Kafka course teaches you about Kafka Architecture, Installation, Configuration, Performance Tuning, Kafka Client APIs such as Producer, Consumer, and Stream APIs, Kafka Administration, Kafka Connect API, and Kafka Integration with Hadoop, Storm, and Spark utilizing Twitter Streaming.

Learning strategies are improving as technology progresses. The two most crucial foundations of online training are flexibility and quality. The following are the primary advantages of online Kafka instruction versus in-person training:

• Newest Course Curriculum - The course content is updated on a regular basis to reflect changing industry demands and software improvements.

• Excellent Teachers - You may connect and study every facet of technology from experts all around the world.

• Learner's Platform - Connect with other learners from across the world and share your knowledge and views with them.

• Real-world Projects and Case Studies - With the aid of real-world projects and case studies, you will grasp the technology.

• Lifetime Access and Support - You will get lifelong access to the course content as well as 24x7 help for any questions or mistakes.

This course is for professionals who want to master Kafka concepts and apply them to Big Data. It is strongly advised for:

• Freshers seeking a career move Developers seeking to advance their careers as a "Kafka Big Data Developer"

• Specialists in testing that are now active with queuing and messaging systems

• Big Data Architects that choose to incorporate Kafka into their environment

• Project Managers working on messaging system projects Administrators looking to advance their careers as a "Apache Kafka Administrator"

A basic understanding of Java principles is required. CertHippo offers a free "Java Fundamentals" course to all participants who enroll in the Apache Kafka Certification Course.

To grasp Apache Kafka, you must first study all of its ideas, including Kafka Architecture, Kafka Producer & Consumer, Configuring Kafka Cluster, Kafka Monitoring, Kafka Connect, and Kafka Streams. Integration experience with Kafka and other Big Data technologies such as Hadoop, Flume, Talend, Cassandra, Storm, and Spark will be advantageous.

• Minimum RAM required: 8 GB (Recommended: 16 GB)

• Minimum Free Disk Space: 50 GB

• Minimum Processor: Core i3 or above

• Operating System of 64bit

• Participant’s machines must support a 64-bit VirtualBox guest image

All practical will be completed on CertHippo Virtual Machine. The LMS includes thorough installation directions for configuring the environment. If you have any questions, the 24 hour support crew will respond quickly. CertHippo Virtual Machine may be installed on either a Mac or a Windows computer.

CASE STUDY-1 

• You work as an SEO professional for a corporation. You receive an email from management in which you are asked to obtain Top Trending Keywords. You must create a topology that can consume keywords from Kafka. You have provided a file containing several search phrases from various sectors.

CASE STUDY- 2

• You must create a system that is consistent in nature. For example, if you receive product feeds through flat files or other event streams, you must ensure that no product-related events, particularly inventory and pricing, are lost. Price and availability should always remain constant since the product may have been sold, the seller may no longer desire to offer it, or for any other reason. Yet, if characteristics such as Name and Description are not updated on a regular basis, they do not generate as much noise.

CASE STUDY-3 

• John wishes to create an e-commerce platform similar to Amazon, Flipkart, or Paytm. He will request that sellers/local companies upload all of their items to the site so that users/buyers may visit the portal and make purchases online. John is unfamiliar with the system, so he asked you to create a dependable and scalable solution for him where buyers and sellers can quickly update their items.