Storm is a distributed, fault-tolerant system for real-time computation on streams of data. It uses a non-persistent API and executes topologies made up of spouts that produce data tuples and bolts that transform tuples. Once submitted, Storm topologies will continuously execute the computation logic in the bolts in a distributed, fault-tolerant manner as long as the logic is correct.

3. • What is Storm?
• Storm Benefits
• How Storm differentiates from Hadoop
• Storm vs. Flume
• Storm Example using Twitter Streaming API
• Quiz

4. • Storm is a Fault tolerant, distributed, real-time
computation system.
• It’s a Non persistent API.
• On a Storm cluster, we basically execute topologies,
which process streams of tuples (data).
• Each Topology is a graph consisting of Spouts(which
produce tuples) and bolts (which transform tuples).

5. • Once Storm Topology submitted, also, if all the
computation logic written in bolts are correct,
then it just works.

6. Storm Hadoop
Distributed & fault tolerant Distributed & fault tolerant
Real-time Computation
system
Batch Processing system
Non persistent Persistent, Uses HDFS for file storage

7. Storm Flume
Real-time Streaming systems Real-time Streaming systems
Real-time Computation system Not an Real-time Computation system
It will not Use any Message brokers for
real-time processing of data
It uses Channel, as a message broker
between Source and Sink

8. Topology Scenario:-
 I have taken one spout(TwitterSampleSpout) and three
bolts(WordSplitterBolt, IgnoreWordsBolt, WordCounterBolt) in
this project.
 Here spout(TwitterSampleSpout) work is to download Tweets from
Twitter and send it back to WordSplitterBolt.
 The WordSplitterBolt work is to split the entire text into words by
using space delimiter, and it will send those words to
IgnoreWordsBolt.
 The IgnoreWordsBolt work is to ignore determiners like(a, an, the..
etc), it just act like a filter, later it will send the final list of words to
WordCounterBolt. There actual count will happen, in console it will
show top counted list of words. Just works like a Twitter trends.
 This process will continue forever and aggregate all the list of words
and find its count.