Formation Apache Kafka - système de messagerie à haut débit
Nos Clients témoignent
tout.
Jean-Michel Bidon
Formation: Kafka for Administrators
le overall de la plateform est bien! pour un devops/dev
Formation: Kafka for Administrators
Être capable de parler facilement avec l'entraîneur.
VSC Technologies
Formation: Distributed Messaging with Apache Kafka
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L'instructeur donne son temps en expliquant les sujets et nous voyons beaucoup en détail en question de l'installation du logiciel nécessaire pour avoir kafka corriendp
Juan Manuel Del Alto - Hewlett Packard Centro de Servicios Globales S de RL
Formation: Distributed Messaging with Apache Kafka
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Informative et le niveau de détail correct je crois.
Asif Akhtar
Formation: Distributed Messaging with Apache Kafka
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J'ai vraiment bénéficié de la facilité à suivre.
Zach Henke
Formation: Distributed Messaging with Apache Kafka
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Les exercices, et surtout quand ils ne fonctionnaient pas (évidemment ma faute mais la recherche de la faute fait partie du travail).
Peter Hendriks
Formation: Distributed Messaging with Apache Kafka
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J'ai surtout aimé la connaissance du formateur.
Christian Langer
Formation: Distributed Messaging with Apache Kafka
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J'ai vraiment aimé les explications détaillées, le document bien préparé.
Allen Jeong
Formation: Distributed Messaging with Apache Kafka
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J'ai bénéficié des conseils pratiques (pour la configuration et la gestion de Kafka).
OLAmobile
Formation: Distributed Messaging with Apache Kafka
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J'ai profité des exemples pratiques, du nouveau formateur dont il parle.
Rumos
Formation: Distributed Messaging with Apache Kafka
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Le formateur connaît très bien Kafka et possède une grande expérience de la production.
Matej Puntra
Formation: Distributed Messaging with Apache Kafka
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La formation était orientée dans la direction souhaitée par l'équipe. Le formateur est trop bon et possède une vaste expérience dans la gestion de concepts tels que l'évolutivité, les performances, les normes de développement et de déploiement et une formation très rapide dans le traitement des requêtes à différents niveaux, notamment en matière de code, de conception, d'architecture et de meilleures pratiques, etc.
Sarita Velagapudi - Welcome Real-time (ASPAC) Pte Ltd
Formation: Distributed Messaging with Apache Kafka
Machine Translated
Concepts, la façon dont il a présenté, très communicatif, très utile, large connaissance.
Sreenivasulu Narasingu - Welcome Real-time (ASPAC) Pte Ltd
Formation: Distributed Messaging with Apache Kafka
Machine Translated
J'ai surtout apprécié la quantité de sujets abordés.
Ipreo
Formation: Distributed Messaging with Apache Kafka
Machine Translated
L'approche du coach, la manière de transférer des connaissances.
Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Formation: Distributed Messaging with Apache Kafka
Machine Translated
mode de conduite, exercices pratiques
darek lesiak - Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Formation: Distributed Messaging with Apache Kafka
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sujets
Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Formation: Distributed Messaging with Apache Kafka
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l'interactivité, le contact avec le formateur et son objectivité
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Formation: Distributed Messaging with Apache Kafka
Machine Translated
Bon contact avec les auditeurs, connaissance considérable du formateur.
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Formation: Distributed Messaging with Apache Kafka
Machine Translated
Exemples intéressants d'exercices
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Formation: Distributed Messaging with Apache Kafka
Machine Translated
Exercices intéressants, présentant l'architecture et le fonctionnement d'Apache Kafka sur des diagrammes.
Damian Niesteruk - Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Formation: Distributed Messaging with Apache Kafka
Machine Translated
La connaissance est un avantage incontestable du conférencier.
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Formation: Distributed Messaging with Apache Kafka
Machine Translated
Rappelant/examinant les points clés des sujets abordés.
Paolo Angelo Gaton - SMS Global Technologies Inc.
Formation: Building Stream Processing Applications with Kafka Streams
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Roxane Santiago - SMS Global Technologies Inc.
Formation: Building Stream Processing Applications with Kafka Streams
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Les exercices de laboratoire. Appliquer la théorie à partir du premier jour des jours suivants.
Dell
Formation: A Practical Introduction to Stream Processing
Machine Translated
Que chaque sujet était une extension du précédent. Le formateur était très gentil et serviable.
Pavel Ignatov - Пейсейф България ЕООД
Formation: Microservices with Spring Cloud and Kafka
Machine Translated
Le formateur avait une connaissance et une expérience si étendues qu'il a pu répondre à toutes les questions posées dans le domaine de la formation. Tout ce que vous aviez à faire était de leur demander.
Powszechny Zakład Ubezpieczeń Spółka Akcyjna
Formation: Kafka for Administrators
Machine Translated
bon ratio théorie / exercice, bonne capacité à intéresser les auditeurs pendant la théorie
Powszechny Zakład Ubezpieczeń Spółka Akcyjna
Formation: Kafka for Administrators
Machine Translated
le overall de la plateform est bien! pour un devops/dev
Formation: Kafka for Administrators
Plans de cours Apache Kafka
Nom du Cours
Durée
Aperçu
Nom du Cours
Durée
Aperçu
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.
14 hours
Apache 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
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
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
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
21 hours
In this instructor-led, live training in France (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.
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.
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.
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.
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.
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.
21 hours
This instructor-led, live training in France (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.
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.
7 hours
This instructor-led, live training in France (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.
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.
7 hours
This instructor-led, live training in France (online or onsite) is aimed at developers who wish to implement Apache Kafka stream processing without writing code.
By the end of this training, participants will be able to:
- Install and configure Confluent KSQL.
- Set up a stream processing pipeline using only SQL commands (no Java or Python coding).
- Carry out data filtering, transformations, aggregations, joins, windowing, and sessionization entirely in SQL.
- Design and deploy interactive, continuous queries for streaming ETL and real-time analytics.
By the end of this training, participants will be able to:
- Install and configure Confluent KSQL.
- Set up a stream processing pipeline using only SQL commands (no Java or Python coding).
- Carry out data filtering, transformations, aggregations, joins, windowing, and sessionization entirely in SQL.
- Design and deploy interactive, continuous queries for streaming ETL and real-time analytics.
21 hours
This instructor-led, live training in France (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.
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.
7 hours
This instructor-led, live training in France (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.
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.
14 hours
This instructor-led, live training in France (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.
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.
7 hours
This instructor-led, live training in France (online or onsite) is aimed at data engineers, data scientists, and programmers who wish to use Spark Streaming features in processing and analyzing real-time data.
By the end of this training, participants will be able to use Spark Streaming to process live data streams for use in databases, filesystems, and live dashboards.
By the end of this training, participants will be able to use Spark Streaming to process live data streams for use in databases, filesystems, and live dashboards.
7 hours
This instructor-led, live training in France (online or onsite) is aimed at data engineers, data scientists, and programmers who wish to use Apache Kafka features in data streaming with Python.
By the end of this training, participants will be able to use Apache Kafka to monitor and manage conditions in continuous data streams using Python programming.
By the end of this training, participants will be able to use Apache Kafka to monitor and manage conditions in continuous data streams using Python programming.
Last Updated:
Prochains cours Kafka
Microservices with Spring Cloud and Kafka
16-02-2022 09:30
21 heures
Apache Kafka Connect
23-02-2022 09:30
7 heures
Building Kafka Solutions with Confluent
08-03-2022 09:30
14 heures
Building Data Pipelines with Apache Kafka
09-03-2022 09:30
7 heures
Confluent KSQL
18-03-2022 09:30
7 heures
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