Big Data Moscow 2018


Wojciech Gawroński

Pattern Match, Poland

Paweł Pikuła

Pattern Match, Poland

Sebastian Feduniak

Pattern Match, Poland

Date: October 10, 2018
Time: 10:00-17:00
Language: English

About Wojciech Gawroński

Software and Operations Engineer. During the day BEAM (Erlang and Elixir), DevOps and Cloud Computing enthusiast, during the night – meet-ups organizer, bookworm, and IT geek. Certified AWS cloud geek and co-organizer of Functional Miners meet-up in Silesia, Poland (an event about functional programming, paradigm and programming languages theory in general).

About Paweł Pikuła

Software and Operations Engineer working with systems that process billions of requests per day. He is a certified AWS expert with more than 5 years of experience in designing and implementing big scale systems across many different industries including Ad Tech, Instant Messaging and IoT. He is functional programming enthusiast, Pozspecialising in BEAM platform – Elixir & Erlang languages.

About Sebastian Feduniak

Software and Operations Engineer. Java expert, Erlang lover, DevOps and Cloud Computing practitioner with almost 10 years of experience in IT industry.


Amazon SageMaker in Practice

At re:Invent in 2017 Amazon announced new service – SageMaker, that allows you to build, train and deploy ML models at any scale. Sounds fantastic, but is it true?

We challenged the marketing taglines and decided to test a specific use case which is familiar to us: ad targeting.

During the workshop, which is an adventure itself, we build an approximation of an ad targeting system with the use of Amazon SageMaker – from development to deployment. We show how with use of such service you can start small and be pretty confident about scaling up and expanding the system later.

We start from the ground up, so no worries – there is no need for previous experience with advertising systems and neither AWS, although general knowledge about machine learning or data crunching is a plus. If you were curious after the last year’s re Invent announcement, that is a workshop for you!


  • Introduction and Installation Party.
  • Introducing AWS and Amazon SageMaker.
  • Introducing problem and our domain (Ad Targeting and AdTech).
  • Gradually building up feature set of our ad targeting system (that step focuses on possibilities that Amazon Sage Maker gives us).
  • Deployment into the production environment.
  • Testing final solution.
  • Summary and Recap.


– We would like to build ad targeting mechanism with use of Amazon SageMaker.

–  Starting from development, building up more features, training it and ending on deployment.

–  Such solution will provide enough confidence to be scaled up and used on a larger scale.

Target audience

  • Talk level: 200 (intermediate).
  • People interested in learning more about AWS SageMaker and operational side of ML in the cloud.
  • People interested in learning more about AdTech and Ad Targeting.
  • People interested in learning more about Machine Learning and Data Science

Course prerequisites

  • Notebook
  • Favorite Editor
  • Modern Web Browser
  • WiFi Access in the room during workshops.

We will organize AWS Accountsfor the participants. At the maximum, we support 25 people during the workshop. 

Date: October 10, 2018