Discovering the Right Questions in Big Data: The Colored de Bruijn Graph Approach

Posted December 12, 2017 in Business Agility & Software Engineering Excellence, Business Technology & Digital Transformation Strategies, Data Analytics & Digital Technologies Cutter Business Technology Journal
Bhuvan Unhelkar

This article touches upon a crucial challenge in the big data space: identifying the right questions for it. As data continues to explode, not only are businesses struggling to find answers to business questions, they often cannot even determine what questions to ask of their data. The authors discuss a practical experiment on classifying genetic data using a colored de Bruijn graph and show the application of this technique in the business world.

About The Author
Bhuvan Unhelkar
Bhuvan Unhelkar (BE, MDBA, MSc, PhD; FACS) is a Senior Consultant with Cutter Consortium’s Business Technology & Digital Transformation Strategies practice. He has more than two decades of strategic as well as hands-on professional experience in the information and communi­cations technologies (ICT) industry. Dr. Unhelkar is a full Professor at the University of South Florida, Sarasota-Manatee campus. As a founder of MethodScience and… Read More
Cole Lyman
Cole Lyman is studying computer science with an emphasis in bioinformatics at Brigham Young University. He is currently working with Dr. Mark Clement in the Computational Sciences Laboratory to solve difficult research problems in biology using computational methods. Mr. Lyman is also a software developer at All Point POS. He enjoys finding solutions that can scale to perform efficiently on large data sets. Mr. Lyman plans to become a professor… Read More
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