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Real-Time Analytics with Apache Kafka

Real-Time Analytics with Apache Kafka

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Real-Time Analytics with Apache Kafka

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Become an expert in high throughput publish-subscribe distributed messaging system by mastering concepts of Kafka Cluster, Producers and Consumers, Kafka API, Kafka Integration with Hadoop, Storm and Spark.


About The Course

Edureka's Real-Time Analytics with Apache Kafka course is designed to provide knowledge and skills to become a successful Kafka Big Data Developer. It will encompass the fundamental concepts like Kafka cluster, Kafka API to advance topics such as Kafka integration with Hadoop, Storm, Spark, Maven etc. The course also covers installation & configuration of Kafka and other components like Hadoop, Spark, Storm, Maven etc.

Course Objectives

After the completion of Real-Time Analytics with Apache Kafka course at Edureka, you should be able to: 
1. Understand Kafka and its components
2. Set up an end to end Kafka cluster along with Hadoop and Yarn cluster 
3. Integrating Kafka with real time streaming systems like Spark & Storm
4. Describe the basic and advanced features involved in designing  and developing a high throughput messaging system
5. Use Kafka to produce and consume messages from various sources including real time streaming sources like Twitter
6. Understanding the insights of Kafka API
7. Work on a real life Project, implementing Twitter streaming with Kafka, Hadoop & Storm

Who should go for this course?

This course is designed for professionals who want to learn Kafka techniques and wish to apply it on Big Data. It is highly recommended for: 
1. Developers who want to gain acceleration in their careers as a "Kafka Big Data Developer"
2. Testing professionals who are currently involved in Queuing and Messaging systems
3. Big Data Architects who like to include Kafka in their ecosystem
4. Project Managers involved in projects of messaging systems



Which Case-Studies will be a part of the Course?

Towards the end of the course, you will be working on a live project where you will be using Kafka messaging system to perform analysis on Twitter Streaming along with Hadoop, Spark & Storm.

Why learn Real-Time Analytics with Apache Kafka ?

Kafka provides high throughput and scalable messaging systems. Developed on Linkedin, it can be used effectively in place of traditional messaging system like JMS, Apache MQ etc. Because Kafka can be integrated into systems like Spark, Storm, Hadoop etc, it is a highly recommended messaging system for solving big data problems involved in messaging system. Features of Kafka Cluster like scalability, Fault tolerance, High throughput, Durability etc. makes it a leader in today's market in messaging systems. Due to extensive use of Kafka in market today, there is a steep increase in job opportunities.

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Video Quality

12 Hrs
20 Hrs
Lab Hours:
25 Hrs