What programming languages are used in the course?

The Apache Kafka training course primarily uses Java for coding examples and exercises, as Kafka itself is written in Java. Some exercises may also involve Scala and command-line scripts.

Is a certificate provided upon completion of the course?

Yes, a course completion certificate is allocated upon completing all graded assignments and quizzes present in the Kafka Fundamentals course.

Are there any prerequisites to join this Kafka course?

Prior Kafka knowledge is not required; however, learners should be familiar with programming fundamentals (Java or Python) and comprehend distributed computing ideas.

What will I be able to do after completing this course?

You'll be able to describe Kafka's architecture and components, install and set up Zookeeper and Kafka clusters, create and consume messages, handle serializers/deserializers, manage offsets, and build up basic streaming workflows.

When will I have access to the lectures and assignments?

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Kafka Fundamentals

kurs ist nicht verfügbar in Deutsch (Deutschland)

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Kafka Fundamentals

Dieser Kurs ist Teil von Spezialisierung „Apache Kafka“

Unterrichtet in Deutsch (KI-Synchronisation)

Dozent: LearnKartS

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3 Module

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3 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

41 Bewertungen

Stufe Anfänger

Empfohlene Erfahrung

5 Stunden zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

Learn Kafka's key features, components, architecture, and industry use cases.
How to Set up Kafka environments and install Zookeeper and Kafka
Learn Kafka producer and consumer basics, configurations, and operations. Work with serializers and deserializers, and manage offsets.
Understand data evolution, the significance of big data, analytics applications, and messaging systems.

Kompetenzen, die Sie erwerben

Kategorie: Data Pipelines
Kategorie: Data Processing
Kategorie: Event-Driven Programming
Kategorie: Live Streaming
Kategorie: Real Time Data
Kategorie: Distributed Computing

Werkzeuge, die Sie lernen werden

Kategorie: Apache Kafka

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12 Aufgaben

Unterrichtet in Deutsch (KI-Synchronisation)

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of learners achieved a positive career outcome

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In diesem Kurs gibt es 3 Module

In a data-driven world, real-time processing is no longer optional—it's required. This Apache Kafka Fundamentals is a beginner-friendly but in-depth course for developers, data engineers, system administrators, and IT professionals who want to understand the fundamentals of Apache Kafka and its role in creating modern, high-performance data pipelines.

You will begin by studying the growth of data systems and the growing significance of big data, analytics, and messaging platforms. Then explore Apache Kafka's architecture, including its key components (partitions, producers, consumers, and brokers), as well as how it handles distributed messaging at scale. You'll learn how to install and set up Kafka and Zookeeper, as well as how to create and operate producers and consumers. You'll also work with crucial features including serializers, deserializers, offset management, and consumer group rebalancing. Hands-on demos, videos, and graded assignments will provide you with practical experience with Kafka in real-world streaming applications. By the end, you'll be able to design and build scalable streaming applications using Apache Kafka. Enroll today and take the first step toward the future of real-time data.

Moduldetails

This module provides an overview of Big Data, messaging systems, and Apache Kafka, including installation and setup demonstrations. By the end of this, learners will be able to install and configure the Kafka environment.

Das ist alles enthalten

16 Videos5 Lektüren4 Aufgaben

16 VideosInsgesamt 49 Minuten

Course Introduction2 Minuten
Data Evolution Over Time4 Minuten
Big Data Overview2 Minuten
Big Data Analytics3 Minuten
Messaging System6 Minuten
Introduction and Features of Kafka4 Minuten
Kafka Use Cases4 Minuten
Kafka Terminologies1 Minute
Kafka Components7 Minuten
Kafka Architecture1 Minute
Kafka Clusters1 Minute
Kafka Industry Use Cases2 Minuten
DEMO: Install Zookeeper3 Minuten
DEMO: Install Kafka2 Minuten
DEMO: Set up a Single Node Single Broker Cluster3 Minuten
DEMO: Set up a Multi-Node Single Broker Cluster3 Minuten

5 LektürenInsgesamt 21 Minuten

Specialization Introduction4 Minuten
Introduction and Syllabus2 Minuten
Security Lessons from the 2017 Equifax Data Breach5 Minuten
Summary5 Minuten
From Single Broker Setup to Distributed Kafka Clusters – Understanding the Architectural Shift5 Minuten

4 AufgabenInsgesamt 26 Minuten

Big Data Evolution4 Minuten
Kafka Basics6 Minuten
Zookeeper and Kafka Cluster Setup4 Minuten
Big Data and Apache Kafka12 Minuten

This module provides an overview of Kafka Producer, covering its architecture and configuration. By completing this module, learners will be able to create and configure Kafka Producers, handle message serialization, and manage partitioning.

Das ist alles enthalten

12 Videos2 Lektüren4 Aufgaben

12 VideosInsgesamt 46 Minuten

Overview of Producer and Architecture4 Minuten
Kafka Producer Configuration2 Minuten
Kafka Producer Optional Configuration3 Minuten
Kafka Producer Configuration Objects7 Minuten
DEMO: Create a Kafka Producer2 Minuten
Sending Messages5 Minuten
Serializers and Custom Serializers3 Minuten
DEMO: Creating a Custom Serializer4 Minuten
Serializers Challenges and Serializing Using Apache Avro4 Minuten
DEMO: Serializing Using Apache Avro3 Minuten
Partitions4 Minuten
DEMO: Set up Custom Partition4 Minuten

2 LektürenInsgesamt 10 Minuten

Understanding Serialization in Kafka – From Basic Messages to Structured Data5 Minuten
Summary5 Minuten

4 AufgabenInsgesamt 32 Minuten

Configuring Kafka Producers6 Minuten
Working with Serializer6 Minuten
Kafka Partitions8 Minuten
Kafka Producer12 Minuten

This module introduces Kafka Consumer fundamentals, including consumer groups, offset management, and deserialization techniques. By completing this module, learners will gain the ability to create Kafka Consumers, effectively manage offsets, and implement custom deserializers for efficient data processing.

Das ist alles enthalten

17 Videos3 Lektüren4 Aufgaben

17 VideosInsgesamt 51 Minuten

Overview of Kafka Consumer3 Minuten
Consumer Groups4 Minuten
Partition Rebalance and Creating a Consumer4 Minuten
Poll Loop and Its Functioning3 Minuten
Configuring Kafka Consumer: fetch.min.bytes, fetch.max.wait.ms, max.partition.fetch.bytes, session.timeout.ms5 Minuten
Kafka Consumer Configuration: auto.offset.reset, enable.auto.commit, partition.assignment.strategy, client.id, max.poll.records, receive.buffer.bytes, send.buffer.bytes6 Minuten
DEMO: Create Kafka Consumer3 Minuten
Commit and Offset4 Minuten
Ways of Committing Offset - Automatic Offset2 Minuten
Ways of Committing Offset - Commit Current Offset2 Minuten
Ways of Committing Offset - Asynchronous Commit2 Minuten
Ways of Committing Offset - Synchronous and Asynchronous Offset1 Minute
Ways of Committing Offset - Commit Specified Offset1 Minute
Rebalance Listeners2 Minuten
Consuming Records with Specific Offset4 Minuten
Introduction to Deserializers3 Minuten
DEMO: Create and Use a Custom Deserializer2 Minuten

3 LektürenInsgesamt 12 Minuten

Understanding Kafka Consumers – Coordination, Rebalancing, and Reliability5 Minuten
Mastering Offset Management in Kafka – Reliability, Control, and Data Consistency5 Minuten
Course Synopsis2 Minuten