Cursurile de formare locale Apache Kafka, instruite live, demonstrează prin discuții interactive și practici practice cum să înființeze și să opereze un broker de mesaje Kafka Instruirea Kafka este disponibilă ca "formare live la fața locului" sau "instruire live la distanță" Training-ul live la fața locului poate fi efectuat la fața locului la sediul clientului România sau în centrele de formare corporativa NobleProg din România Instruirea live la distanță este realizată printr-un desktop interactiv, la distanță Cursurile de formare Kafka acoperă integrarea Kafka cu alte sisteme Big Data, precum și modul de configurare a conductelor de date în timp real pentru aplicațiile de streaming NobleProg Furnizorul dvs de formare locală.
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Mărturii
Instructorul își dă vremea în explicarea subiectelor și vedem mult în detaliu în legătură cu instalarea software-ului necesar pentru a avea kafka corriendp Juan
Juan Manuel Del Alto - Hewlett Packard Centro de Servicios Globales S de RL
Curs: Distributed Messaging with Apache Kafka
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Informativ și cu un nivel corect de detaliu, cred.
Asif Akhtar
Curs: Distributed Messaging with Apache Kafka
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Chiar am beneficiat de ușor de urmat.
Zach Henke
Curs: Distributed Messaging with Apache Kafka
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Exercițiile, și mai ales când nu au funcționat (evident, vina mea, dar găsirea greșelilor face parte din loc de muncă).
Peter Hendriks
Curs: Distributed Messaging with Apache Kafka
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Mi-a plăcut mai mult cunoștințele Trainerului.
Christian Langer
Curs: Distributed Messaging with Apache Kafka
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Mi-a plăcut cu adevărat explicațiile detaliate, un document bine pregătit.
Allen Jeong
Curs: Distributed Messaging with Apache Kafka
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Am beneficiat de sfaturi practice (pentru configurarea și managementul Kafka).
OLAmobile
Curs: Distributed Messaging with Apache Kafka
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Am beneficiat de exemplele practice, de antrenor nou despre ce vorbește el.
Rumos
Curs: Distributed Messaging with Apache Kafka
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Trainerul îl cunoaște foarte bine pe Kafka și are o mulțime de experiență în materie de producție.
Matej Puntra
Curs: Distributed Messaging with Apache Kafka
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Antrenamentul a fost orientat în direcția dorită de echipă. Instructorul este prea bun cu o vastă experiență în gestionarea conceptelor precum scalabilitatea, performanța, standardele de dezvoltare și implementare și foarte rapid în formare în abordarea întrebărilor de la diferite niveluri, precum cod, design, arhitectură și bune practici etc.
Sarita Velagapudi - Welcome Real-time (ASPAC) Pte Ltd
Curs: Distributed Messaging with Apache Kafka
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Concepte, modul în care a fost prezentat, foarte comunicativ, foarte util, cunoaștere largă.
Sreenivasulu Narasingu - Welcome Real-time (ASPAC) Pte Ltd
Curs: Distributed Messaging with Apache Kafka
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M-am bucurat cel mai mult de numărul de subiecte abordate.
Ipreo
Curs: Distributed Messaging with Apache Kafka
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Fii capabil să vorbești cu ușurință cu formatorul.
VSC Technologies
Curs: Distributed Messaging with Apache Kafka
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Abordarea antrenorului, modul de transmitere a cunoștințelor.
Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Curs: Distributed Messaging with Apache Kafka
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modul de desfășurare, exerciții practice
darek lesiak - Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Curs: Distributed Messaging with Apache Kafka
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subiecte
Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Curs: Distributed Messaging with Apache Kafka
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interactivitate, contact cu formatorul și obiectivitatea acestuia
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Curs: Distributed Messaging with Apache Kafka
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Bun contact cu ascultătorii, cunoștințe considerabile ale formatorului.
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Curs: Distributed Messaging with Apache Kafka
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Exemple interesante de exerciții
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Curs: Distributed Messaging with Apache Kafka
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Exerciții interesante, care prezintă arhitectura și funcționarea Apache Kafka pe diagrame.
Damian Niesteruk - Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Curs: Distributed Messaging with Apache Kafka
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Cunoașterea este un avantaj indubitabil al lectorului.
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Curs: Distributed Messaging with Apache Kafka
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Reamintind/revizuirea keypoints de subiecte discutate.
Paolo Angelo Gaton - SMS Global Technologies Inc.
Curs: Building Stream Processing Applications with Kafka Streams
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Roxane Santiago - SMS Global Technologies Inc.
Curs: Building Stream Processing Applications with Kafka Streams
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Exerciții de laborator. Aplicarea teoriei din prima zi în zilele următoare.
Dell
Curs: A Practical Introduction to Stream Processing
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Că fiecare subiect a fost o extensie a precedentului. Instructorul a fost foarte drăguț și de ajutor.
Pavel Ignatov - Пейсейф България ЕООД
Curs: Microservices with Spring Cloud and Kafka
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Instructorul a avut cunoștințe și experiență atât de vaste încât a putut să răspundă la toate întrebările puse în domeniul instruirii. Tot ce trebuia să faci era să îi ceri.
Powszechny Zakład Ubezpieczeń Spółka Akcyjna
Curs: Kafka for Administrators
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raport bun dintre teorie și exercițiu, abilitate plăcută de a interesa ascultătorii în timpul teoriei
Powszechny Zakład Ubezpieczeń Spółka Akcyjna
Curs: Kafka for Administrators
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Toate.
Jean-Michel Bidon
Curs: Kafka for Administrators
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Apache Kafka Course Outlines
Numele cursului
Durata
Sinoptic
Numele cursului
Durata
Sinoptic
14 hours
Sinoptic
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
Sinoptic
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
Sinoptic
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
Sinoptic
In this instructor-led, live training in România (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
Sinoptic
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
Sinoptic
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
Sinoptic
This instructor-led, live training in România (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
Sinoptic
This instructor-led, live training in România (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
Sinoptic
This instructor-led, live training in România (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
Sinoptic
This instructor-led, live training in România (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
Sinoptic
This instructor-led, live training in România (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
Sinoptic
This instructor-led, live training in România (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
Sinoptic
This instructor-led, live training in România (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
Sinoptic
This instructor-led, live training in România (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.
Upcoming Kafka Courses
24-11-2021 09:30
21 ore
02-12-2021 09:30
7 ore
02-12-2021 09:30
7 ore
13-12-2021 09:30
7 ore
20-12-2021 09:30
14 ore
Consultanță
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