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Apache Kafka Course Certification Training

Apache Kafka

Become a skilled Apache Kafka expert with our in-depth Apache Kafka course

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Apache Kafka
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Apache Kafka Course Highlights

The Most Effective Apache Kafka Training

24 Hours of Live Instructor-Led Training

3 Real-Time Projects for Applied Learning

70+ Hours of MCQs and Assignments

20 Hours of Hands-on Training on Apache Kafka

Comprehensive Job Support including AI-Resume Builder

Apache Kafka is an open-source messaging infrastructure designed by LinkedIn and used by several major SaaS (Software as a Service) applications that we use on a daily basis. Kafka was designed to work with large scale data movements and offer seamless performance and reliability. Today when most IT professionals are dealing with a data deluge in the form of hundreds of billions of message, Kafka is the big data solution that you need!

Apache Kafka training will take you through the architectural design of Kafka that enables it to process large strings of data in real-time. Kafka stores, processes, and publishes streams of data records seamlessly as they occur and in a durable manner. The speed and performance of Kafka can be attributed to the fact that it runs as a cluster on multiple servers, enabling it to span across several data centers.

IT professionals can use Kafka certification to dive into the intrinsic architecture of Apache Kafka. Moreover, it helps to understand Kafka API streams, learn how it is developed on Java, and eventually develop cutting-edge big data solutions using Kafka.

Benefits of Apache Kafka:

Kafka course can enable organizations and professionals to process huge volumes of data and leverage the benefits of Big Data Analytics efficiently. Over 30% of today’s Fortune 500 companies, like LinkedIn, Yahoo, Netflix, Twitter, PayPal, Airbnb, etc. use Apache Kafka.

Individual Benefits:

  • Apache Kafka helps you to develop your own applications with ease.
    Get equipped to process large-scale data and kick-start a career in real-time analytics.
  • Kafka helps you to get into multiple industries which include business services, retail, finance, manufacturing, etc.
  • Enables you to work in profiles like Kafka Developer, Kafka Testing Professional, Kafka Project Managers, and Big Data Architect in Kafka.

According to PayScale, a Kafka professional can earn an average of $140,642 p.a. The salary range varies based on the experience, skills, and designation of an individual.

Organization benefits:

  • It helps organizations to handle large volumes of data.
    Enables transparent and seamless message handling while avoiding downtime.
  • Allows organizations to integrate with a variety of consumers.
    Implementation of Kafka helps to handle real-time data pipeline.

WHY KNOWLEDGEHUT FOR Apache Kafka Training

Get the KnowledgeHut Advantage

Instructor-led Live Classroom

Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning.

Curriculum Designed by Experts

Our courseware is updated with the latest tech advancements. Stay globally relevant and empower yourself with the latest tools and training!

Learn By Doing

Learn theory backed by practical case studies, exercises and coding. Get skills and knowledge that effectively apply in the real world.

Mentored by Industry Leaders

Learn from the best in the field right now and elevate your skills. Our mentors are all experienced professionals in the fields they teach.

Advance from the Basics

Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.

Code Reviews by Professionals

Get detailed reviews and constructive feedback on your final projects from professional developers with extensive industry experience.

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Apache Kafka Projects

Build Up an Impressive Project Portfolio
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Content Messaging

Content Messaging in The New York Times

Content Messaging
At The New York Times they have a number of different systems that are used for producing content. Furthermore, given 161 years of journalism and 21 years of publishing content online, they have huge archives of content that still need to be available online. Despite having a lot of obvious benefits, databases can be difficult to manage in the long run. Log-based architectures solve this problem by making the log the source of truth. Furthermore, a log-based architecture simplifies accessing streams of content. Every system that creates content, when it’s ready to be published, will write it to the Monolog, where it is appended to the end. In Apache Kafka, the Monolog is implemented as a single-partition topic. It’s single-partition because they want to maintain the total ordering specifically, they want to ensure that when customers are consuming the log, you always see a referenced asset before the asset doing the referencing. They do this using Kafka Streams, and the ability to scale up the number of application instances reading from the denormalized log allows them to do a very fast replay of our entire publication history.
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Kafka stream API in Pinterest

Kafka Stream API in Pinterest

Stream API
At Pinterest, they use Kafka Streams API to provide inflight spend data to thousands of ads servers in mere seconds. But in some areas they were facing issues like over delivery. Over delivery occurs when free ads are shown for out-of-budget advertisers. This problem is difficult to solve due to two reasons: Real time spend data and predictive spend. So as a solution for this, Pinterest uses Kafka Streams and it gives them following advantages: Millisecond delay: Kafka streams has a millisecond delay guarantee that beats Spark and Flink. Lightweight: Kafka Streams is a Java application with no heavy external dependencies like dedicated clusters which minimizes maintenance costs. Using Apache Kafka Streams’ API to build a predictive spend pipeline was a new initiative for Pinterest ads infrastructure and it turned out to be fast stable, fault-tolerant and scalable.
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Analytical Pipeline using Kafka in Trivago

Analytical Pipeline
Trivago is a global hotel search platform. They are focused on reshaping the way travellers search for and compare hotels. As of 2017, they offer access to approximately 1.8 million hotels and other accommodations in over 190 countries. They use Kafka, Kafka Connect, and Kafka Streams to enable our developers to access data freely in the company. Before using Kafka at the time of reading their own writes they were facing issues like session pinning, server stickiness issues like Invalid caches due to race conditions. After implementing Kafka in environment Trivago started gaining various Advantages Like Clickstream and application log transport, Change set Streams, Transport + Storage, Stream Processing. Generate efficient views, joining different streams, filter map and aggregate data. Focus on expertise for data inside the bounded context, deliver best data quality.
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Apache Kafka TRAINING COURSE REVIEWS

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Well-structured content

I recently completed a course with KnowledgeHut and had a fantastic experience. The course content was well-structured, combining theoretical knowledge with practical application. Instructors were knowledgeable and engaging, making complex concepts easy to understand.

The platform was user-friendly, and the supportive community of fellow learners added great value to the experience. Overall, I highly recommend KnowledgeHut for anyone looking to upskill or advance their career!

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Data Analyst
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I found a course that suited my timezone and preferred dates easily, and the course presenter was really very good. I learned a lot. I plan on using KnowledgeHut again for future certifications as I found everything stress-free and easy (picking a suitable teacher and course, paying, all the correspondence, logging into the portal to attend the course etc etc). Overall very impressed and happy with the service.

Kari Elise
Kari Elise
Project Manager
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Talented trainers

Knowledge hut is a great space to enhance your learning journey. They have a wide variety of courses along with some exceptionally talented trainers who deep dive into the topic and explain. I have completed 2 certifications via knowledge hut and I am very well satisfied with them.

Anshruta Srivastava
Anshruta Srivastava
Data Architect
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Helpful coordinators

KnowledgeHut has provided the easiest and smooth way of Learning as well as getting Certified. Also, the Coordinators are so helpful and understanding that they never let the Learners face any kind of issues in the whole process. I would recommend everyone who has a vision of growing their professional career should give KnowledgeHut a try.

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Sandeep Singh
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Prerequisites for Apache Kafka Training

Prerequisites and Eligibility
Prerequisites and Eligibility

Apache Kafka Course Curriculum

Curriculum

1. Introduction to Big Data and Kafka

Learning Objectives:

Understand where Kafka fits in the Big Data space, and learn about Kafka Architecture. Also, learn about Kafka Cluster, its Components, and how to configure a Cluster.

Topics:

  • Introduction to Big Data
  • Big Data Analytics
  • Need for Kafka
  • What is Kafka?
  • Kafka Features
  • Kafka Concepts
  • Kafka Architecture
  • Kafka Components
  • ZooKeeper
  • Where is Kafka Used?
  • Kafka Installation
  • Kafka Cluster
  • Types of Kafka Clusters

Hands-on:

  • Kafka Installation
  • Implementing Single Node-Single Broker Cluster

2. Kafka Producer

Learning Objectives:

Learn how to construct a Kafka Producer, send messages to Kafka, send messages Synchronously & Asynchronously, configure Producers, serialize using Apache Avro and create & handle Partitions.

Topics:

  • Configuring Single Node Single Broker Cluster
  • Configuring Single Node Multi Broker Cluster
  • Constructing a Kafka Producer
  • Sending a Message to Kafka
  • Producing Keyed and Non-Keyed Messages
  • Sending a Message Synchronously & Asynchronously
  • Configuring Producers
  • Serializers
  • Serializing Using Apache Avro
  • Partitions

Hands-on:

  • Working with Single Node Multi Broker Cluster
  • Creating a Kafka Producer
  • Configuring a Kafka Producer
  • Sending a Message Synchronously & Asynchronously

3. Kafka Consumer

Learning Objectives:

Learn to construct Kafka Consumer, process messages from Kafka with Consumer, run Kafka Consumer and subscribe to Topics.

Topics:

  • Consumers and Consumer Groups
  • Standalone Consumer
  • Consumer Groups and Partition Rebalance
  • Creating a Kafka Consumer
  • Subscribing to Topics
  • The Poll Loop
  • Configuring Consumers
  • Commits and Offsets
  • Rebalance Listeners
  • Consuming Records with Specific Offsets
  • Deserializers

Hands-on:

  • Creating a Kafka Consumer
  • Configuring a Kafka Consumer
  • Working with Offsets

What You'll Learn in the Apache Kafka Course

Learning Objectives
Kafka Introduction

Learns the basics of Kafka messaging system in Big Data, Kafka architecture, and its configuration.

Kafka and Big Data

Know about Kafka and its components, and how Kafka technology helps in processing real-time data.

Kafka APIs

Learn ways to construct and process messages in Kafka APIs such as producers, consumers, etc.

Kafka Example

Learn how to design and develop robust messaging and subscribe topics on various platforms.

Cluster Architecture

Learn about Kafka cluster and how it integrates with other Big Data Frameworks like Hadoop.

Kafka Integration

Understand and learn various methods and the importance to Integrate Kafka with Storm, Spark.

Who Can Attend the Apache Kafka Course

Who This Course Is For
  • Data Scientists
  • ETL Developers
  • Data Analysts
  • BI Analysts & Developers
  • SAS Developers
  • Big Data Professionals
  • Big Data Architects
  • Project Managers
  • Research professionals
  • Analytics professionals
  • Professionals aspiring for a career in Big Data
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Apache KafKa Course FAQs

Frequently Asked Questions
Course Overview

1. What are the prerequisites for learning Apache Kafka?

While there are no prerequisites as such, knowledge of Java basics will help you grasp Kafka concepts faster.

2. Why should I learn Apache Kafka?

Kafka is a durable, scalable, and reliable messaging system which has integration with Hadoop and Spark. Big Data analytics has proven to provide significant business benefits, and more organizations are seeking to hire professionals who can extract crucial information from structured and unstructured data. Hadoop for many years was the undisputed leader in data analytics but a technology that has now proven itself to be faster and more efficient is Apache Kafka. Developed in the labs of LinkedIn, it is written in Java and Scala and is fast, scalable and distributed by design. As more and more organizations are reaping the benefits of data analysis through Kafka, there is a huge demand for Kafka experts. And hence this is the right time to enroll for this course.

3. Who should take the Apache Kafka course?

Kafka course is designed for professionals who want to learn Kafka techniques and apply it to Big Data clusters. It is highly recommended for:

  • Developers, who want to gain acceleration in their career as "Kafka Big Data Developers"
  • Testing Professionals, who are currently involved in Queuing and Messaging Systems
  • Big Data Architects, who like to include Kafka in their ecosystem
  • Project Managers, who are working on projects related to Messaging Systems
  • Admins, who want to gain acceleration in their careers as "Apache Kafka Administrators”

4. What should be the system requirements for me to learn Apache Kafka online?

Following are the system requirements to learn Apache Kafka course online:

  • Windows/ Mac/ Linux machine
  • Minimum 4GB of RAM
  • 5GB of disk space
  • i3 Processor or above
  • An operating system of 64 bit
  • Internet speed: Minimum 1 Mb/s
  • The machines should support a 64-bit VirtualBox guest image
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RECOMMENDED Articles for Apache Kafka Professionals

Expert Articles on Apache Kafka
Our seasoned experts, drawing from their extensive hands-on experiences in Apache Kafka concepts, have crafted insightful articles tailored for you. Gain a deep understanding of the industry's dynamics and pave your way to a promising career in Apache Kafka with our curated content.

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