Kafka to rozproszona platforma przesyłania strumieniowego typu open source, która umożliwia przechowywanie, odczytywanie i analizowanie danych. Lokalne, prowadzone przez instruktora kursy szkoleniowe na żywo Apache Kafka pokazują poprzez interaktywną dyskusję i praktyczne ćwiczenia, jak skonfigurować i obsługiwać brokera wiadomości Kafka.
Szkolenie z usługi Apache Kafka jest dostępne jako "szkolenie na miejscu" lub "szkolenie na żywo". Szkolenie na żywo w siedzibie klienta może odbywać się lokalnie w siedzibie klienta w Polsce lub w centrach szkoleniowych korporacji NobleProg w Polsce . Zdalne szkolenie na żywo odbywa się za pomocą interaktywnego, zdalnego pulpitu DaDesktop. NobleProg - Twój lokalny dostawca szkoleń.
Opinie uczestników
Podejście trenera, sposób przekazania wiedzy.
Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Szkolenie: Distributed Messaging with Apache Kafka
sposob prowadzenia, praktyczne cwiczenia
darek lesiak - Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Szkolenie: Distributed Messaging with Apache Kafka
tematyka
Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Szkolenie: Distributed Messaging with Apache Kafka
interaktywność, kontakt z trenerem i jego rzeczowość
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Szkolenie: Distributed Messaging with Apache Kafka
Dobry kontakt ze słuchaczami, spora wiedza trenera.
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Szkolenie: Distributed Messaging with Apache Kafka
Ciekawe przykłady ćwiczeń
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Szkolenie: Distributed Messaging with Apache Kafka
Ciekawe ćwiczenia, przedstawienie architektury i sposobu działania Apache Kafka na diagramach.
Damian Niesteruk - Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Szkolenie: Distributed Messaging with Apache Kafka
Niewątpliwym atutem prowadzącego jest niewątpliwie wiedza.
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Szkolenie: Distributed Messaging with Apache Kafka
Zakres szkolenia, swobodna atmosfera.
Bank Polska Kasa Opieki S.A.
Szkolenie: Distributed Messaging with Apache Kafka
Prowadzenie szkolenia w formie rozmowy, wykładu i pokazywania przykładów na żywo.
Bank Polska Kasa Opieki S.A.
Szkolenie: Distributed Messaging with Apache Kafka
Rodzące się dyskusje. Pytania zadawane przez prowadzącego celem sprawdzenia przyswojone przez uczestników wiedzy.
Powszechny Zakład Ubezpieczeń Spółka Akcyjna
Szkolenie: Kafka for Administrators
Trener posiadał na tyle rozległą wiedzę i doświadczenie, że był w stanie odpowiedzieć na każde zadane mu pytanie z dziedziny szkolenia. Trzeba było tylko umieć je zadać.
Powszechny Zakład Ubezpieczeń Spółka Akcyjna
Szkolenie: Kafka for Administrators
dobra proporcja teorii do ćwiczeń, fajna umiejętność zainteresowania słuchaczy podczas teorii
Powszechny Zakład Ubezpieczeń Spółka Akcyjna
Szkolenie: Kafka for Administrators
Instruktor poświęca swój czas na wyjaśnianie tematów i widzimy wiele szczegółów dotyczących instalacji niezbędnego oprogramowania, aby mieć kafka corriendp Juan Ma
Juan Manuel Del Alto - Hewlett Packard Centro de Servicios Globales S de RL
Szkolenie: Distributed Messaging with Apache Kafka
Machine Translated
Pouczające i miałem prawidłowy poziom szczegółowości, wierzę.
Asif Akhtar
Szkolenie: Distributed Messaging with Apache Kafka
Machine Translated
Naprawdę korzystałem z łatwych do naśladowania.
Zach Henke
Szkolenie: Distributed Messaging with Apache Kafka
Machine Translated
Ćwiczenia, a zwłaszcza kiedy nie działały (oczywiście moja wina, ale znalezienie błędu jest częścią pracy).
Peter Hendriks
Szkolenie: Distributed Messaging with Apache Kafka
Machine Translated
Najbardziej podobała mi się wiedza trenera.
Christian Langer
Szkolenie: Distributed Messaging with Apache Kafka
Machine Translated
Naprawdę podobały mi się szczegółowe wyjaśnienia, dobrze przygotowany dokument.
Allen Jeong
Szkolenie: Distributed Messaging with Apache Kafka
Machine Translated
Korzystałem z praktycznych porad (dotyczących konfiguracji i zarządzania Kafką).
OLAmobile
Szkolenie: Distributed Messaging with Apache Kafka
Machine Translated
Korzystałem z praktycznych przykładów, trener miał nowe pojęcie o tym, o czym mówi.
Rumos
Szkolenie: Distributed Messaging with Apache Kafka
Machine Translated
Trener bardzo dobrze zna Kafkę i ma duże doświadczenie w tej dziedzinie.
Matej Puntra
Szkolenie: Distributed Messaging with Apache Kafka
Machine Translated
Trening był ukierunkowany na to, czego chciał zespół. Trener jest zbyt dobry z dużym doświadczeniem w obsłudze takich pojęć, jak skalowalność, wydajność, standardy rozwoju i wdrażania oraz bardzo szybki w szkoleniu w zakresie rozwiązywania zapytań z różnych poziomów, takich jak kod, projekt, architektura i najlepsze praktyki itp.
Sarita Velagapudi - Welcome Real-time (ASPAC) Pte Ltd
Szkolenie: Distributed Messaging with Apache Kafka
Machine Translated
Koncepcje, sposób w jaki się prezentował, bardzo komunikatywny, bardzo pomocny, szeroka wiedza.
Sreenivasulu Narasingu - Welcome Real-time (ASPAC) Pte Ltd
Szkolenie: Distributed Messaging with Apache Kafka
Machine Translated
Najbardziej podobała mi się ilość omawianych tematów.
Ipreo
Szkolenie: Distributed Messaging with Apache Kafka
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Łatwo porozmawiaj z trenerem.
VSC Technologies
Szkolenie: Distributed Messaging with Apache Kafka
Machine Translated
Przywoływanie/recenzowanie punktów kluczowych omawianych tematów.
Paolo Angelo Gaton - SMS Global Technologies Inc.
Szkolenie: Building Stream Processing Applications with Kafka Streams
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Roxane Santiago - SMS Global Technologies Inc.
Szkolenie: Building Stream Processing Applications with Kafka Streams
Machine Translated
Ćwiczenia laboratoryjne. Zastosowanie teorii od pierwszego dnia w kolejnych dniach.
Dell
Szkolenie: A Practical Introduction to Stream Processing
Machine Translated
Że każdy temat był przedłużeniem poprzedniego. Trener był bardzo miły i pomocny.
Pavel Ignatov - Пейсейф България ЕООД
Szkolenie: Microservices with Spring Cloud and Kafka
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Wszystkie.
Jean-Michel Bidon
Szkolenie: Kafka for Administrators
Machine Translated
Plany szkoleń z technologii Kafka
Nazwa kursu
Czas trwania
Opis
Nazwa kursu
Czas trwania
Opis
14 godzin
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 godzin
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 godzin
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 godzin
In this instructor-led, live training in w Polsce (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 godzin
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 godzin
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 godzin
This instructor-led, live training in w Polsce (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 godzin
This instructor-led, live training in w Polsce (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 godzin
This instructor-led, live training in w Polsce (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 godzin
This instructor-led, live training in w Polsce (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 godzin
This instructor-led, live training in w Polsce (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 godzin
This instructor-led, live training in w Polsce (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 godzin
This instructor-led, live training in w Polsce (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 godzin
This instructor-led, live training in w Polsce (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:
Nadchodzące szkolenia z technologii Apache Kafka
Microservices with Spring Cloud and Kafka
01-03-2022 09:00
Warszawa, ul. Złota 3 / 11
21 godzin
Building Kafka Solutions with Confluent
03-03-2022 09:00
Warszawa, ul. Złota 3 / 11
14 godzin
Building Data Pipelines with Apache Kafka
07-03-2022 09:00
Warszawa, ul. Złota 3 / 11
7 godzin
Confluent KSQL
10-03-2022 09:00
Warszawa, ul. Złota 3 / 11
7 godzin
Apache Kafka Connect
23-03-2022 09:00
Warszawa, ul. Złota 3 / 11
7 godzin
Other regions
Other countries
Konsultacje
Szkolenie Apache Kafka, Kafka boot camp, Szkolenia Zdalne Apache Kafka, szkolenie wieczorowe Apache Kafka, szkolenie weekendowe Kafka, Kurs Apache Kafka,Kursy Kafka, Trener Kafka, instruktor Kafka, kurs zdalny Kafka, edukacja zdalna Kafka, nauczanie wirtualne Kafka, lekcje UML, nauka przez internet Apache Kafka, e-learning Apache Kafka, kurs online Kafka, wykładowca Apache Kafka
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