COURSE INTRODUCTION
The course enables you to master the concepts of Apache Storm including its architecture, planning, installation, and configuration. You will learn to use Storm for real-time processing and understand how Storm interfaces with Kafka, Java, and Cassandra. The course is best-suited for IT developers, big data developers, data scientists, and analytics professionals.
KEY FEATURES
- 8 hours of self-paced video
- Includes 8 demos explaining key concepts
- Includes 1 simulation and 1 exam paper for practice
- Includes 10 real-life case studies covering all major concepts
COURSE OBJECTIVES
After conpleting this course, students will have knowledge and skills to:
- Master the fundamental concepts and the architecture of Apache Storm
- Plan installation and configuration with Apache Storm
- Grasp concepts such as Ingesting and processing of real-time events with Storm
- Understand fundamentals of Trident extension to Apache Storm
- Gain thorough understanding of Grouping & Data Insertion in Apache Storm
- Understand fundamentals of Storm Interfaces with Kafka, Cassandra, Java
AUDIENCE
- Analytics professionals
- Research professionals
- IT developers and testers
- Project Managers
- Data Scientists
- Professionals and students aspiring for a Real time analytics career in Big Data Hadoop
PREREQUISITES
Working knowledge of Java
- Basic knowledge of Linux or Unix based systems
- Basic knowledge of data processing
- It is recommended to do a Big Data Hadoop Developer Certification Training as a prerequisite as it provides an excellent foundation for Apache Storm certification.
EXAM & CERTIFICATION
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Online Self-Learning:
- Complete 85% of the course.
- Complete at least 1 simulation test with a minimum score of 60%.
COURSE CONTENT
Lesson 00 - Introduction
Lesson 01 - Big Data Overview
Lesson 02 - Introduction to Storm
Lesson 03 - Installation and Configuration
Lesson 04 - Storm Advanced Concepts
Lesson 05 - Storm Interfaces
Lesson 06 - Storm Trident