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Item number: 122479651

Apache Kafka Training

Item number: 122479651

Apache Kafka Training

159,00 192,39 Incl. tax

Order this unique E-Learning Training Apache Kafka online, 1 year 24/7 access to rich interactive videos, progress through reporting and testing.

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Apache Kafka E-Learning

Order this unique E-Learning Apache Kafka course online, 1 year 24/7 access to rich interactive videos, voice, progress monitoring through reports.

Apache Kafka is a high-performance, distributed, partitioned, replicated messaging and commit log system. It is written in Scala to run on the Oracle Java virtual machine (JVM). Kafka was originally developed by LinkedIn to meet their very high and specific performance targets, and has since been open sourced. This path of courses covers an overview of Apache Kafka, the architecture, and how to interact with it from an Ops perspective, and as a developer.

Course content

Kafka Concepts

Course: 28 Minutes

  • Course Introduction
  • What is Kafka?
  • Kafka Architecture
  • Partitions
  • Topics
  • Replicas

Kafka Components

Course: 12 Minutes

  • Producers
  • Consumers
  • Brokers

Deployment

Course: 21 Minutes

  • Hardware Specifications
  • Deployment Overview
  • Red Hat and CentOS deployment
  • Puppet Deployment

Operating Tasks

Course: 36 Minutes

  • Adding and Removing a Broker
  • Balancing Data and Partitions for Performance
  • Add New Topics
  • Scaling Producers
  • Scaling Consumers

Monitoring

Course: 25 Minutes

  • Kafka Web Console
  • Kafka Offset Monitor
  • Monitoring with Graphite
  • Monitoring with JMX
  • Using Kafka Log Files

Tuning

Course: 9 Minutes

  • Kernel Tuning
  • Disk Throughput Tuning
  • JVM Tuning

Practice: Operate Apache Kafka

Course: 7 Minutes

  • Exercise: Operating Apache Kafka

Reading from Kafka

13 Minutes

  • Course Introduction
  • High-Level Consumer API
  • Simple Consumer API
  • Hadoop Consumer API

Configuration Settings

Course: 19 Minutes

  • Broker Configuration Settings
  • Consumer Configuration Settings
  • Producer Configuration Settings
  • Configuring Compression

Writing to Kafka

Course: 34 Minutes

  • Producer API
  • Sync Producers
  • Async Producers
  • Message Acknowledgement
  • Batching Messages
  • Keyed and Non-Keyed Messages
  • Broker Discovery

Testing and Serialization

Course: 14 Minutes

  • Kafka Test Suites
  • Serialization
  • Building a Custom Serializer

Practice: Using Kafka

Course: 5 Minutes

  • Exercise: Creating a Producer and Consumer

Kafka Integration with Spark

Course: 1 Hour, 7 Minutes

  • Course Introduction
  • Configuring Spark and Kafka
  • Reading Data from Kafka
  • Reading Data from Kafka in Parallel
  • Writing Data to Kafka
  • Writing Data to Kafka in Parallel
  • Creating a Direct Stream
  • Planning for Location and Consumer Strategies
  • Using an RDD
  • Managing Offsets
  • Creating a Kafka-Spark Word-splitting Application

Storm Integration

Course: 46 Minutes

  • Course Introduction
  • Configuring Storm and Kafka
  • Describing the Storm-Kafka Pipeline
  • Configuring and Using the KafkaSpout API
  • Reading from Kafka Using the Storm Connector
  • Writing to Kafka
  • Creating a Kafka-Storm Word Counting Application
  • Managing Offsets in Storm

Practice: Spark and Storm with Kafka

Course: 4 Minutes

  • Exercise: Using Storm with Kafka

Clusters

Course: 30 Minutes

  • Course Introduction
  • Identifying the Benefits of Kafka Clustering
  • Working with a Multi-broker Cluster
  • Configuring Replication
  • Working with Log Compaction
  • Configuring the Log Cleaner

Advanced Clusters

Course: 30 Minutes

  • Increasing the Replication Factor
  • Expanding a Cluster
  • Mirroring between Clusters
  • Working with Rack Awareness for Replication
  • Balancing Leadership and Unclean Leader Election

Real-time Kafka Applications

Course: 57 Minutes

  • Course Introduction
  • The Real-time Capabilities of Kafka
  • Installing the Twitter Streaming API
  • Creating a Producer Using the Twitter API
  • Creating a Consumer to Transfer to Spark
  • Using Spark to Process Tweets
  • Creating a Consumer to Transfer to Storm
  • Using Storm to Process Tweets
  • Using Kafka, Spark, and Storm Together

Practice: Real-time Apps for Kafka

Course: 6 Minutes

  • Exercise: Create Real-time Kafka Applications
Language English
Qualifications of the Instructor Certified
Course Format and Length Teaching videos with subtitles, interactive elements and assignments and tests
Lesson duration 7:39 Hours
Progress monitoring Yes
Access to Material 365 days
Technical Requirements Computer or mobile device, Stable internet connections Web browsersuch as Chrome, Firefox, Safari or Edge.
Support or Assistance Helpdesk and online knowledge base 24/7
Certification Certificate of participation in PDF format
Price and costs Course price at no extra cost
Cancellation policy and money-back guarantee We assess this on a case-by-case basis
Award Winning E-learning Yes
Tip! Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform.

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