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

Marton Balassi
Solutions Architect, Cloudera

Marton Balassi is a solutions architect at Cloudera, where he focuses on data science and stream processing with big data tools. Marton is a PMC member at Apache Flink and a regular contributor to open source. He is a frequent speaker at big data-related conferences and meetups, including Hadoop Summit, Spark Summit, and Apache Big Data.


9:0012:30 Tuesday, 22 May 2018
Data science and machine learning
Location: Capital Suite 15 Level: Intermediate
Vartika Singh (Cloudera), Juan Yu (Cloudera), Marton Balassi (Cloudera), Steven Totman (Cloudera)
Average rating: ***..
(3.75, 4 ratings)
Vartika Singh, Marton Balassi, Steven Totman, and Juan Yu outline approaches for preprocessing, training, inference, and deployment across datasets (time series, audio, video, text, etc.) that leverage Spark, its extended ecosystem of libraries, and deep learning frameworks. Read more.
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.