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Apache Kafka

simplilearn
Online

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Description

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Opinions

K

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

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

26/02/2014
What I would highlight Excellent training by Simplilearn.

What could be improved Nothing

Would you recommend this course? Yes.
A

26/02/2014
What I would highlight Excellent training by Simplilearn.

What could be improved Nothing

Would you recommend this course? Yes.
N

10/02/2014
What I would highlight Very informative & interactive.

What could be improved Nothing

Would you recommend this course? Yes.
N

10/02/2014
What I would highlight Very informative & interactive.

What could be improved Nothing

Would you recommend this course? Yes.

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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