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Kafka Fundamentals for Java Developers

 14 Hours
Pelatihan langsung yang dipandu instruktur dalam Indonesia (online atau di tempat) ini ditujukan untuk pengembang tingkat menengah Java yang ingin mengintegrasikan Apache Kafka ke dalam aplikasi mereka untuk pengiriman pesan yang andal, terukur, dan berthroughput tinggi. Pada akhir pelatihan ini, peserta akan dapat:
  • Memahami arsitektur dan komponen inti Kafka.
  • Siapkan dan konfigurasikan kluster Kafka.
  • Memproduksi dan mengonsumsi pesan menggunakan Java.
  • Terapkan Kafka Streams untuk pemrosesan data waktu nyata.
  • Pastikan toleransi kesalahan dan skalabilitas dalam aplikasi Kafka.
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Administration of Kafka Message Queue

 14 Hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at intermediate-level system administrators who wish to harness Kafka's message queuing features effectively. By the end of this training, participants will be able to:
  • Understand Kafka's message queuing capabilities and architecture.
  • Configure Kafka topics for message queuing scenarios.
  • Produce and consume messages using Kafka.
  • Monitor and manage Kafka as a message queue.
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Administration of Kafka Topic

14 Hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at beginner-level to intermediate-level system administrators who wish to learn how to effectively manage Kafka topics for efficient data streaming and processing. By the end of this training, participants will be able to:
  • Understand Kafka topic fundamentals and architecture.
  • Create, configure, and manage Kafka topics.
  • Monitor Kafka topics for health, performance, and availability.
  • Implement security measures for Kafka topics.
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Apache Kafka and Spring Boot

 7 Hours
Pelatihan langsung yang dipimpin instruktur di Indonesia (online atau di tempat) ini ditujukan untuk pengembang tingkat menengah yang ingin mempelajari dasar-dasar Kafka dan mengintegrasikannya dengan Spring Boot. Pada akhir pelatihan ini, peserta akan dapat:
  • Pahami Kafka dan arsitekturnya.
  • Pelajari cara memasang, mengonfigurasi, dan menyiapkan lingkungan Kafka dasar.
  • Integrasikan Kafka dengan Spring Boot.
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Apache Kafka for Developers

 21 Hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at intermediate-level developers who wish to develop big data applications with Apache Kafka. By the end of this training, participants will be able to:
  • Develop Kafka producers and consumers to send and read data from Kafka.
  • Integrate Kafka with external systems using Kafka Connect.
  • Write streaming applications with Kafka Streams & ksqlDB.
  • Integrate a Kafka client application with Confluent Cloud for cloud-based Kafka deployments.
  • Gain practical experience through hands-on exercises and real-world use cases.
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Apache Kafka Connect

 7 Hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at developers who wish to integrate Apache Kafka with existing databases and applications for processing, analysis, etc. By the end of this training, participants will be able to:
  • Use Kafka Connect to ingest large amounts of data from a database into Kafka topics.
  • Ingest log data generated by an application servers into Kafka topics.
  • Make any collected data available for stream processing.
  • Export data from Kafka topics into secondary systems for storage and analysis.
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Building Kafka Solutions with Confluent

 14 Hours
This instructor-led, live training (online or onsite) is aimed at engineers who wish to use Confluent (a distribution of Kafka) to build and manage a real-time data processing platform for their applications. By the end of this training, participants will be able to:
  • Install and configure Confluent Platform.
  • Use Confluent's management tools and services to run Kafka more easily.
  • Store and process incoming stream data.
  • Optimize and manage Kafka clusters.
  • Secure data streams.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • This course is based on the open source version of Confluent: Confluent Open Source.
  • To request a customized training for this course, please contact us to arrange.
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Building Data Pipelines with Apache Kafka

 7 Hours
Apache Kafka is a distributed streaming platform. It is de facto a standard for building data pipelines and it solves a lot of different use-cases around data processing: it can be used as a message queue, distributed log, stream processor, etc. We'll start with some theory behind data pipelines in general, then continue with fundamental concepts behind Kafka. We'll also discover important components like Kafka Streams and Kafka Connect.
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A Practical Introduction to Stream Processing

 21 Hours
In this instructor-led, live training in Indonesia (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.
  • Integrate the most appropriate stream processing library with enterprise applications and microservices.
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Distributed Messaging with Apache Kafka

 14 Hours
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.
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Kafka for Administrators

 21 Hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at sysadmins who wish to set up, deploy, manage and optimize an enterprise-grade Kafka cluster. By the end of this training, participants will be able to:
  • Set up and administer a Kafka Cluster.
  • Evaluate the benefits and disadvantages of deploying Kafka on-premise vs in the cloud.
  • Deploy and monitor Kafka in using various on-premise and cloud environment tools.
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Apache Kafka for Python Programmers

 7 Hours
Pelatihan langsung yang dipimpin instruktur di Indonesia (online atau di lokasi) ditujukan untuk teknisi data, ilmuwan data, dan pemrogram yang ingin menggunakan fitur Apache Kafka dalam streaming data dengan Python. Di akhir pelatihan ini, peserta akan dapat menggunakan Apache Kafka untuk memantau dan mengelola kondisi aliran data berkelanjutan menggunakan pemrograman Python.
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Security for Apache Kafka

 7 Hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at software testers who wish to implement network security measures into an Apache Kafka application. By the end of this training, participants will be able to:
  • Deploy Apache Kafka onto a cloud based server.
  • Implement SSL encryption to prevent attacks.
  • Add ACL authentication to track and control user access.
  • Ensure credible clients have access to Kafka clusters with SSL and SASL authentication.
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Stream Processing with Kafka Streams

 7 Hours
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
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Confluent KSQL

 7 Hours
Pelatihan langsung yang dipimpin instruktur di Indonesia (online atau di tempat) ini ditujukan untuk pengembang yang ingin menerapkan pemrosesan aliran Apache Kafka tanpa menulis kode. Pada akhir pelatihan ini, peserta akan dapat:
  • Instal dan konfigurasikan Confluent KSQL.
  • Siapkan alur pemrosesan aliran hanya menggunakan perintah SQL (tanpa pengkodean Java atau Python).
  • Melakukan penyaringan data, transformasi, agregasi, gabungan, windowing, dan sesiisasi sepenuhnya di SQL.
  • Rancang dan terapkan kueri interaktif dan berkelanjutan untuk streaming ETL dan analisis waktu nyata.
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SMACK Stack for Data Science

 14 Hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at data scientists who wish to use the SMACK stack to build data processing platforms for big data solutions. By the end of this training, participants will be able to:
  • Implement a data pipeline architecture for processing big data.
  • Develop a cluster infrastructure with Apache Mesos and Docker.
  • Analyze data with Spark and Scala.
  • Manage unstructured data with Apache Cassandra.
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Spark Streaming with Python and Kafka

 7 Hours
Pelatihan langsung yang dipimpin instruktur di Indonesia (online atau di lokasi) ditujukan untuk teknisi data, ilmuwan data, dan pemrogram yang ingin menggunakan fitur Spark Streaming dalam memproses dan menganalisis data waktu nyata. Di akhir pelatihan ini, peserta akan dapat menggunakan Spark Streaming untuk memproses aliran data langsung untuk digunakan dalam database, sistem file, dan dasbor langsung.
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Microservices with Spring Cloud and Kafka

 21 Hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at developers who wish to transform traditional architecture into a highly concurrent microservices-based architecture using Spring Cloud, Kafka, Docker, Kubernetes and Redis. By the end of this training, participants will be able to:
  • Set up the necessary development environment for building microservices.
  • Design and implement a highly concurrent microservices ecosystem using Spring Cloud, Kafka, Redis, Docker and Kubernetes.
  • Transform monolithic and SOA services to microservice based architecture.
  • Adopt a DevOps approach to developing, testing and releasing software.
  • Ensure high concurrency among microservices in production.
  • Monitor microservices and implement recovery strategies.
  • Carry out performance tuning.
  • Learn about future trends in microservices architecture.
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Testimonials (9)

Keterlibatan dengan Pelatih Sejumlah Latihan dan Ujian Praktik Lab yang relevan

Salim - SICPA SA

Course - Administration of Kafka Message Queue

Machine Translated

pendekatan interaktif guru, bukan cerita langsung tetapi bertindak berdasarkan pertanyaan dari penonton.

Rens - Canon Medical Informatics Europe B.V.

Course - Administration of Kafka Topic

Machine Translated

Laboratorium dan slidenya berpadu sempurna dengan pengetahuan dan kecintaan Jorge terhadap Kafka.

Willem - BMW SA

Course - Apache Kafka for Developers

Machine Translated

very interactive...

Richard Langford

Course - SMACK Stack for Data Science

Sufficient hands on, trainer is knowledgable

Chris Tan

Course - A Practical Introduction to Stream Processing

Keterampilan parut, contoh, latihan yang sangat bagus

Marek Konieczny - G2A.COM Limited

Course - Kafka for Administrators

Machine Translated

The course was excellent. Our trainer Andreas was very prepared and answered all the questions that we asked. Also he helped us when we have troubles and explained in details when needed. The best course that i have ever been part of.

Bozhidar Marinov - Pejsejf B"lgaria EOOD

Course - Microservices with Spring Cloud and Kafka

Recalling/reviewing keypoints of the topics discussed.

Paolo Angelo Gaton - SMS Global Technologies Inc.

Course - Building Stream Processing Applications with Kafka Streams

Informative and had correct level of detail I believe.

Asif Akhtar

Course - Distributed Messaging with Apache Kafka

Upcoming Courses (Minimal 5 peserta)

Building Kafka Solutions with Confluent

2025-05-06 09:30
14 hours
Online
40300000 IDR (Online)

Building Kafka Solutions with Confluent

2025-05-20 09:30
14 hours
Online
40300000 IDR (Online)

Spark Streaming with Python and Kafka

2025-06-03 09:30
7 hours
Online
20150000 IDR (Online)

Distributed Messaging with Apache Kafka

2025-06-17 09:30
14 hours
Online
40300000 IDR (Online)

Security for Apache Kafka

2025-07-01 09:30
7 hours
Online
20150000 IDR (Online)

Building Data Pipelines with Apache Kafka

2025-07-15 09:30
7 hours
Online
20150000 IDR (Online)

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