Video Access - Big Data Technology Warsaw Summit
Are you passionate about Big Data, Data Science, Data Monetization, Real-time Stream Processing or Data Engineering?
Let's watch the videos from last year edition of Big Data Technology Warsaw Summit! Meet over 50 outstanding speakers - visionaries and experts, who work with Big Data at the top data-driven companies.
Discover the most significant trends in Big Data from 2020.
DevOps best practices in AWS cloud
Adam Kurowski, Senior DevOps, StepStone Services
Kamil Szkoda, DevOps Team Leader and Product Owner, StepStone Services
Feature store: Solving anti-patterns in ML-systems
Andrzej Michałowski, Head of AI Research & Development, Synerise
Abstraction matters
Anthony Ibrahim, Head of Ab Initio DACH/CEE, Ab Initio
It's 2020. Why are we still using 1980s tech?
Arnon Shimoni, Product Manager and Solutions Architect, SQream
Monitoring & Analysing Communication and Trade Events as Graphs
Christos Hadjinikolis, Senior Consultant, Lead ML Engineer, Data Reply UK
From bioreactors to kibana dashboards
Fabian Wiktorowski, IT Expert, Roche
How to make your Data Scientists like you and save a few bucks while migrating to cloud - Truecaller case study
Fouad Alsayadi, Senior Data Engineer, Truecaller
Juliana Araujo, Data Product Manager, Truecaller
Tomasz Żukowski, Data Analyst, GetInData
Adventure in Complex Event Processing at telco
Jakub Błachucki, Big Data Engineer, Orange
Maciej Czyżowicz, Technical Leader for Analytics Stream, Orange
Paweł Pinkos, Big Data Engineer, Orange
Building a Factory for Machine Learning at Spotify
Josh Baer, Product Lead, Machine Learning Platform, Spotify
Neural Machine Translation: achievements, challenges and the way forward
Katarzyna Pakulska, Data Science Technology Leader, Findwise
Barbara Rychalska, Senior Data Scientist and Data Science Section Leader, Findwise
Credit Risk in practice on a global scale. New technology platform and methodologies in practice
Marcin Brożek, Credit Risk Modelling Expert, ING Tech Poland
Konrad Wypchło, Senior Chapter Lead, ING Tech Poland
Reliability in ML - how to manage changes in data science projects?
Kornel Skałkowski, Senior AI Engineer, Consonance Solutions
Leveraging hybrid cloud for real-time insights with the new Cloudera Data Platform
Marton Balassi, Manager, Streaming Analytics, Cloudera
Kamil Folkert, CTO, Member of the Board, 3Soft
Omnichannel Personalization as example of creating data ROI - from separate use cases to operational complete data ecosystem
Tomasz Burzyński, Business Insights Director, Orange
Mateusz Krawczyk, Personalization Solutions Product Owner, Orange
The Big Data Bento: Diversified yet Unified
Michael Shtelma, Solutions Architect, Databricks
Science @ PMI – Journey from business problem to the data product industrialization
Michał Dyrda, Senior Enterprise Data Scientist, Philip Morris International
Maciej Marek, Enterprise Data Scientist , Philip Morris International
Scale Your Logs, Metrics, and Traces with the Elastic Stack From traditional applications to microservices and Kubernetes
Philipp Krenn, Developer, Elastic
Replication Is Not Enough for 450 PB: Try an Extra DC and a Cold Store
Stuart Pook, Senior Site Reliability Engineer, Criteo
Will we see driverless cars in 20s?
Sławomir Folwarski, Senior Architect, DXC Analytics Platform, DXC Technology
Piotr Frejowski, System Architect, DXC Robotic Drive Program, DXC Technology
Challenges of modern analytics
Thomas Scholz, Sales Engineering Manager for EMEA, Snowflake
Kafka-workers, Parallelism First
Tomasz Uliński, Software Developer, RTB House
Towards enterprise-grade data discovery and data lineage at ING with Apache Atlas and Amundsen
Verdan Mahmood, Software Engineer, ING
Marek Wiewiórka, Big Data Architect, GetInData
Presto @ Zalando: A cloud journey for Europe’s leading online retailer
Wojciech Biela, Co-founder & Senior Director of Engineering, Starburst
Piotr Findeisen, Software Engineer, Starburst
Max Schultze, Data Engineer, Zalando SE
Interactive Analytics at Alibaba
Yuan Jiang, Senior Staff Engineer, Alibaba
Data Platform at Bolt: challenges of scaling data infrastructure in a hyper growth startup
Łukasz Grądzki, Engineering Manager, Bolt
