Apache Kafka Training

After this training, students can gain expertise in the following:

• Learn Kafka and its components
• Integrating Kafka with real-time streaming systems like Storm and Spark
• Describe Kafka features such as designing and developing a high throughput messaging system
• Producing and consuming messages from  distinct sources using Kafka including real-time streaming sources
• Gain Kafka API insights
• Understand Kafka Stream APIs

• Apache Kafka has a phenomenal growth over the last few years, and it is excellent to choose a career or get specialized in it.
• The trained professionals can demonstrate their expertise in the fast-growing big data industry, which is the on-demand domain in the market.
• Most organizations are hiring skilled Kafka professionals to better leverage Big Data analytics.

The following job roles will get benefited from this training:

• Analytics professionals
• IT developers
• Testers 
• Project Managers
• Research Professionals
• Students

Anybody can take this training course. Having a background in Java is beneficial.

On completing the course, you will be able to excel in:

• Kafka characteristics and salient features
• Kafka cluster deployment on Hadoop and YARN
• Producing and consuming message from feeds like Twitter
• Solving Big Data problems in messaging systems
• Storing of records using Kafka in a fault-tolerant way
• Deploying Kafka in real-world business scenarios

Yes, you get two kinds of discounts. They are group discount and referral discount. Group discount is offered when you join as a group, and referral discount is offered when you are referred from someone who has already enrolled in our training.

The trainer will give Server Access to the course seekers, and we make sure you acquire practical hands-on training by providing you with every utility that is needed for your understanding of the course.

The trainer is a certified consultant and has significant amount of experience in working with the technology.

Yes, we accept payments in two installments.

If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within first 2 sessions of the training. Please make a note that refunds will be processed within 30 days of prior request.