Training Taster Optimizing Spark

September 2, 2021 / Online event

Optimizing Spark

Processing data efficiently can be challenging as it scales up. Building up from the experience we built at the largest Apache Spark users in the world, we give you an in-depth overview of the do’s and don’ts of one of the most popular analytics engines out there.

What is a Training Taster?

Get a free introduction by the trainer. This way you’ll know what the training is about and how this can support your development. You’ll also have the opportunity to ask any questions you may have.

This online Training Taster is perfect for

Data and Machine Learning Engineers who deal with transformation of large volumes of data and need production-quality code.

Expert Data Scientists can also participate: they will learn how to get the most performance out of Spark and how simple tweaks can increase the performance dramatically.

What You’ll Learn

  • Spark components architecture
  • Spark internals: Memory, Caching, and more
  • Spark optimisation: main problems and issues

Roman Ivanov – Trainer

roman bokeh
Roman is a Machine Learning Engineer who brings Data and AI solutions to production. He has a background of Master of Computer Science, specialised on Computer Systems and Networks. With more than 10 years of industry experience in software and data engineering with companies like UBS Bank (CH), Citigroup Bank (US) and XITE Music TV (NL).
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