Apache Storm: intermediate Apache Storm 0.9.6
- 4 Courses | 5h 32m 19s
- 2 Books | 6h 10m
Apache Storm is an open-source, distributed system that provides real-time data processing for Hadoop. Explore Storm and its capabilities.
COURSES INCLUDED
Architecture & Installation
Apache Storm is a fast, scalable, open source distribution system that drives real-time computations, making it easy to reliably process unbounded streams of data. Discover Storm, its components, and what it can do for you.
11 videos |
1h 11m
Assessment
Badge
Deployment, Configuration, & Concepts
Apache Storm is fast, scalable, and can be used with any programming language. Explore Storm integration with ZooKeeper and the Storm Trident Architecture and how they are used with Storm model.
14 videos |
1h 27m
Assessment
Badge
Storm UI & Topology
Storm makes it easy to stream massive amounts of unbounded streams of data while providing a fault-tolerant system. Discover how Trident and Kafka integration with Storm can help take any business to the next level.
17 videos |
1h 50m
Assessment
Badge
Exploring Storm Integration & Automation
Storm makes it easy to integrate with other queuing and database systems. Discover how Storm integrates with Hadoop, JMX, Ganglia, Puppet, HBase, and Redis, as well as how to deploy the Storm architecture.
9 videos |
1h 3m
Assessment
Badge
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Digital badges are yours to keep, forever.BOOKS INCLUDED
Book
Real-time Analytics with Storm and CassandraIncluding different methods that you can use to manage and maintain Cassandra and Storm, this book will teach you how to use Storm for real-time data processing and to make your applications highly available with no downtime using Cassandra.
2h 19m
By Shilpi Saxena
Book
Storm Applied: Strategies for Real-Time Event ProcessingAn example-driven guide to processing and analyzing real-time data streams, this immediately useful book dives into real-world case studies that show you how to scale a high-throughput stream processor, ensure smooth operation within a production cluster, and more.
3h 51m
By Matthew Jankowski, Peter Pathirana, Sean T. Allen
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