Lokala, instruktörsledda Apache Kafka-kurser visar genom interaktiva diskussioner och handson-övningar hur man skapar och driver en Kafka-budskapsmäklare Kafka-träning är tillgänglig som "live-träning" eller "fjärr-live-träning" Utbildning på plats kan genomföras lokalt på kundlokaler i Sverige eller i NobleProgs företagsutbildningscenter i Sverige Fjärrutbildning sker genom en interaktiv fjärrskrivbord Kafka-kurser omfattar integrering av Kafka med andra Big Data-system samt hur man konfigurerar realtidsdata-pipelines för streaming-applikationer NobleProg Din lokala utbildningsleverantör.
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Vittnesmål
Instruktören ger sin tid att förklara ämnet och vi ser mycket detaljerat om installation av nödvändig programvara för att ha kafka corriendp Ju
Juan Manuel Del Alto - Hewlett Packard Centro de Servicios Globales S de RL
Kurs: Distributed Messaging with Apache Kafka
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Informativ och hade rätt detaljnivå tror jag.
Asif Akhtar
Kurs: Distributed Messaging with Apache Kafka
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Jag fick verkligen nytta av det enkla att följa.
Zach Henke
Kurs: Distributed Messaging with Apache Kafka
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Övningarna, och särskilt när de inte fungerade (självklart mitt fel men att hitta fel är en del av jobbet).
Peter Hendriks
Kurs: Distributed Messaging with Apache Kafka
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Jag tyckte mest om kunskapen om tränaren.
Christian Langer
Kurs: Distributed Messaging with Apache Kafka
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Jag gillade verkligen detaljförklaringarna, väl förberedda dokumentet.
Allen Jeong
Kurs: Distributed Messaging with Apache Kafka
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Jag fick nytta av de praktiska råd (för Kafka konfiguration och hantering).
OLAmobile
Kurs: Distributed Messaging with Apache Kafka
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Jag fick nytta av de praktiska exemplen, tränare nytt vad han pratar om.
Rumos
Kurs: Distributed Messaging with Apache Kafka
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Trafiken känner verkligen Kafka mycket bra och har mycket produktionserfarenhet i frågan.
Matej Puntra
Kurs: Distributed Messaging with Apache Kafka
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Träningen styrdes i den riktning som laget ville ha. Tränaren är för bra med stor erfarenhet av att hantera koncept som skalbarhet, prestanda, utvecklings- och distribueringsstandarder och är mycket snabb i utbildningen för att hantera frågor från olika nivåer som kod, design, arkitektur och bästa praxis etc.
Sarita Velagapudi - Welcome Real-time (ASPAC) Pte Ltd
Kurs: Distributed Messaging with Apache Kafka
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Begrepp, hur det presenterades, mycket kommunikativ, mycket hjälpsam, bred kunskap.
Sreenivasulu Narasingu - Welcome Real-time (ASPAC) Pte Ltd
Kurs: Distributed Messaging with Apache Kafka
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Jag åtnjöt mest mängden ämnen som omfattas.
Ipreo
Kurs: Distributed Messaging with Apache Kafka
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Kunna prata lätt med tränaren.
VSC Technologies
Kurs: Distributed Messaging with Apache Kafka
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Tränarens tillvägagångssätt, sättet att överföra kunskap.
Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Kurs: Distributed Messaging with Apache Kafka
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sätt att genomföra, praktiska övningar
darek lesiak - Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Kurs: Distributed Messaging with Apache Kafka
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ämnen
Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Kurs: Distributed Messaging with Apache Kafka
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interaktivitet, kontakt med tränaren och dess objektivitet
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Kurs: Distributed Messaging with Apache Kafka
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Bra kontakt med lyssnare, stor kunskap om tränaren.
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Kurs: Distributed Messaging with Apache Kafka
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Intressanta exempel på övningar
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Kurs: Distributed Messaging with Apache Kafka
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Intressanta övningar, presentera arkitekturen och driften av Apache Kafka på diagram.
Damian Niesteruk - Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Kurs: Distributed Messaging with Apache Kafka
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Kunskap är en tveksam fördel med läraren.
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Kurs: Distributed Messaging with Apache Kafka
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Påminna/granska nyckel punkter av de ämnen som diskuteras.
Paolo Angelo Gaton - SMS Global Technologies Inc.
Kurs: Building Stream Processing Applications with Kafka Streams
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-
Roxane Santiago - SMS Global Technologies Inc.
Kurs: Building Stream Processing Applications with Kafka Streams
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Labbövningarna. Tillämpa teorin från den första dagen i efterföljande dagar.
Dell
Kurs: A Practical Introduction to Stream Processing
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Att varje ämne var en förlängning av det föregående. Tränaren var mycket trevlig och hjälpsam.
Pavel Ignatov - Пейсейф България ЕООД
Kurs: Microservices with Spring Cloud and Kafka
Machine Translated
Tränaren hade så omfattande kunskap och erfarenhet att han kunde svara på alla frågor som ställs inom träningsområdet. Allt du behövde göra var att fråga dem.
Powszechny Zakład Ubezpieczeń Spółka Akcyjna
Kurs: Kafka for Administrators
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bra teori till träningsförhållande, fin förmåga att intressera lyssnare under teorin
Powszechny Zakład Ubezpieczeń Spółka Akcyjna
Kurs: Kafka for Administrators
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Alla.
Jean-Michel Bidon
Kurs: Kafka for Administrators
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Apache Kafka läroplaner
Kurs Namn
Varaktighet
Översikt
Kurs Namn
Varaktighet
Översikt
14 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
In this instructor-led, live training in Sverige (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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
This instructor-led, live training in Sverige (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 timmar
Översikt
This instructor-led, live training in Sverige (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 timmar
Översikt
This instructor-led, live training in Sverige (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 timmar
Översikt
This instructor-led, live training in Sverige (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 timmar
Översikt
This instructor-led, live training in Sverige (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 timmar
Översikt
This instructor-led, live training in Sverige (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 timmar
Översikt
This instructor-led, live training in Sverige (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 timmar
Översikt
This instructor-led, live training in Sverige (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.
Kommande Kafka Kurser
19-08-2021 09:30
7 timmar
02-09-2021 09:30
14 timmar
15-09-2021 09:30
21 timmar
20-09-2021 09:30
14 timmar
23-09-2021 09:30
14 timmar
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