud visualizations with Vagrant, Ubuntu, Maven, Flask, Redis, and d3. Link to the public Twitter gardenhose stream to process live tweets, parse embedded URLs, and calculate Top worldwide hashtags. Extend beyond Storm basics by exploring multi-language capabilities in Python, integrate open source components, and implement real-time streaming joins.
In your final project, follow real-time trending topics by implementing the data pipeline to visualize only tweets that contain Top worldwide hashtags. Extend your project by exploring the Twitter API, or any data source, alongside Hackathon participants as they design their own ideas, receive feedback from Karthik, and open source a final project calculating real-time tweet sentiment and geolocation to drive a U.S. Map.
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- 1 review
- 1 completed
4 years, 7 months ago
The course is taught superficially. Content seemed to be interesting in the description using words like 'redis', 'flask' and others. But, All I know after taking up the course is just the meaning of them. Highly superficial course. I will definitely not recommend to take up this course. Could have been a beautiful course if taught in detail.