I corsi di formazione Apache Kafka in diretta locale e istruiti dimostrano attraverso discussioni interattive e esercitazioni pratiche su come impostare e gestire un broker di messaggi Kafka La formazione Kafka è disponibile come "allenamento dal vivo in loco" o "allenamento dal vivo a distanza" La formazione on-site in loco può essere svolta localmente presso la sede del cliente in Italia o nei centri di formazione aziendale NobleProg in Italia La formazione in remoto dal vivo viene effettuata tramite un desktop remoto interattivo I corsi di formazione di Kafka coprono l'integrazione di Kafka con altri sistemi Big Data e anche come impostare le pipeline di dati in tempo reale per le applicazioni di streaming NobleProg Il tuo fornitore di formazione locale.
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Recensioni
L'istruttore dà il suo tempo per spiegare gli argomenti e vediamo molto in dettaglio in merito all'installazione del software necessario per avere kafka corriendp
Juan Manuel Del Alto - Hewlett Packard Centro de Servicios Globales S de RL
Corso: Distributed Messaging with Apache Kafka
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Informativo e ho avuto il giusto livello di dettaglio, credo.
Asif Akhtar
Corso: Distributed Messaging with Apache Kafka
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Ho davvero tratto beneficio dal facile da seguire.
Zach Henke
Corso: Distributed Messaging with Apache Kafka
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Gli esercizi, e soprattutto quando non hanno funzionato (ovviamente è colpa mia ma la ricerca di guasti fa parte del lavoro).
Peter Hendriks
Corso: Distributed Messaging with Apache Kafka
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Mi è piaciuta soprattutto la conoscenza del Trainer.
Christian Langer
Corso: Distributed Messaging with Apache Kafka
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Mi è veramente piaciuta la spiegazione dei dettagli, documento ben preparato.
Allen Jeong
Corso: Distributed Messaging with Apache Kafka
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Ho tratto beneficio dal consiglio pratico (per la configurazione e la gestione di Kafka).
OLAmobile
Corso: Distributed Messaging with Apache Kafka
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Ho tratto beneficio dagli esempi pratici, allenatore nuovo di cosa sta parlando.
Rumos
Corso: Distributed Messaging with Apache Kafka
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Il formatore conosce molto bene Kafka e ha molta esperienza di produzione in materia.
Matej Puntra
Corso: Distributed Messaging with Apache Kafka
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L'allenamento è stato guidato nella direzione desiderata dalla squadra. Il trainer è troppo bravo con una vasta esperienza nella gestione di concetti come scalabilità, prestazioni, standard di sviluppo e implementazione e molto rapido nella formazione nell'affrontare domande da diversi livelli come riguardo a codice, design, architettura e buone pratiche ecc.
Sarita Velagapudi - Welcome Real-time (ASPAC) Pte Ltd
Corso: Distributed Messaging with Apache Kafka
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Concetti, il modo in cui è presentato, molto comunicativo, molto utile, ampia conoscenza.
Sreenivasulu Narasingu - Welcome Real-time (ASPAC) Pte Ltd
Corso: Distributed Messaging with Apache Kafka
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Mi è piaciuta soprattutto la quantità di argomenti trattati.
Ipreo
Corso: Distributed Messaging with Apache Kafka
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Essere in grado di parlare facilmente con l'allenatore.
VSC Technologies
Corso: Distributed Messaging with Apache Kafka
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L'approccio del coach, il modo di trasferire la conoscenza.
Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Corso: Distributed Messaging with Apache Kafka
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modo di condurre, esercizi pratici
darek lesiak - Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Corso: Distributed Messaging with Apache Kafka
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argomenti
Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Corso: Distributed Messaging with Apache Kafka
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interattività, contatto con l'allenatore e sua obiettività
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Corso: Distributed Messaging with Apache Kafka
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Buon contatto con gli ascoltatori, notevole conoscenza del trainer.
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Corso: Distributed Messaging with Apache Kafka
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Esempi interessanti di esercizi
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Corso: Distributed Messaging with Apache Kafka
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Esercizi interessanti, che presentano l'architettura e il funzionamento di Apache Kafka sui diagrammi.
Damian Niesteruk - Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Corso: Distributed Messaging with Apache Kafka
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La conoscenza è un indubbio vantaggio del docente.
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Corso: Distributed Messaging with Apache Kafka
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Richiamo/revisione dei punti chiave degli argomenti discussi.
Paolo Angelo Gaton - SMS Global Technologies Inc.
Corso: Building Stream Processing Applications with Kafka Streams
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Roxane Santiago - SMS Global Technologies Inc.
Corso: Building Stream Processing Applications with Kafka Streams
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Gli esercizi di laboratorio. Applicando la teoria dal primo giorno nei giorni successivi.
Dell
Corso: A Practical Introduction to Stream Processing
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Che ogni argomento era un'estensione del precedente. L'allenatore è stato molto gentile e disponibile.
Pavel Ignatov - Пейсейф България ЕООД
Corso: Microservices with Spring Cloud and Kafka
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Il trainer aveva una conoscenza e un'esperienza così vaste da poter rispondere a tutte le domande poste nel campo della formazione. Tutto quello che dovevi fare era chiedere loro.
Powszechny Zakład Ubezpieczeń Spółka Akcyjna
Corso: Kafka for Administrators
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buona teoria per esercitare il rapporto, buona capacità di interessare gli ascoltatori durante la teoria
Powszechny Zakład Ubezpieczeń Spółka Akcyjna
Corso: Kafka for Administrators
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Tutti.
Jean-Michel Bidon
Corso: Kafka for Administrators
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Schema generale del corso Apache Kafka
Nome del corso
Durata
Overview
Nome del corso
Durata
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 Italia (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 Italia (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 Italia (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 Italia (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 Italia (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 Italia (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 Italia (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 Italia (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 Italia (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.
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