Annual Big Data Conference & Workshop



University of Miami Center for Computational Science Big Data Conference & Workshop

 

Annual Big Data Conference and Workshop

The annual Big Data Conference & Workshop is a two-day event. Now in it’s third year, the next session will be held on Thursday and Friday, January 24 & 25, 2019. Mark your calendar! CCS invites you to network with south Florida private- and public-sector healthcare providers, policy makers, entrepreneurs, educators, and researchers to hear panel discussions on the latest Big Data trends and tools by industry leaders.

 

Day 1  |  The Day 1 Big Data Conference is a free, half-day presentation in the afternoon that is followed by a networking reception.

 

University of Miami Center for Computational Science Big Data Conference 2016

University of Miami Center for Computational Science Big Data Conference networking reception

 

Day 2  |  The Day 2 Big Data Workshop dives deeper into the topics explored in Day 1, specifically on building data science competence at your organization. This is a paid, half-day morning session workshop that begins with a full breakfast and ends at lunchtime. Day 2 is interactive, with examples of the possible compositions of data scientist teams, driven by the types of problems that you are looking to solve, an examination on the processes that the data need to go through from database to insight, an examination of the infrastructure needs both in terms of storage and computing power, caveats and limitations of data analyses, and more. Participants will have the opportunity to bring in their own problem as a test case, and apply the concepts discussed in the workshop by designing a pipeline for analysis to address it. Participation is limited.

The Big Data Conference & Workshop takes place at the beautiful University of Miami Newman Alumni Center.

 

University of Miami Newman Alumni Center

Newman Alumni Center courtyard

 

More information: pre-event 2016  post-event 2016  | pre-event 2017  post-event 2017  |  Big Data 2019

 

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