Announcing Call For Papers for Big Data Tech Warsaw 2018
Interested in sharing your knowledge with large audience of technical folks? If you are, then feel invited to submit an abstract for Big Data Tech Warsaw, which will be held February 22nd, 2018 in Warsaw, Poland.
Big Data Tech Warsaw is one of the largest technical Big Data conferences in central Europe. It’s an exciting one-day event with technical content in the fields of large-scale data analysis, scalability, storage and search. In our agenda you will find practical and technical presentations given by true experts who work at top data-driven companies. They will share their recommendations, tools, models, successes and failures.
This will be the 4th edition of this conference. We expect 500+ attendees from various countries, 50+ outstanding speakers and panelists. Each of the three previous editions of the conference in 2015, 2016 and 2017 was a great success.
Call For Papers
The Call For Papers is already open and waits for your abstracts to be submitted!
The deadline for submitting papers is October 16th, 2017 and we’ll notify the authors of their acceptance by the committee before or on October 30th, 2017. You can find all key dates here.
The submissions about case studies, technology that solves real-world problems, best practices and lessons learned are particularly welcome. Because the conference is targeted to the technical audience, the submissions containing outright sales pitches and commercial presentations will be rejected. The audience (packed full of technical folks!) is our main focus!
We have 4 tracks:
• Operations & Deployment – technologies and best practices for planning, installing, operating, monitoring and securing Big Data infrastructures in enterprise environments – both on-premise and the cloud.
• Data Engineering – tools, techniques and innovative solutions to collect, store and process large volumes of data. Topics like data ingestion, ETL, distributed engines, job scheduling, metadata and schema management, distributed datastores etc.
• Data Science – real case-studies about large-scale Machine Learning, AI, A/B tests, visualization, plus various tools and techniques for making data-driven decisions and build data-driven products.
• Real-Time Processing – technologies and use-cases for real-time data ingestion and actionable insights from stream of events coming from sensors, devices, users, and front-end systems.
Submissions will be reviewed by the program committee that is composed by members of the Big Data community and top data-driven companies including Spotify, Criteo, Allegro, dataArtisans and GetInData.
It will be a real meeting of professionals. We look forward to seeing you there!