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Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekend Regular
(Class 3hr - 3:30Hrs) / Per Session
Weekend Fasttrack
(Class 4:30Hr - 5:00Hrs) / Per Session
No Interest Financing start at ₹ 5000 / month
Top Skills You Will Gain
- Apache Kafka Architecture
- Kafka Message Processing
- Kafka Security
- Kafka cluster configuration
- Apache Kafka concepts
- Kafka Ecosystem
- Kafka Stream Processing
- Kafka Authorization
Kafka Course Key Features 100% Money Back Guarantee
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Top Companies Placement
Companies are increasingly seeking for skilled experts with Kafka experience to aid in the development and execution of their big data strategies to keep up with the growing need for evidence-based decision making.
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Kafka Course Curriculam
Trainers Profile
Depending on competence and experience, Kafka offers a broad choice of course teachers. Most trainers have relevant industrial experience and a Bachelor's degree in a related discipline. Many know several languages and organisations.
Pre-requisites
A basic understanding of the Java programming language is necessary for taking a Kafka course. Other topics to be familiar with include distributed systems, data streaming technologies, messaging systems, scalability and fault tolerance.
Syllabus of Kafka Online Course Download syllabus
- Introduction to Big Data
- Big Data Analytics
- Need for Kafka
- Kafka Features
- Kafka Concepts
- Kafka Architecture
- Kafka Components
- 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
- Configuring Producers
- Consumer Groups and Partition Rebalance
- Creating a Kafka Consumer
- Subscribing to Topics
- The Poll Loop
- Configuring Consumers
- Commits and Offsets
- Rebalance Listeners
- Cluster Membership
- The Controller
- Broker Configuration
- Validating System Reliability
- Performance Tuning in Kafka
- Multi-Cluster Architectures
- Apache Kafka’s MirrorMaker
- Consumer Groups
- Dynamic Configuration Changes
- Partition Management
- Consuming and Producing
- Stream Processing
- Stream-Processing Concepts
- Stream-Processing Design Patterns
- Kafka Streams by Example
- Apache Hadoop Basics
- Hadoop Configuration
- Kafka Integration with Hadoop
- Apache Storm Basics
- Configuration of Storm
- Integration of Kafka with Storm
- Apache Spark Basics
- Spark Configuration
- Kafka Integration with Spark
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Kafka Training Objectives
- The goal of the Kafka Certification course is to provide professionals with a grounding in Apache Kafka. Kafka's architecture, fundamental principles, and operation are all discussed.
- The many parts of Kafka, including producers, consumers, brokers, topics, and partitions, are examined throughout the course. Kafka, Kafka Connect, stream processing, performance tweaking, security, and monitoring are some of the other subjects discussed.
- Create Kafka-based distributed streaming applications with high throughput
- Use Kafka to build programmes that are quick, dependable, and scalable.
- Get a firm grasp on the fundamental ideas behind the Kafka ecosystem
- Configure, construct, and administer Kafka clusters
- Kafka should be used for data collection, storage, processing, and analysis.
- Kafka is a widely used distributed streaming technology that facilitates decentralised, peer-to-peer data processing and message-oriented middleware.
- Its distributed design and scalability make it an attractive option for processing massive amounts of data.
- To that end, it's widely anticipated that this method will soon replace traditional approaches to data engineering and analytics.
- As more businesses start using analytics and other data-heavy programmes, this will become even more prevalent.
- Kafka's ability to be utilised in the development of systems that respond in real time to streaming data gives firms a leg up on the competition.
- Engineer in Data Science
- Big Data Developer
- Senior Software Engineer
- Data Warehouse Architect
- Big Data Analyst
- Kafka is an open-source framework for processing streams of data, created by the Apache Software Foundation.
- It's designed to make it easy for companies to start using real-time data in their daily operations.
- This is why more and more companies are turning to Apache Kafka to get access to streaming data for usage in areas like analytics and machine learning.
- Therefore, it is reasonable to expect Kafka to dominate the IT market in 2021.
- Kafka is poised to become one of the most important technologies of our time because to the proliferation and widespread adoption of cloud computing.
- There is a need for Kafka education, that much is certain. There is a growing need for administrators, developers, and operators with experience working with Apache Kafka as more companies use the platform as the backbone for their streaming services.
- Many companies now provide Apache Kafka training courses to assist their developers, administrators, and operations staff get up to speed on the platform as demand rises.
- Register for a free online laboratory space. Users may get hands-on experience with Kafka application development in a lab setting on sites like CloudKarafka, Confluent Cloud, or Aiven.
- Preconfigured scripts and tutorials are included with Apache Kafka to help you get started and learn the ropes.
- Use Kafka as a coding exercise. You may master the fundamentals of Kafka application development from a number of online books and courses.
- Get involved in a virtual group. Those interested in learning more about the Apache Kafka framework may do so by visiting one of the many online discussion groups maintained by the community.
- Kafka Administrator
- Kafka Architect
- Kafka Developer
- Kafka Consultant
- Kafka Solutions Engineer
- Become familiar with Kafka cluster setup and management.
- Know how Kafka is built and how it works.
- Get familiar with Kafka's inner workings, including its subjects, partitions, consumers, and producers.
- Realise the fundamentals of building and creating streaming applications with Kafka.
- Master Kafka Streams for the purpose of implementing real-time streaming applications.
- Kafka is an open source distributed streaming platform used for real-time communication between applications and data sources. It is often used for data streaming, change data capture, log aggregation, and messaging.
- By taking a Kafka course, individuals can learn the basics of the platform and gain expertise in key Kafka concepts and technologies, such as its architecture, messaging system, guarantee system, topics and partition, operations, and performance management.
- Completing a Kafka course can help an individual develop an understanding of how to set up, configure, and use Kafka clusters, and how to build consumer and producer-based applications.
- Additionally, a Kafka course could help individuals develop problem-solving skills when faced with operational and technical issues, as well as the ability to troubleshoot the system and optimize performance.
Kafka Course & Certification
- Solid understanding of distributed systems.
- Hands-on Kafka experience.
- Familiarity with Kafka ecosystem.
- Completed Kafka training or self-study.
- Familiarity with Kafka ecosystem tools.
Learnovita's certification demonstrates your commitment to mastering Kafka's concepts, architecture, and practical application. It can enhance your credibility and employability in roles that require Kafka knowledge, such as data engineering, stream processing, and real-time analytics.
- Data Engineer
- Streaming Engineer
- Data Architect
- Big Data Engineer
- Real-Time Analytics Developer
Yes, there is a variety of Kafka certifications offered by different organizations and platforms. These certifications cater to different levels of expertise and focus areas within Kafka and real-time data streaming.
- Kafka fundamentals and architecture.
- Cluster setup and configuration.
- Topic management.
- Producer and consumer setup.
- Real-time data streaming.

Pranav Srinivas
Software Testing, CapgeminiKafka Course FAQ's
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