Big Data Meet-up Wroclaw
- 5:30 pm – grab a beer and take a seat
- 6:00 pm – Ingest requirement checklist [EN] by Dmytro Dragan
- 6:45-7:15 pm – take a break, have a pizza and mingle time
- 7:15 pm – 10 Best Practices for architecting Data Lake solution [EN] by Adam Wiszniewski
Go BIG or go home. Or… join us during Big Data Meet-up in Wroclaw.
We will have two great talks:
#Talk 1 – Dmytro Dragan, Senior Big Data Engineer at SoftServe
Ingest requirement checklist [EN]
The Ingest process is a quite important part of any ETL workflow. And it is quite easy to miss in discussions important technical requirements regarding source systems.
In most cases we need something more precise than Five Ws and How questions.
Here we will try to go through such “checklist” and talk about different options and tradeoffs which it brings to us.
#Talk 2 – Adam Wiszniewski, Senior Big Data Engineer at SoftServe
10 Best Practices for architecting Data Lake solution [EN]
Data Lake is one of the biggest hype nowadays — every big company is trying to build one, but it is not that easy. What makes it a desirable architecture?
- The main promise of collecting structured and unstructured data without time-consuming data modeling or ETL process;
- Possibility of running different analytics on-the-fly.
Using examples based on AWS stack, we will cover architectural patterns and best practices to build the Data Lake platform as a competitive edge for companies.
Registration for the event is obligatory: http://bit.ly/2UHWoDh
Dmytro Dragan is a Big Data Engineer at SoftServe. He converts client`s ‘want to’ in production-ready solutions. His is focused on building data pipelines at scale of terabytes per day mostly on open-source frameworks and tools. He has also worked on quite disparate things such as real-time anti-fraud system, phone gpu image processing and machine learning modeling.
https://pl.linkedin.com/in/dmytrodragan
Adam Wiszniewski is a Big Data Engineer at SoftServe. He helps his clients to build effective data pipelines and data solutions. Previously, he worked in different data domains like: airline/aviation, banking and FMCG.
https://pl.linkedin.com/in/adamwiszniewski
We invite all Big Data and Data Science experts, as well as everyone who is simply interested in that area.