Data Processing

Data processing occurs when data is collected and translated into usable information. Usually performed by a data scientist or team of data scientists, it is important for data processing to be done correctly as not to negatively affect the end product, or data output. Data processing starts with data in its raw form and converts it into a more readable format (graphs, documents, etc.), giving it the form and context necessary to be interpreted by computers and utilized by employees throughout an organization.

Track Chairs

Jarek Potiuk
As the CTO Jarek built software house 10-fold: from 6 to 60 people. After a few years of being the CTO, he decided to go back to a full-time engineering role and he works as a Principal Software Engineer in his company (and is super happy about it). Jarek has been working as an engineer in many industries – Telecoms, Mobile app development, Google, Robotics and Artificial Intelligence, Cloud and Open Source data processing. Jarek is currently PMC in the Apache Airflow project.
Tomek Urbaszek
Tomek is a software enigineer with experience in data processing and cloud solutions. He's an open-source enthusiast and chapter lead of Apache Local Community in Warsaw. In his free time, he is a book and philosophy lover with a big interest in financial markets.