Lokale, geïnstrueerde live Apache Kafka-trainingen demonstreren door middel van interactieve discussie en handson-oefening hoe een Kafka-berichtenmakelaar moet worden opgezet en geëxploiteerd Kafka-training is beschikbaar als 'live training op locatie' of 'live training op afstand' Onsite live training kan lokaal worden uitgevoerd op het terrein van de klant in Nederland of in NobleProg bedrijfsopleidingscentra in Nederland Live-training op afstand wordt uitgevoerd via een interactieve, externe desktop Kafka-trainingen omvatten de integratie van Kafka met andere Big Data-systemen en het opzetten van realtime datapijplijnen voor streaming-applicaties NobleProg Uw lokale trainingsaanbieder.
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Getuigenissen
De instructeur geeft zijn tijd in het uitleggen van de onderwerpen en we zien veel in detail in kwestie van de installatie van de benodigde software om kafka corriendp te hebben
Juan Manuel Del Alto - Hewlett Packard Centro de Servicios Globales S de RL
Cursus: Distributed Messaging with Apache Kafka
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Informatief en had een correct detailniveau geloof ik.
Asif Akhtar
Cursus: Distributed Messaging with Apache Kafka
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Ik had echt baat bij het gemakkelijk te volgen.
Zach Henke
Cursus: Distributed Messaging with Apache Kafka
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De oefeningen, en vooral als ze niet werkten (uiteraard is mijn schuld, maar het vinden van fouten, onderdeel van het werk).
Peter Hendriks
Cursus: Distributed Messaging with Apache Kafka
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Ik vond vooral de kennis van de trainer leuk.
Christian Langer
Cursus: Distributed Messaging with Apache Kafka
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Ik hield echt van de gedetailleerde uitleg, goed voorbereid document.
Allen Jeong
Cursus: Distributed Messaging with Apache Kafka
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Ik had baat bij het praktische advies (voor configuratie en beheer van Kafka).
OLAmobile
Cursus: Distributed Messaging with Apache Kafka
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Ik had baat bij de praktische voorbeelden, leer nieuwe waar hij het over heeft.
Rumos
Cursus: Distributed Messaging with Apache Kafka
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De trainer kent Kafka heel goed, en heeft veel productie-ervaring in de materie.
Matej Puntra
Cursus: Distributed Messaging with Apache Kafka
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De training werd gestuurd in de richting van wat het team wilde. De trainer is te goed met uitgebreide ervaring in het omgaan met concepten zoals schaalbaarheid, prestaties, ontwikkeling en implementatienormen en zeer snel in de training in het behandelen van vragen van verschillende niveaus, zoals met betrekking tot code, ontwerp, architectuur en best practices etc.
Sarita Velagapudi - Welcome Real-time (ASPAC) Pte Ltd
Cursus: Distributed Messaging with Apache Kafka
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Concepten, de manier waarop het werd gepresenteerd, zeer communicatieve, zeer nuttige, brede kennis.
Sreenivasulu Narasingu - Welcome Real-time (ASPAC) Pte Ltd
Cursus: Distributed Messaging with Apache Kafka
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Ik heb vooral genoten van het aantal behandelde onderwerpen.
Ipreo
Cursus: Distributed Messaging with Apache Kafka
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In staat zijn om gemakkelijk met de trainer te praten.
VSC Technologies
Cursus: Distributed Messaging with Apache Kafka
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De aanpak van de coach, de manier om kennis over te dragen.
Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Cursus: Distributed Messaging with Apache Kafka
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manier van uitvoeren, praktische oefeningen
darek lesiak - Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Cursus: Distributed Messaging with Apache Kafka
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topics
Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Cursus: Distributed Messaging with Apache Kafka
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interactiviteit, contact met de trainer en zijn objectiviteit
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Cursus: Distributed Messaging with Apache Kafka
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Goed contact met luisteraars, veel kennis van de trainer.
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Cursus: Distributed Messaging with Apache Kafka
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Interessante voorbeelden van oefeningen
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Cursus: Distributed Messaging with Apache Kafka
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Interessante oefeningen, waarin de architectuur en werking van Apache Kafka op diagrammen worden gepresenteerd.
Damian Niesteruk - Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Cursus: Distributed Messaging with Apache Kafka
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Kennis is een onbetwist voordeel van de docent.
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Cursus: Distributed Messaging with Apache Kafka
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Het herinneren van/het herzien van de punten van de besproken onderwerpen.
Paolo Angelo Gaton - SMS Global Technologies Inc.
Cursus: Building Stream Processing Applications with Kafka Streams
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Roxane Santiago - SMS Global Technologies Inc.
Cursus: Building Stream Processing Applications with Kafka Streams
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De labo-oefeningen. Toepassing van de theorie vanaf de eerste dag in de daaropvolgende dagen.
Dell
Cursus: A Practical Introduction to Stream Processing
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Dat elk onderwerp een verlenging was van het vorige. De trainer was erg aardig en behulpzaam.
Pavel Ignatov - Пейсейф България ЕООД
Cursus: Microservices with Spring Cloud and Kafka
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De trainer had zoveel kennis en ervaring dat hij elke vraag op het gebied van training kon beantwoorden. Het enige wat u moest doen was het hen vragen.
Powszechny Zakład Ubezpieczeń Spółka Akcyjna
Cursus: Kafka for Administrators
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goede theorie tot oefenverhouding, goed vermogen om luisteraars te interesseren tijdens de theorie
Powszechny Zakład Ubezpieczeń Spółka Akcyjna
Cursus: Kafka for Administrators
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Alle.
Jean-Michel Bidon
Cursus: Kafka for Administrators
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Apache Kafka Cursusoverzicht
Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
Overview
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
Overview
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
Overview
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
Overview
In this instructor-led, live training in Nederland (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
Overview
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
Overview
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
Overview
This instructor-led, live training in Nederland (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
Overview
This instructor-led, live training in Nederland (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
Overview
This instructor-led, live training in Nederland (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
Overview
This instructor-led, live training in Nederland (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
Overview
This instructor-led, live training in Nederland (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
Overview
This instructor-led, live training in Nederland (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
Overview
This instructor-led, live training in Nederland (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.
7 hours
Overview
This instructor-led, live training in Nederland (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.
Aankomende Kafka cursussen
16-08-2021 09:30
Amsterdam
7 hours
06-09-2021 09:30
Amsterdam
14 hours
14-09-2021 09:30
Amsterdam
7 hours
20-09-2021 09:30
Amsterdam
7 hours
04-10-2021 09:30
Amsterdam
21 hours
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