simplilearn

      Apache Kafka

      4.3 fantastic 6 opinions
      simplilearn
      Online

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      Important information

      Typology Course
      Methodology Online
      • Course
      • Online
      Description

      Simplilearn is the World’s Largest Certification Training Provider, with over 400,000+ professionals trained globally
      Trusted by the Fortune 500 companies as their learning provider for career growth and training
      2000+ certified and experienced trainers conduct trainings for various courses across the globe
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      Opinions

      4.3
      fantastic
      Course rating
      100%
      Recommended
      4.5
      excellent
      Centre rating

      Reviews on this course

      K
      Komal Mehta
      3.5 27/02/2014
      What I would highlight: Simplilearn's PMI-ACP training was extremely useful in giving me knowledge beyond the book content. The trainer was extremely knowledgeable in clearing real problems and practical solutions of implementing agile.
      What could be improved: Nothing
      Would you recommend this course?: Yes
      K
      Komal Mehta
      3.5 27/02/2014
      What I would highlight: Simplilearn's PMI-ACP training was extremely useful in giving me knowledge beyond the book content. The trainer was extremely knowledgeable in clearing real problems and practical solutions of implementing agile.
      What could be improved: Nothing
      Would you recommend this course?: Yes
      A
      Ayesha Siddiqha
      4.5 26/02/2014
      What I would highlight: Excellent training by Simplilearn.
      What could be improved: Nothing
      Would you recommend this course?: Yes
      A
      Ayesha Siddiqha
      4.5 26/02/2014
      What I would highlight: Excellent training by Simplilearn.
      What could be improved: Nothing
      Would you recommend this course?: Yes
      N
      Nitin Azeez
      5.0 10/02/2014
      What I would highlight: Very informative & interactive.
      What could be improved: Nothing
      Would you recommend this course?: Yes
      N
      Nitin Azeez
      5.0 10/02/2014
      What I would highlight: Very informative & interactive.
      What could be improved: Nothing
      Would you recommend this course?: Yes
      Reviews gathered by Emagister & iAgora

      Achievements for this centre

      2017
      2016

      How do you get the CUM LAUDE seal?

      All courses are up to date

      The average rating is higher than 3.7

      More than 50 reviews in the last 12 months

      This centre has featured on Emagister for 3 years

      What you'll learn on the course

      Apache

      Course programme

      Course Preview
      • Apache Kafka
        • Lesson 00 - Course introduction
          • 0.1 Course Introduction
          • 0.2 Course Objectives
          • 0.3 Course Overview
          • 0.4 Target Audience
          • 0.5 Prerequisites
          • 0.6 Lessons Covered
          • 0.7 Conclusion
        • Lesson 01 - Big Data Overview
          • 1.1 Lesson 1—Big Data Overview
          • 1.2 Objectives
          • 1.3 Big Data—Introduction
          • 1.4 The Three Vs of Big Data
          • 1.5 Data Volume
          • 1.6 Data Sizes
          • 1.7 Data Velocity
          • 1.8 Data Variety
          • 1.9 Data Evolution
          • 1.10 Features of Big data
          • 1.11 Industry Examples
          • 1.12 Big Data Analysis
          • 1.13 Technology Comparison
          • 1.14 Stream
          • 1.15 Apache Hadoop
          • 1.16 Hadoop Distributed File System
          • 1.17 MapReduce
          • 1.18 Real-Time Big Data Tools
          • 1.19 Apache Kafka
          • 1.20 Apache Storm
          • 1.21 Apache Spark
          • 1.22 Apache Cassandra
          • 1.23 Apache Hbase
          • 1.24 Real-Time Big Data Tools—Uses
          • 1.25 Real-Time Big Data—Use Cases
          • 1.26 Quiz
          • 1.27 Summary
          • 1.28 Conclusion
        • Lesson 02 - Introduction to Zookeeper
          • 2.1 Introduction to ZooKeeper
          • 2.2 Objectives
          • 2.3 ZooKeeper—Introduction
          • 2.4 Distributed Applications
          • 2.5 Challenges of Distributed Applications
          • 2.6 Partial Failures
          • 2.7 Race Conditions
          • 2.8 Deadlocks
          • 2.9 Inconsistencies
          • 2.10 ZooKeeper Characteristics
          • 2.11 ZooKeeper Data Model
          • 2.12 Types of Znodes
          • 2.13 Sequential Znodes
          • 2.14 VMware
          • 2.15 Simplilearn Virtual Machine
          • 2.16 PuTTY
          • 2.17 WinSCP
          • 2.18 Demo—Install and Setup VM
          • 2.19 Demo—Install and Setup VM
          • 2.20 ZooKeeper Installation
          • 2.21 ZooKeeper Configuration
          • 2.22 ZooKeeper Command Line Interface
          • 2.23 ZooKeeper Command Line Interface Commands
          • 2.24 ZooKeeper Client APIs
          • 2.25 ZooKeeper Recipe 1: Handling Partial Failures
          • 2.26 ZooKeeper Recipe 2: Leader Election
          • 2.27 Quiz
          • 2.28 Summary
          • 2.29 Conclusion
        • Lesson 03 - Introduction to Kafka
          • 3.1 Lesson 3 Introduction to Kafka
          • 3.2 Objectives
          • 3.3 Apache Kafka—Introduction
          • 3.4 Kafka History
          • 3.5 Kafka Use Cases
          • 3.6 Aggregating User Activity Using Kafka—Example
          • 3.7 Kafka Data Model
          • 3.8 Topics
          • 3.9 Partitions
          • 3.10 Partition Distribution
          • 3.11 Producers
          • 3.12 Consumers
          • 3.13 Kafka Architecture
          • 3.14 Types of Messaging Systems
          • 3.15 Queue System—Example
          • 3.16 Publish-Subscribe System—Example
          • 3.17 Brokers
          • 3.18 Kafka Guarantees
          • 3.19 Kafka at LinkedIn
          • 3.20 Replication in Kafka
          • 3.21 Persistence in Kafka
          • 3.22 Quiz
          • 3.23 Summary
          • 3.24 Conclusion
        • Lesson 04 - Installation and Configuration
          • 4.1 Lesson 4—Installation and Configuration
          • 4.2 Objectives
          • 4.3 Kafka Versions
          • 4.4 OS Selection
          • 4.5 Machine Selection
          • 4.6 Preparing for Installation
          • 4.7 Demo 1—Kafka Installation and Configuration
          • 4.8 Demo 1—Kafka Installation and Configuration
          • 4.9 Demo 2—Creating and Sending Messages
          • 4.10 Demo 2—Creating and Sending Messages
          • 4.11 Stop the Kafka Server
          • 4.12 Setting up Multi-Node Kafka Cluster—Step 1
          • 4.13 Setting up Multi-Node Kafka Cluster—Step 2
          • 4.14 Setting up Multi-Node Kafka Cluster—Step 3
          • 4.15 Setting up Multi-Node Kafka Cluster—Step 4
          • 4.16 Setting up Multi-Node Kafka Cluster—Step 5
          • 4.17 Setting up Multi-Node Kafka Cluster—Step 6
          • 4.18 Quiz
          • 4.19 Summary
          • 4.20 Conclusion
        • Lesson 05 - Kafka Interfaces
          • 5.1 Lesson 5—Kafka Interfaces
          • 5.2 Objectives
          • 5.3 Kafka Interfaces—Introduction
          • 5.4 Creating a Topic
          • 5.5 Modifying a Topic
          • 5.6 kafka-topics.sh Options
          • 5.7 Creating a Message
          • 5.8 kafka-console-producer.sh Options
          • 5.9 Creating a Message—Example 1
          • 5.10 Creating a Message—Example 2
          • 5.11 Reading a Message
          • 5.12 kafka-console-consumer.sh Options
          • 5.13 Reading a Message—Example
          • 5.14 Java Interface to Kafka
          • 5.15 Producer Side API
          • 5.16 Producer Side API Example—Step 1
          • 5.17 Producer Side API Example—Step 2
          • 5.18 Producer Side API Example—Step 3
          • 5.19 Producer Side API Example—Step 4
          • 5.20 Producer Side API Example—Step 5
          • 5.21 Consumer Side API
          • 5.22 Consumer Side API Example—Step 1
          • 5.23 Consumer Side API Example—Step 2
          • 5.24 Consumer Side API Example—Step 3
          • 5.25 Consumer Side API Example—Step 4
          • 5.26 Consumer Side API Example—Step 5
          • 5.27 Compiling a Java Program
          • 5.28 Running the Java Program
          • 5.29 Java Interface Observations
          • 5.30 Exercise 1—Tasks
          • 5.31 Exercise 1—Tasks (contd.)
          • 5.32 Exercise 1—Solutions
          • 5.33 Exercise 1—Solutions (contd.)
          • 5.34 Exercise 1—Solutions (contd.)
          • 5.35 Exercise 2—Tasks
          • 5.36 Exercise 2—Tasks (contd.)
          • 5.37 Exercise 2—Solutions
          • 5.38 Exercise 2—Solutions (contd.)
          • 5.39 Exercise 2—Solutions (contd.)
          • 5.40 Exercise 2—Solutions (contd.)
          • 5.41 Exercise 2—Solutions (contd.)
          • 5.42 Quiz
          • 5.43 Summary
          • 5.44 Thank You

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