Call for Papers

Call for Papers is closed. Submissions are no longer possible. Sorry.
finished 423 days ago

Big Data Fest by SoftServe

event starts

24 May 2023

event ends

25 May 2023



The Big Data Fest 2023 is a two-day online event that brings together experts, enthusiasts, and members of the community to discuss the latest developments, trending technologies, and tools, and make an impact on the future of Big Data and Data Engineering.

Attendees will have the opportunity to hear from keynote speakers, attend panel discussions and live Q&As, and participate in hands-on workshops.

The event will also feature a charity component aimed at raising money for Open Eyes Fund to buy ambulances for the hottest spots in Ukraine. We invite everyone to support this event and help make a difference in saving lives.

Participation in the event is free, but we encourage attendees to make donations to support this important initiative.

The conference will include a variety of activities divided into cloud streams, such as:

  • Keynote speeches from leading experts in the field of Big Data
  • Live Q&As
  • Panel discussions on the future of Data Engineering
  • Hands-on workshops on data management and analytics
  • Networking opportunities with top professionals and leading experts in the field.

Our main goal is to influence the future shape of Data Engineering and promote the use of Big Data for the greater good.

finished 462 days ago
Call for Papers
Call opens at 12:00 AM

01 Jan 2023

Call closes at 11:59 PM

15 Apr 2023

Call closes in FLE Daylight Time (UTC+03:00) timezone.
Closing time in your timezone () is .

Thank you for your interest in becoming a part of our upcoming conference from Big Data Community by SoftServe!

For this event, we are looking for topics that are focusing on various aspects of Data Engineering and Big Data.

  • The main areas of interest are Data Integration, modeling, architectures; Data security; Data Mesh; DataOps; Serverless DWH ad Analytics; AI in SQL; Edge computing for data; Migrating Hadoop to Cloud; Hybrid and low-code data analytics; BI.

All topics relevant to the conference will be considered, but preference will be given to proposals with strong practical elements, case studies, and industry updates.