Instructor-led Apache Kafka Certification live Online Training Schedule

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25,000.00 Duration: 25 Hours
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About your Apache Kafka Certification Training

Skills Covered

Kafka installation and configuration
Stream processing with Kafka
Data integration using Kafka Connect
Cluster management and monitoring
Security configurations in Kafka

Tools Covered

Apache Kafka
Kafka Streams
Kafka Connect
Confluent Kafka
Monitoring tools like Grafana and Prometheus for Kafka

Apache Kafka Certification Training Syllabus

Curriculum Designed by Experts

Introduction to Apache Kafka
Topics
  • Understanding Big Data and Stream Processing
  • Fundamental Concepts of Kafka and its Components
Topics
  • Deep dive into Kafka Architecture
  • Installing and configuring Kafka
Topics
  • Developing and managing Kafka Producers
  • Developing and managing Kafka Consumers
Topics
  • Basics of stream processing
  • Building streaming applications with Kafka Streams
Topics
  • Kafka Connect for data integration
  • Integrating Kafka with various data systems (Hadoop, Spark)
Topics
  • Kafka Cluster setup
  • Managing and monitoring Kafka clusters
Topics
  • Kafka Security setup (Authentication, Authorization, Encryption)
  • Understanding Kafka’s reliability and durability mechanisms

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Why Apache Kafka Certification Training From Xpertised Learning

Live Interactive Classes

  • Top-Tier Trainers
  • Real Time Guidance by Industrial Experts
  • In Class Doubt Clearance

Resource Access

  • Life Time Access to Resource Library

Support

  • One-to-One Lab and Training Assistance
  • Help Desk Support
  • Doubt Clearance in Real-time

Project Based Learning

  • Labs and Learning Based from Industrial Experts
  • Learning Based on Project Scenarios

Certification

  • Xpertised Learning Training Certificate
  • Certificate of Completion

Labs

  • Cloud based Labs *Labs based on course requirement only

Apache Kafka Certification Training Details

The Apache Kafka Certification Training Course provides an in-depth understanding of Apache Kafka architecture, its integration with various messaging systems, and how to set up real-time data pipelines and streaming applications. The course covers both basic and advanced features of Kafka.

  • Develop skills in Apache Kafka, a leading platform for real-time data streaming, making you an attractive candidate for roles in data engineering and analytics.
  • Enhance your career prospects by mastering a technology used by many organizations for high-throughput, low-latency data pipelines.
  • Stay ahead in the tech industry by acquiring expertise in a cutting-edge tool, ensuring your skills remain relevant and in-demand.
  • In-depth knowledge of Kafka’s architecture and ecosystem.
  • Practical experience in setting up, managing, and troubleshooting Kafka clusters.
  • Ability to design and implement robust streaming solutions using Kafka.
  • Kafka installation and configuration
  • Stream processing with Kafka
  • Data integration using Kafka Connect
  • Cluster management and monitoring
  • Security configurations in Kafka
  • Apache Kafka
  • Kafka Streams
  • Kafka Connect
  • Confluent Kafka
  • Monitoring tools like Grafana and Prometheus for Kafka
  • To prepare participants for the Apache Kafka certification exam.
  • To provide hands-on experience in building, managing, and scaling Kafka systems.
  • To equip participants with the skills to integrate Kafka with different Big Data tools for comprehensive data solutions.
  • Data Engineers and Architects
  • Software Developers and IT Professionals involved in messaging and stream processing
  • System Administrators and DBAs focusing on data ingestion and streaming
  • Basic knowledge of Java or Scala programming
  • Familiarity with Linux command line operations
  • Understanding of basic concepts of databases and distributed systems
  • Comprehensive understanding of Kafka’s architecture and operations.
  • Skills to set up Kafka clusters and manage them effectively.
  • Techniques to create real-time data streaming applications using Kafka.
  • A computer with at least 8GB of RAM (16GB recommended for better performance).
  • Stable internet connection for accessing online resources and cloud-based tools.
  • Linux, Mac OS X, or Windows operating system.
  • Apache Kafka expertise opens career opportunities in various roles such as Kafka Developer, Data Engineer, and Systems Architect in industries like finance, retail, telecommunication, and technology.

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