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Apache Kafka for Distributed Systems

  • Development
  • Dec 03, 2024
SynopsisApache Kafka for Distributed Systems, available at $54.99, ha...
Apache Kafka for Distributed Systems  No.1

Apache Kafka for Distributed Systems, available at $54.99, has an average rating of 4.3, with 70 lectures, based on 12 reviews, and has 85 subscribers.

You will learn about Understand the Kafka architecture and core concepts Develop safe and high-performance Kafka producers and Consumers Use the Kafka CLI to interact with Kafka without any programming language Gain a deep understanding of Kafka concepts such as Cluster, Broker, Topics, Partitions, Producers, Consumers Learn and Delve into how consumers work together in a consumer group Become proficient in advanced topics like partition distribution strategies, RAFT, consumer rebalancing strategies Get all the required information to build your event-driven applications using Apache Kafka Apply all the learned information to any programming language, particularly C#/.NET Prepare for the Confluent Certified Developer for Apache Kafka (CCDAK) certification This course is ideal for individuals who are Anyone looking to learn how Apache Kafka works or Developers who want to learn Apache Kafka to build distributed applications or Architects who want to apply Apache Kafka to their solution architecture or C#/Java developers looking for hands-on tutorials to learn and integrate Kafka into their projects It is particularly useful for Anyone looking to learn how Apache Kafka works or Developers who want to learn Apache Kafka to build distributed applications or Architects who want to apply Apache Kafka to their solution architecture or C#/Java developers looking for hands-on tutorials to learn and integrate Kafka into their projects.

Enroll now: Apache Kafka for Distributed Systems

Summary

Title: Apache Kafka for Distributed Systems

Price: $54.99

Average Rating: 4.3

Number of Lectures: 70

Number of Published Lectures: 70

Number of Curriculum Items: 70

Number of Published Curriculum Objects: 70

Original Price: $59.99

Quality Status: approved

Status: Live

What You Will Learn

  • Understand the Kafka architecture and core concepts
  • Develop safe and high-performance Kafka producers and Consumers
  • Use the Kafka CLI to interact with Kafka without any programming language
  • Gain a deep understanding of Kafka concepts such as Cluster, Broker, Topics, Partitions, Producers, Consumers
  • Learn and Delve into how consumers work together in a consumer group
  • Become proficient in advanced topics like partition distribution strategies, RAFT, consumer rebalancing strategies
  • Get all the required information to build your event-driven applications using Apache Kafka
  • Apply all the learned information to any programming language, particularly C#/.NET
  • Prepare for the Confluent Certified Developer for Apache Kafka (CCDAK) certification
  • Who Should Attend

  • Anyone looking to learn how Apache Kafka works
  • Developers who want to learn Apache Kafka to build distributed applications
  • Architects who want to apply Apache Kafka to their solution architecture
  • C#/Java developers looking for hands-on tutorials to learn and integrate Kafka into their projects
  • Target Audiences

  • Anyone looking to learn how Apache Kafka works
  • Developers who want to learn Apache Kafka to build distributed applications
  • Architects who want to apply Apache Kafka to their solution architecture
  • C#/Java developers looking for hands-on tutorials to learn and integrate Kafka into their projects
  • Are you ready to embark on a journey into the heart of real-time data streaming and processing?

    Welcome to “Apache Kafka for Distributed Systems” a comprehensive Udemy course that will take you from a novice to a proficient Apache Kafka practitioner. Whether you are a software developer, data engineer, or simply an enthusiast eager to explore the world of event-driven architectures, this course is your gateway to understanding, implementing, and excelling in Apache Kafka.

    Apache Kafka is a distributed streaming platform that can handle large volumes of data in real time. It is a popular choice for building real-time data pipelines, event streaming applications, and log aggregation systems.

    Kafka is a game-changer in the world of data streaming, and mastering it can significantly elevate your career. Join us on this journey to become a Kafka expert and unlock new opportunities in the rapidly evolving data landscape. Enroll today and take the first step toward mastering Apache Kafka!

    This course is designed to teach you everything you need to know to develop Kafka applications using any programming language. I have chosen C# as a language to demonstrate how to apply all the learned information but the course in general doesn’t depend on any programming language.

    You will learn about the Kafka architecture, core concepts, and operations. You will also develop hands-on experience with building and running Kafka producers and consumers.

    What You Will Learn

  • Understand the Kafka architecture and core concepts

  • Develop safe and high-performance Kafka producers and Consumers

  • Use the Kafka CLI to interact with Kafka without any programming languages

  • Gain a deep understanding of Kafka concepts such as Cluster, Broker, Topics, Partitions, Producers, Consumers

  • Learn and master how consumers work together in a consumer group

  • Become proficient in advanced topics like partition distribution strategies, RAFT, consumer rebalancing strategies

  • Get all the required information to build your microservice applications using Apache Kafka

  • Apply all the learned information to any programming language, particularly C#/.NET

  • Prepare for the Confluent Certified Developer for Apache Kafka (CCDAK) certification

  • Why Choose This Course:

  • Clear, concise explanations of Kafka concepts

  • Practical examples  to reinforce your learning

  • Expert guidance on building Kafka applications in C#/.NET

  • Complete Kafka tour to start your distributed journey

  • Instructor support and a vibrant online community to address your queries

  • Who Should Take This Course

  • Anyone looking to learn how Apache Kafka works

  • Developers who want to learn Apache Kafka to build distributed applications

  • Architects who want to apply Apache Kafka to their solution architecture

  • C#/Java developers looking for hands-on tutorials to learn and integrate Kafka into their projects

  • This course assumes no prior  Kafka knowledge
    You will learn from an experienced Kafka instructor who will share his insights and best practices.

    Enroll today and start your journey to becoming a Kafka expert!

    Course Curriculum

    Chapter 1: Introduction

    Lecture 1: Before getting started

    Lecture 2: The problems before Kafka

    Lecture 3: The attributes you should look for

    Lecture 4: Kafka as a solution

    Lecture 5: What actually Kafka is not about

    Lecture 6: Section summary

    Chapter 2: Installing Kafka

    Lecture 1: Things you should consider before installing Kafka

    Lecture 2: Kafka binaries and app structure

    Lecture 3: Installing Kafka on plain Windows

    Lecture 4: The problems of Kafka on plain Windows

    Lecture 5: Installing Kafka using WSL2

    Lecture 6: Running Kafka for all major Operation Systems

    Lecture 7: Connecting to Kafka

    Lecture 8: Section summary

    Chapter 3: Kafka essentials (Brokers, Topics and Partitions)

    Lecture 1: Kafka Simplified

    Lecture 2: Cluster and Brokers

    Lecture 3: Running multiple brokers

    Lecture 4: Kafka Topics

    Lecture 5: Kafka partitions

    Lecture 6: Real-world simulation of Kafka Topics

    Lecture 7: Kafka Broker discovery

    Lecture 8: Introduction to Kafka CLI

    Lecture 9: Introduction to Kafka-topics CLI

    Lecture 10: Kafka Partitions in Practice with CLI

    Lecture 11: Other operations with Kafka-topics CLI

    Lecture 12: Topic Replication Factor

    Lecture 13: The concept of Leader Partition

    Lecture 14: Kafka consumers replica fetching

    Lecture 15: Topic replication factor in practice

    Lecture 16: Section Summary

    Chapter 4: Kafka Producer Essentials

    Lecture 1: Introduction to Producers

    Lecture 2: Producer Message internals

    Lecture 3: Producer in practice using CLI

    Lecture 4: Producer Message Serialization

    Lecture 5: Producer partition strategies

    Lecture 6: Producer acknowledgment essentials

    Chapter 5: Kafka Consumer and Consumer Groups Essentials

    Lecture 1: Introduction to Consumers

    Lecture 2: Consumer message Deserialization

    Lecture 3: Consumer in practice using CLI

    Lecture 4: Consumer delivery semantics

    Lecture 5: Introduction to Consumer Groups

    Lecture 6: Consumer Groups in practice using CLI

    Lecture 7: Manipulating offsets in Consumer Groups (Part 1)

    Lecture 8: Manipulating offsets in Consumer Groups (Part 2)

    Chapter 6: Advanced Kafka

    Lecture 1: Partition distribution strategies

    Lecture 2: RAFT- distributed consensus protocol

    Lecture 3: Consumer rebalancing essentials

    Lecture 4: Consumer rebalancing strategies and Static group membership

    Lecture 5: Deep dive into Compression types

    Chapter 7: Communication Strategies

    Lecture 1: Synchronous communication

    Lecture 2: Asynchronous communication

    Lecture 3: Event Streaming using Apache Kafka

    Chapter 8: Hands-on Producers using .NET and Apache Kafka

    Lecture 1: Getting started with .NET and Apache Kafka

    Lecture 2: Configuring a producer

    Lecture 3: Our first producer

    Lecture 4: Creating a Safe Producer

    Lecture 5: Producer retries

    Lecture 6: Primitive serialization

    Lecture 7: Complex type serialization

    Lecture 8: Custom serialization with IAsyncSerializer

    Lecture 9: High-performance producer

    Lecture 10: Producer idemportancy

    Lecture 11: min.insync.replica with producer acks in detail

    Chapter 9: Hands-on Consumers using .NET and Apache Kafka

    Lecture 1: Configuring a consumer

    Lecture 2: Our first consumer

    Lecture 3: Simple deserialization

    Lecture 4: Creating Custom deserializer

    Lecture 5: Commit Strategies

    Lecture 6: Manipulating offsets

    Lecture 7: Advanced consumer configurations

    Instructors

  • Apache Kafka for Distributed Systems  No.2
    Tural Suleymani
    Senior Software Developer / 2xMVP / Author /MCSD / Speaker
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  • 5 stars: 6 votes
  • Frequently Asked Questions

    How long do I have access to the course materials?

    You can view and review the lecture materials indefinitely, like an on-demand channel.

    Can I take my courses with me wherever I go?

    Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!