Duration:

Czas trwania szkolenia krótsza wersja: 5 days
Czas trwania szkolenia: 5 days. The training program is tailored to the needs of the group.

Training addressees

adresaci-szkolenia: The training is addressed to programmers and business analysts whose goal is to learn about Big Data tools. Basic knowledge of Java or Scala is recommended.

Big Data with Apache Family (Hadoop, Spark)

Purpose of training

The main objective of the training is to acquire practical skills of Big Data technologies and Scala language. Participants will learn how to effectively use technologies (Apache Spark, Apache Kafka, Apache NiFi, Apache Druid and Apache Hadoop) commonly used in designing platforms that process large amounts of data. Workshops are an important part of the training.

Training plan:

 

Ask for training Big Data with Apache Family (Hadoop, Spark)

Bez tytułu

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Get to know your trainers

Piotr Guzik

CEO of Datumo. I am a graduate of WEiTI PW. After almost 5 years of working in the JVM environment, I came to the conclusion that I am really passionat...

Daniel Pogrebniak

Board member and co-founder of Datumo. Experienced JVM developer with many years of practice. A graduate of the Faculty of Electronics and Information ...

Michał Misiewicz

A person who combines work with passion. I am a graduate of WEITI PW. I started my adventure with data processing at Allegro, where I gained solid tech...

Rafał Rozpondek

I specialize in Big Data processing, mainly in solutions from the Apache family. I support and design numerous Big Data platforms, both in terms of clo...

Why is it worth choosing Datumo training?

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Practical classes

The trainings are conducted in the form of workshops, and the theory is explained on the basis of examples.

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Learning system

Which allows you to develop practical skills related to a given technology.

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Experienced trainers

Big Data specialists with many years of practice, working in the industry on a daily basis.

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Workshops

Allows for an individual approach and activation of each participant.