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    Course Details

    Apache Kafka is publish-subscribe messaging rethought as a distributed commit log and it is a fast, scalable and fault-tolerant messaging system. Kafka works in combination with Apache Storm, Apache HBase and Apache Spark for real-time analysis and rendering of streaming data. None of the Big Data project can be implemented without queuing. There are few traditional queuing systems available like JMS, RabbitMQ, AMQP etc. But the features of Kafka like scalability, Fault tolerance, High throughput, Durability, low latency etc. makes it a single choice in modern data architecture.

    Apache Kafka 2.x Training Overview

    Our Apache Kafka Certification training course will encompass the fundamental concepts like Kafka cluster, Kafka API, including advance topics such as Kafka integration with Hadoop, Storm, Spark, Maven, etc. The course also includes installation of Kafka on a single node and in cluster, performing various operations in Kafka, monitoring Kafka using administration tools and Kafka’s comparison with other messaging queue etc.

    Apache Kafka Certification Training Curriculum

    In this module, you will understand Big Data, Kafka and its Architecture.

    Introduction to Big Data
    Big Data Customer Scenarios
    What is Kafka?
    Need for Kafka
    Core Concepts of Kafka
    Kafka Architecture
    Where is Kafka Used?

    In this module, you will be instructed about the details of Kafka Custer and you learn all the components of Kafka Cluster in detail.

    Understanding the components of Kafka Cluster
    Installation of Kafka Cluster
    Configuring Kafka Cluster
    Producer of Kafka
    Consumer of Kafka
    Producer and Consumer in Action.

    In this module, you will understand Kafka Operations and Performance Tuning

    Offset
    Design
    Hardware
    Kafka Monitoring and Issues
    Kafka Performance Tuning
    Reading data from Kafka
    Demo-Twitter Kafka Producer
    Introduction to Scala
    Mixed Paradigm-Functional Programming
    Scala Installation & Configuration
    Scala REPL
    Scala Project Using Eclipse

    In this module, you will understand how to integrate Kafka with Big Data frameworks like Hadoop and Storm.

    Understanding the Hadoop Cluster
    Integrating Kafka with Hadoop Cluster
    Understanding Apache Storm
    Implementing Spouts and Bolts
    Kafka with Storm Spout.

    In this module, you will understand Spark Ecosystem, Configuring Spark Cluster, Integrating Kafka with Spark and Twitter, Use cases with Kafka, Storm and Hadoop.

    Ecosystem of Spark
    Understanding the Spark Cluster
    Integrating Kafka with Spark.

    Faqs

    Our trainers have relevant experience in implementing real-time solutions on different queries related to different topics. Mindmajix verifies their technical background and expertise.

    We record each LIVE class session you undergo through and we will share the recordings of each session/class.

    Trainer will provide the Environment/Server Access to the students and we ensure practical real-time experience and training by providing all the utilities required for the in-depth understanding of the course.

    If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within 48 hours of initial registration. Please make a note that refunds will be processed within 30 days of prior request.

    The Training itself is Real-time Project Oriented.

    Yes. All the training sessions are LIVE Online Streaming using either through WebEx or GoToMeeting, thus promoting one-on-one trainer student Interaction.

    There are some Group discounts available if the participants are more than 2.

    As we are one of the leading providers of Online training, We have customers from USA, UK, Canada, Australia, UAE, Qatar, NZ, Singapore, Malaysia, India and other parts of the world. We are located in USA. Offering Online Training in Cities like

    Minneapolis, Melbourne, Jacksonville, Davidson, Murfreesboro, Auckland, Carlsbad,  San Marcos, Tacoma, Bellevue, Garland, Raleigh-Cary, Fort Lauderdale, Miami, Toronto, Wellington, Gilbert, Tempe, Alexandria, Chandler, Scottsdale, Peoria, Honolulu, Raleigh, Nashville, Plano, Montreal, Calgary, Edmonton, Saint John, Vancouver, Richmond, Mississauga, Saskatoon, Kingston, Kelowna, Hyderabad, Bangalore, Pune, Mumbai, Delhi, Dubai, Doha, Brisbane, Perth etc…

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