Apache
Storm is an open source distributed real-time computation system used with any
programming language. Use cases are real-time analytics, online machine
learning, continuous computation, distributed RPC, ETL etc. Its features are
fast processing speed, scalable, fault-tolerant, reliable and easy to operate.
Apache Storm online training teach real time analytics of wide variety of
streamed data and implement Spouts, Bolts and also Trident Topology on top of
Storm.
MindMajix
is a Global Interactive Learning institute deliver Apache Storm
online Training enable
collaborative teaching with Customized Curriculum. The sessions explain how to
setup Apache Storm cluster, learn stack and grouping and would be working on
real world projects using Storm. We provide conceptual training with practical
demonstration and regular exercises able to find solutions in the real-time
scenarios by certified corporate trainer.
Course
Curriculum
Introduction
of Big Data and Storm
Topics - What
is Big data, Big Data Analytics: Batch Vs Real Time, Hadoop for Batch
Analytics, Shortcomings of Hadoop, Storm for Real Time Analytics, What is
Storm, Use Cases of Storm, Components of Storm, Properties of Storm, Storm Vs
Hadoop.
Storm
Technology Stack and Groupings
Topics - Storm
Installation, Storm Running Modes, Creating First Storm Topology, Topologies in
Storm.
Spouts and
Bolts
Topics - Reliable
Vs Unreliable Messages, Getting Data, Bolt Life cycle , Bolt Structure,
Reliable Vs Unreliable Bolts.
Trident
Topologies
Topics - Design,
Trident in Storm, Spout, RQ Class, Co-ordinator, Emitter, Bolt, Committer
Bolts, Partitioned Transactional Spouts.
Real Life
Storm Project
To Learn
More Click On Below Link:
Thanks for sharing this post! Apache Storm training is a free and open source distributed real time computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Storm is simple, can be used with any programming language, and is a lot of fun to use! Storm has many use cases: real-time analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Storm is fast: a benchmark clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate. More at Apache Storm Training
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