Helyi, oktatott élő Apache Kafka tanfolyamok interaktív megbeszéléseken keresztül bemutatják a Kafka üzenetközvetítő üzembe helyezését és működtetését A Kafka tréning elérhető "helyszíni élő edzés" vagy "távoli élő képzés" formájában A helyszíni élő képzés helyi szinten valósulhat meg az ügyfél telephelyén Magyarország vagy a NobleProg vállalati oktatóközpontjaiban Magyarország A távoli élőképzés interaktív, távoli asztal segítségével történik A Kafka képzések lefedik a Kafka más Big Data rendszerek integrációját, valamint a valós idejű adatcsővezetékek létrehozását a streaming alkalmazásokhoz NobleProg Az Ön Helyi Képzési Szolgáltatója.
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Vélemények
Az oktató megadja a maga idejét a témák magyarázatában, és nagyon sok részletet látunk a szükséges szoftver telepítéséről, hogy a kafka corriendp
Juan Manuel Del Alto - Hewlett Packard Centro de Servicios Globales S de RL
Kurzus: Distributed Messaging with Apache Kafka
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Tájékoztató és helyes részletességgel gondoltam.
Asif Akhtar
Kurzus: Distributed Messaging with Apache Kafka
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Nagyon jól profitáltam a könnyű követéstől.
Zach Henke
Kurzus: Distributed Messaging with Apache Kafka
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A gyakorlatok, és különösen, ha nem működtek (nyilvánvalóan az én hibám, de a hibakeresés része a munkának).
Peter Hendriks
Kurzus: Distributed Messaging with Apache Kafka
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Leginkább a Trainer tudását szerettem.
Christian Langer
Kurzus: Distributed Messaging with Apache Kafka
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Igazán tetszettek a részletes magyarázatok, jól elkészített dokumentum.
Allen Jeong
Kurzus: Distributed Messaging with Apache Kafka
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A gyakorlati tanácsokból (a Kafka konfigurációjához és menedzsmentjéhez) járultak hozzá.
OLAmobile
Kurzus: Distributed Messaging with Apache Kafka
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A gyakorlati példákból profitáltam, újból felkészítettem, hogy mit beszél.
Rumos
Kurzus: Distributed Messaging with Apache Kafka
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Az edző nagyon jól ismeri a Kafkát, és sok tapasztalattal rendelkezik az ügyben.
Matej Puntra
Kurzus: Distributed Messaging with Apache Kafka
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Az edzést abban az irányban irányították, amelyet a csapat akart. Az oktató túl jó, hatalmas tapasztalatokkal rendelkezik olyan fogalmak kezelésében, mint például a skálázhatóság, teljesítmény, fejlesztési és telepítési szabványok, valamint nagyon gyors a képzésben, hogy különböző szintű kérdésekre válaszoljon, például a kód, a tervezés, az építészet és a bevált gyakorlatok vonatkozásában stb.
Sarita Velagapudi - Welcome Real-time (ASPAC) Pte Ltd
Kurzus: Distributed Messaging with Apache Kafka
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A fogalmak, a bemutatás módja, nagyon kommunikatív, nagyon hasznos, széles tudás.
Sreenivasulu Narasingu - Welcome Real-time (ASPAC) Pte Ltd
Kurzus: Distributed Messaging with Apache Kafka
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Leginkább a témák számát élveztem.
Ipreo
Kurzus: Distributed Messaging with Apache Kafka
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Könnyű beszélgetni az oktatóval.
VSC Technologies
Kurzus: Distributed Messaging with Apache Kafka
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Az edző megközelítése, a tudás átadásának módja.
Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Kurzus: Distributed Messaging with Apache Kafka
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gyakorlatias gyakorlatok
darek lesiak - Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Kurzus: Distributed Messaging with Apache Kafka
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témák
Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Kurzus: Distributed Messaging with Apache Kafka
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az interaktivitás, az oktatóval való kapcsolat és az objektivitás
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Kurzus: Distributed Messaging with Apache Kafka
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Jó kapcsolat a hallgatókkal, a tréner jelentős ismerete.
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Kurzus: Distributed Messaging with Apache Kafka
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Érdekes példa a gyakorlatokról
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Kurzus: Distributed Messaging with Apache Kafka
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Érdekes feladatok, bemutatva az Apache Kafka architektúráját és működését a diagramokon.
Damian Niesteruk - Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Kurzus: Distributed Messaging with Apache Kafka
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A tudás az előadó kétségtelen előnye.
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Kurzus: Distributed Messaging with Apache Kafka
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EMLÉKEZTETVE/felülvizsgálata keypoints a tárgyalt témák.
Paolo Angelo Gaton - SMS Global Technologies Inc.
Kurzus: Building Stream Processing Applications with Kafka Streams
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-
Roxane Santiago - SMS Global Technologies Inc.
Kurzus: Building Stream Processing Applications with Kafka Streams
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A laboratóriumi gyakorlatok. Az elmélet alkalmazása a következő napok első napjától kezdve.
Dell
Kurzus: A Practical Introduction to Stream Processing
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Hogy minden téma a korábbi kiterjesztése volt. Az edző nagyon kedves és segítőkész volt.
Pavel Ignatov - Пейсейф България ЕООД
Kurzus: Microservices with Spring Cloud and Kafka
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Az oktatónak olyan széles ismerete és tapasztalata volt, hogy képes volt megválaszolni minden, a képzés területén feltett kérdést. Csak annyit kellett kérdeznie tőlük.
Powszechny Zakład Ubezpieczeń Spółka Akcyjna
Kurzus: Kafka for Administrators
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jó elmélet és gyakorlat arány, jó képesség, hogy felhívja a hallgatókat az elmélet során
Powszechny Zakład Ubezpieczeń Spółka Akcyjna
Kurzus: Kafka for Administrators
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Minden.
Jean-Michel Bidon
Kurzus: Kafka for Administrators
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Apache Kafka Course Outlines
Kurzusnév
Időtartalma
Összefoglaló
Kurzusnév
Időtartalma
Összefoglaló
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 Magyarország (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 Magyarország (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 Magyarország (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 Magyarország (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 Magyarország (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 Magyarország (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 Magyarország (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 Magyarország (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
This instructor-led, live training in Magyarország (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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