Apache Kafkaのトレーニングコース

Apache Kafkaのトレーニングコース

地元のインストラクターによるライブのApache Kafkaトレーニングコースでは、インタラクティブなディスカッションや実践的な練習を通して、カフカメッセージブローカーのセットアップと運用方法を実演しています。カフカのトレーニングは、「オンサイトライブトレーニング」または「リモートライブトレーニング」として利用できます。現場での現場でのトレーニングは、 日本 NobleProgの企業研修センターで日本 。リモートライブトレーニングは、インタラクティブなリモートデスクトップを介して実行されます。 Kafkaのトレーニングコースでは、Kafkaと他のBig Dataシステムとの統合、ストリーミングアプリケーション用のリアルタイムデータパイプラインの設定方法について説明します。 NobleProg - あなたの地域のトレーニングプロバイダー

お客様の声

★★★★★
★★★★★

Apache Kafkaコース概要

CodeNameDurationOverview
kafka1Distributed Messaging with Apache Kafka14 hoursこのコースは、エンタープライズアーキテクト、開発者、システム管理者、およびハイスループットの分散型メッセージングシステムを理解して使用するユーザーを対象としています。より具体的な要件(例えば、システム管理面のみ)があれば、このコースはニーズに合わせて調整することができます。
samzaSamza for Stream Processing14 hoursApache Samza is an open-source near-realtime, asynchronous computational framework for stream processing. It uses Apache Kafka for messaging, and Apache Hadoop YARN for fault tolerance, processor isolation, security, and resource management.

This instructor-led, live training introduces the principles behind messaging systems and distributed stream processing, while walking participants through the creation of a sample Samza-based project and job execution.

By the end of this training, participants will be able to:

- Use Samza to simplify the code needed to produce and consume messages.
- Decouple the handling of messages from an application.
- Use Samza to implement near-realtime asynchronous computation.
- Use stream processing to provide a higher level of abstraction over messaging systems.

Audience

- Developers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
kafkastreamsBuilding Stream Processing Applications with Kafka Streams7 hoursKafka Streams is a client-side library for building applications and microservices whose data is passed to and from a Kafka messaging system. Traditionally, Apache Kafka has relied on Apache Spark or Apache Storm to process data between message producers and consumers. By calling the Kafka Streams API from within an application, data can be processed directly within Kafka, bypassing the need for sending the data to a separate cluster for processing.

In this instructor-led, live training, participants will learn how to integrate Kafka Streams into a set of sample Java applications that pass data to and from Apache Kafka for stream processing.

By the end of this training, participants will be able to:

- Understand Kafka Streams features and advantages over other stream processing frameworks
- Process stream data directly within a Kafka cluster
- Write a Java or Scala application or microservice that integrates with Kafka and Kafka Streams
- Write concise code that transforms input Kafka topics into output Kafka topics
- Build, package and deploy the application

Audience

- Developers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Notes

- To request a customized training for this course, please contact us to arrange
introtostreamprocessingA Practical Introduction to Stream Processing21 hoursStream Processing refers to the real-time processing of "data in motion", that is, performing computations on data as it is being received. Such data is read as continuous streams from data sources such as sensor events, website user activity, financial trades, credit card swipes, click streams, etc. Stream Processing frameworks are able to read large volumes of incoming data and provide valuable insights almost instantaneously.

In this instructor-led, live training (onsite or remote), participants will learn how to set up and integrate different Stream Processing frameworks with existing big data storage systems and related software applications and microservices.

By the end of this training, participants will be able to:

- Install and configure different Stream Processing frameworks, such as Spark Streaming and Kafka Streaming
- Understand and select the most appropriate framework for the job
- Process of data continuously, concurrently, and in a record-by-record fashion
- Integrate Stream Processing solutions with existing databases, data warehouses, data lakes, etc.
- Integrating the most appropriate stream processing library with enterprise applications and microservices

Audience

- Developers
- Software architects

Format of the Course

- Part lecture, part discussion, exercises and heavy hands-on practice

Notes

- To request a customized training for this course, please contact us to arrange.
週末Apache Kafkaコース, 夜のApache Kafkaトレーニング, Apache Kafkaブートキャンプ, Apache Kafka インストラクターよる, 週末Apache Kafkaトレーニング, 夜のApache Kafkaコース, Apache Kafka指導, Apache Kafkaインストラクター, Apache Kafkaレーナー, Apache Kafkaレーナーコース, Apache Kafkaクラス, Apache Kafkaオンサイト, Apache Kafkaプライベートコース, Apache Kafka1対1のトレーニング

コース割引のニュースレター

We respect the privacy of your email address. We will not pass on or sell your address to others.
You can always change your preferences or unsubscribe completely.

一部のお客様

is growing fast!

We are looking to expand our presence in Japan!

As a Business Development Manager you will:

  • expand business in Japan
  • recruit local talent (sales, agents, trainers, consultants)
  • recruit local trainers and consultants

We offer:

  • Artificial Intelligence and Big Data systems to support your local operation
  • high-tech automation
  • continuously upgraded course catalogue and content
  • good fun in international team

If you are interested in running a high-tech, high-quality training and consulting business.

contact us right away!