Presented By O'Reilly and Cloudera
Make Data Work
5–7 May, 2015 • London, UK
Mikio Braun

Mikio Braun
Principal Engineer, Search, Zalando

Website | @mikiobraun

Mikio Braun is co-founder of streamdrill, a startup focused on approximative approaches for real-time big data, and post-doc researcher at TU Berlin, Germany. He holds a Ph.D. in Machine Learning and has worked in research for a number of years, before becoming interested in putting research results into good use in the industry. His current interests focus on anything to do with real-time data analysis, in particular using approximative approaches beyond scaling.

Sessions

11:45–12:25 Thursday, 7/05/2015
Data Science
Location: King's Suite - Balmoral
Mikio Braun (Zalando)
Average rating: ****.
(4.40, 5 ratings)
While the data management side of Big Data has seen tremendous progress in the past few years, bringing technologies like Hadoop or Spark together with advanced machine learning and data analysis methods is still a major challenge. In this talk, I will discuss recent advances, approaches, and patterns which are used to build truly scalable machine learning solutions. Read more.