Welcome to the Data I/O, where you'll explore real-world datasets, uncover insights, and develop impactful data-driven solutions!


πŸ“ŒEvent Details:

πŸ“£ What You’ll Do:

βœ… Work individually or in teams to analyze datasets

βœ… Build interactive dashboards in Lovable (a vibe coder for creating intuitive, visual dashboards)

βœ… Present your findings to judges from industry and sponsors

πŸ‘₯ Organized by: Big Data & Analytics Association (BDAA)

βœ‰ Contact Us: [email protected]


Table of Contents


πŸ“†Data I/O Program Schedule

πŸ•˜Β Event Timeline

Time Activity Description
9:00–9:30 AM Check-in & Breakfast Participant check-in, distribute materials, light breakfast + networking
9:30–10:00 AM Kickoff + Challenge Release Welcome remarks, event overview, rules, and dataset/challenge announcement
10:00–10:30 AM Workshop 1 (Databricks) Databricks-led workshop covering tools, setup, and getting started
10:30 AM–1:00 PM Work Block 1 Teams begin working on projects, mentors available for early guidance
1:00–1:45 PM Lunch + Mentor Check-ins Lunch break while mentors rotate between teams for feedback
1:45–5:00 PM Work Block 2 Main development block: modeling, analysis, dashboards, iteration
5:00 - 5:30 PM Workshop 2 (Judging) Go over judging criteria, what judges are looking for, key focus areas (runs simultaneously with Work Block 3)
5:00–7:00 PM Work Block 3 (Final Sprint) Last push to finalize projects, polish presentations, submit deliverables
7:00 PM Submission Deadline Teams submit final deliverables
7:00–8:30 PM Trivia / Games + Giveaway Light activities for participants while judges begin reviewing submissions
7:00–8:45/9:00 PM Presentations Submitted + Judging Final presentations sent in; judging occurs in parallel with games
9:00–9:30 PM Awards + Closing Winners announced, prizes awarded, closing remarks