Pr. Kurnicki (Hult International Business School) - Frictionless Data Mining for Advanced Learning
Name:
Thomas Kurnicki
Title:
Professor
Country:
United States
Organization:
Hult International Business School
Description:
Hult International Business School is a new kind of non-profit business school that constantly innovates to meet the needs of students, employers, and society in a world that is changing faster than ever before. More than a business school, Hult is a dynamic and multicultural community that educates, inspires, and connects some of the most forward-thinking business talent from around the world.
Awards Categories:
- Excellence in Teaching
Challenge:
Before using Dataiku, our Data Mining class was based on 5 different data environments and IDEs: SQL Server, MongoDB, Hadoop, Arrangemo DB. Students had to navigate from one access point to another. Students would report multiple tech issues in different systems and our teaching assistants spent a lot of time trouble-shooting.
Solution:
Dataiku helped us consolidate the environments. Instead of using 5 different environments (accessible from different apps), we used Dataiku as an all in one software where students could seamlessly move data between the different environments. At the end, students used one software, Dataiku, throughout the entire class.
Impact:
The Data Mining class allows students to explore many different data environments and learn the advantages and disadvantages of using a particular data environment for a given business case. Students learn when they should use a SQL, NoSQL, Hadoop environment and how to make that decision.
By enabling them to switch in just a few clicks, Dataiku removes the friction and enables them to quickly compare and assess the most relevant technology for their project - saving much-needed time and headaches. In the real-world, many data teams need to connect to multiple data sources to collect required data - this class shows students how to do that.