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Overview
This course will provide participants an introduction to Hadoop and Apache Storm. Apache Storm can be used for real time processing. We will look at Storm's architecture, use cases where Storm is a good fit, its ability to scale, and go through a typical use case reading from a queue and writing to a persistence store
A shorter version of this course is available without an introduction to
Hadoop to those who have experience with working with Hadoop
Learning Objectives
Will provide knowledge and skills for real time analytics of wide variety of streamed data. Apache Storm is powerful, distributed, real time computation system. Storm is a well-developed, stable and fun to use framework for enterprise grade real time big data analysis.
Audience
- Best suited to developers and engineers
- A developer working with large-scale, high-volume websites.
- An application architect or data architect who needs to understand the available options for high-performance, decentralized high volume data processing
Pre-requisites
- Basic knowledge of Linux is assumed.
- Prior knowledge of Hadoop is not required.
- Basic Understanding Of Java or similar Programming Languages
Course duration
4 days
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