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The "Real Time Analysis using Apache Storm" course offers a comprehensive dive into the world of Big Data and its practical applications, particularly focusing on real-time stream processing. Learners will start by gaining a foundational understanding of Big Data and its significance across various industries, along with different types of data analytics. The course then introduces Apache Storm, elucidating its architecture, use cases, and unique value in handling real-time data streams.
As participants progress, they'll tackle the practical aspects of Storm Installation and Configuration, learning about different nodes and running modes, as well as the nuances of stream grouping. In-depth exploration of Spouts and Bolts follows, where learners will comprehend the basic building blocks of a Storm topology, messaging reliability, as well as integration with external systems like Kafka.
Finally, the course delves into Storm Trident, an extension of Storm that provides high-level abstraction for doing stateful stream processing in a more straightforward and flexible manner. By the end of this course, students will have the knowledge to design, configure, and implement robust real-time data processing solutions using Apache Storm, making them valuable assets in the field of Big Data analytics.
Purchase This Course
USD
View Fees Breakdown
Flexi Video | 16,449 |
Official E-coursebook | |
Exam Voucher (optional) | |
Hands-On-Labs2 | 4,159 |
+ GST 18% | 4,259 |
Total Fees (without exam & Labs) |
22,359 (INR) |
Total Fees (with exam & Labs) |
28,359 (INR) |
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
The Real Time Analysis using Apache Storm course is designed for IT professionals focused on big data and real-time analytics.
Gain expertise in processing Big Data in real-time with Apache Storm, understanding its architecture, components, and how to design and deploy stream processing solutions effectively.