Apache Kafka A-Z with Hands on Learning
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 3.95 GB
Genre: eLearning Video | Duration: 156 lectures (9 hour, 24 mins) | Language: English
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 3.95 GB
Genre: eLearning Video | Duration: 156 lectures (9 hour, 24 mins) | Language: English
Prepare for Apache Kafka Certification Exam prep course and also learn the practical usage through our hands on learning
What you'll learn
In this Apache Kafka certification exam preparation course, You will learn to handle real-time data feeds using Kafka open-source messaging. With this Kafka training, you will learn how to build robust streaming applications using Kafka for real-time messaging. Apache Kafka is an open-source stream processing platform that provides high-throughput and low latency real-time messaging. This course has been aligned with industry best practices as it has been created by industry leaders.
Requirements
Basic knowledge of Big Data
Description
Ace design of Apache Kafka and learn how Apache Kafka is used to storing and processing multiple nonstop streams of information faster and all the more efficiently with our Apache Kafka Course.
Learn how to design and introduce Kafka groups, With simple to follow and step by step guidelines.
This Apache Kafka course will help students to learn the aptitudes required to undertake responsibility for their organization's Kafka group by arranging Kafka producer, consumer, streams, and connectors accurately.
This course will also help students with the skills required to coordinate Kafka with existing application stages in their association.
Depicting the design of Kafka & clarify use cases in business.
Design and introduce the Kafka group in single-hub and/or multi-hub arrangements.
Execute Consumer and Kafka Producer using ongoing gushing-information
Apply their figuring out how to utilize incredible highlights like allotments and the informing framework
Who this course is for:
Individuals having a basic knowledge of big data including Analytics Professionals, Research Professionals, Software Developers, Software Test Engineers, project managers, Students and many more.