Learn Advanced Apache Kafka from Scratch: Hands-On Course

Name: Learn Advanced Apache Kafka from Scratch: Hands-On Course
Rating: 3.9 (194 reviews)
Author: Learnkart Technology Pvt Ltd

Master Kafka from the basics to advanced concepts with this comprehensive Course.

updated on icon Updated on Apr, 2024

language icon Language - English

person icon Learnkart Technology Pvt Ltd

English [CC]

category icon IT & Software,IT Certification,Apache Kafka

Lectures -154

Resources -2

Duration -9 hours

3.9 ★★★ ★ ★

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Course Description

The course will teach you how to create Apache Kafka and how to use it to store and process many uninterrupted streams of information quickly and more efficiently. Learn how to construct and introduce Kafka groups using easy and step-by-step instructions.

Advanced Apache Kafka from Scratch Overview

More than 80% of all Fortune 100 organizations trust and employ Apache Kafka, an open-source distributed stream processing technology that enables high-throughput and low-latency real-time communications.

Kafka is widely used by companies like as Airbnb, Netflix, Microsoft, Intuit, and Target. This course was developed by industry professionals and is aligned with industry best practices. This is a comprehensive course covering Kafka from A to Z:

Basic concepts and architecture of Kafka.
Kafka Producer and consumer
Serializer/De-serializer
Kafka Streams
Kafka Connect
Cluster setup and Administrating Kafka
Kafka Monitoring and Schema registry
Integration of Kafka with Storm
Integration of Kafka with Spark and Flume
Kafka Security

Who this course is for:

Developers who are unfamiliar with Kafka.
Developers seeking a thorough grasp of Kafka via hands-on experience.
Architects tasked with incorporating Kafka into their solution architecture.

Goals

What will you learn in this course:

Learn how to use Apache Kafka to handle real-time data feeds.
Understand the key concepts of Kafka, such as topics, partitions, brokers, producers, and consumers.
Build robust streaming applications using Kafka for real-time messaging.
Create producers and consumers to send and receive data from Kafka.
Write Kafka Streams applications to process data in real time.
Configure and run Kafka source and sink connectors to integrate Kafka with other systems.
Write your own customized Kafka connector to meet specific needs.
Configure standalone and sink connectors to ensure that Kafka is running smoothly.
Build a standalone application using Kafka and Storm to process real-time data.
Create a Flume agent to send data from Kafka to HDFS for storage.