Apache Kafka培训
Apache Kafka培训
客户评论
你最喜欢什么训练？： 实际例子。 Jorge Creixell Fyber GmbH 。
课程名称: Distributed Messaging with Apache Kafka
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你最喜欢什么训练？： 互动。 Alan Daud Fyber GmbH 。
课程名称: Distributed Messaging with Apache Kafka
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一个非常专业的好风格，在所有参与者中创造了一个开放和积极的氛围。 。
Heiko Michel - Lufthansa Systems GmbH & Co KG
课程名称: Distributed Messaging with Apache Kafka
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教练给他的时间来解释这些话题，并且我们在安装必要的软件的过程中看到了很多细节，让kafka corriendp Juan Manuel Del Alto - Hewlett Packard Centro de Servicios Globales S de RL
Juan Manuel Del Alto
课程名称: Distributed Messaging with Apache Kafka
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信息丰富，我相信具有正确的细节水平
Asif Akhtar
课程名称: Distributed Messaging with Apache Kafka
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易于遵循。 。
Zach Henke
课程名称: Distributed Messaging with Apache Kafka
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这些练习，特别是当他们不工作时（显然我的错，但是找错是工作的一部分）。 。
Peter Hendriks
课程名称: Distributed Messaging with Apache Kafka
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>我发现编程示例很有趣。
Rostislaw Krassow
课程名称: Distributed Messaging with Apache Kafka
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培训师的知识。
Christian Langer
课程名称: Distributed Messaging with Apache Kafka
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详细解释，准备充分的文件
Allen Jeong
课程名称: Distributed Messaging with Apache Kafka
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实用建议（用于卡夫卡配置和管理）。
OLAmobile
课程名称: Distributed Messaging with Apache Kafka
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实际的例子，教练新的他在谈论什么。
Rumos
课程名称: Distributed Messaging with Apache Kafka
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培训师非常了解卡夫卡，并且在这方面拥有丰富的生产经验。 。
Matej Puntra
课程名称: Distributed Messaging with Apache Kafka
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训练按照球队想要的方向进行。培训师在处理可伸缩性，性能，开发和部署标准等概念方面拥有丰富的经验，并且在处理来自不同级别的查询的培训方面非常迅速，例如代码，设计，体系结构和最佳实践等。
Sarita Velagapudi - Welcome Real-time (ASPAC) Pte Ltd
课程名称: Distributed Messaging with Apache Kafka
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概念，它呈现的方式，非常的交流，非常有帮助，广泛的知识。 。
Sreenivasulu Narasingu - Welcome Real-time (ASPAC) Pte Ltd
课程名称: Distributed Messaging with Apache Kafka
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课程简介
| 代码 | 名字 | 时长 | 概览 |
|---|---|---|---|
| kafka1 | Distributed Messaging with Apache Kafka | 14小时 | This course is for enterprise architects, developers, system administrators and anyone who wants to understand and use a high-throughput distributed messaging system. If you have more specific requirements (e.g. only system administration side), this course can be tailored to better suit your needs. |
| kafkastreams | Building Stream Processing Applications with Kafka Streams | 7小时 | Kafka 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. |
| introtostreamprocessing | A Practical Introduction to Stream Processing | 21小时 | Stream 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 setup 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. |
Upcoming Courses
| 课程 | 日期 | 价格【远程 / 传统课堂】 |
|---|---|---|
| Distributed Messaging with Apache Kafka - 上海 - 六八八广场 | 星期三, 2018-07-04 09:30 | ￥18410 / ￥19610 |
| Distributed Messaging with Apache Kafka - 深圳 - 新世界中心 | 星期一, 2018-07-09 09:30 | ￥18410 / ￥22790 |