excellent course.
Learn Advanced Apache Kafka from Scratch
Master Kafka from the basics to advanced concepts with this comprehensive Course.
IT & Software,IT Certification,Apache Kafka
Lectures -154
Resources -2
Duration -9 hours
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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
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.
Prerequisites
Basic knowledge of Big Data.
Basics of Java/Scala programming.
Curriculum
Check out the detailed breakdown of what’s inside the course
Course Introduction
1 Lectures
-
Course Introduction 02:01 02:01
Lesson 1: Getting Started with Big Data and Apache Kafka
17 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Lesson 2: Kafka Producer
14 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Lesson 3: Kafka Consumer
19 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Lesson 4: Kafka Operations and Performance Tuning
12 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Lesson 5: Kafka Cluster Architectures and Administering Kafka
14 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Lesson 6: Kafka Monitoring and Schema Registry
18 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Lesson 7: Kafka Streams and Kafka Connectors
23 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Lesson 8: Integration of Kafka with Storm
11 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Lesson 9: Kafka Integration with Spark and Flume
15 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Lesson 10: Admin Client and Securing Kafka
9 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Course End Project
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Instructor Details
![Learnkart Technology Pvt Ltd](https://www.tutorialspoint.com/assets/profiles/368489/profile/200_2310789-1630387534.jpg)
Learnkart Technology Pvt Ltd
About me
Tech enthousiast currently employed as a Data Engineer. My main focus is Scala + Spark on Kubernetes.
To prepare for Databricks certifications I highly recommend the books "Spark: The Definitive Guide" and "Learning Spark". Prof. Mark C. Lewis also has an excellent playlist about Spark on YouTube.
I'm happy to help in case you have any questions, just send me a message. You can also message me if you want to share feedback, see typos, or have ideas on how to improve my courses.
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