Highlights
- About Big Data and Big Data analytics
- About Storm architecture and how it compares to Hadoop
- The use of real time analytics for business development and how Storm figures in it
- Apache Storm cluster installation
- The building blocks of Storm topology and their uses
- How to handle failures with the Trident Topologies in Storm
Course Details
Introduction to Big Data and Apache Storm
- 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
Spouts and Bolts
- Storm Installation
- Storm Running Modes
- Creating First Storm Topology
- Topologies in Storm
Trident Topologies
- Design, Trident in Storm
- Spout, RQ Class, Co-ordinator
- Emitter, Bolt, Committer Bolts
- Partitioned Transactional Spouts
Who should attend
Software Professionals, Data Scientists, ETL developers, Project Managers and other professionals who want to acquire a good understanding of Apache Storm or utilize it for real time analytics will find this course beneficial. Delegate skills ideally are as follows:
- Basic concepts of Core Java and Object Oriented Programming Concepts
- Hadoop concepts
Feedback
4.8 out of 5 average
"Good introduction to Apache Spark. The trainer was great at talking us through the information, specifically optimisation methods. He spoke slowly and concisely which really got his points across. He effectively tailored the course to our specifications which we also appreciated."
RL, Financial Crime Technologist, Apache Spark, April 2021
“JBI did a great job of customizing their syllabus to suit our business needs and also bringing our team up to speed on the current best practices. Our teams varied widely in terms of experience and the Instructor handled this particularly well - very impressive”
Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022
