Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
Jan Kunigk

Jan Kunigk
Solutions Architect, Cloudera

Jan Kunigk has worked on enterprise Hadoop solutions since 2010. Before joining Cloudera in 2014, his tasks included building optimized systems architectures for Hadoop at IBM and implementing a Hadoop-as-a-service offering at T-Systems. In his current role as a Solutions Architect he makes Hadoop projects at Cloudera’s enterprise customers successful, covering a wide spectrum of architectural decisions to the implementation of big data applications across all industry sectors on a day-to-day basis.


14:5515:35 Thursday, 24 May 2018
Data engineering and architecture
Location: Capital Suite 2/3 Level: Intermediate
Marton Balassi (Cloudera), Mirko Kämpf (Cloudera), Jan Kunigk (Cloudera)
Average rating: *****
(5.00, 2 ratings)
Rigorous improvement of an image recognition model often requires multiple iterations of eyeballing outliers, inspecting statistics of the output labels, then modifying and retraining the model. Marton Balassi, Mirko Kämpf, and Jan Kunigk share a solution that automates the process of running the model on the testing data and populating an index of the labels so they become searchable. Read more.