Using Probabilistic Data Structures to reduce costs by João Neves & Carlos Rodrigues
Channel: Big Things Conference
Date: 10/12/2019

In this talk, João Neves & Carlos Rodrigues described how they have evolved to an optimized solution leveraging Probabilistic Data Structures. For that, they first walked through the advantages and drawbacks of the former and then, they performed the same analysis for the latter solution. Then they explained what are probabilistic data structures, what are the common use cases for each and they showed the attendees how trivial it is to implement these structures with code samples. In the end, they described how these structures enabled to balance the trade-off between accuracy and costs of the queries of their serving architecture by providing a fuzzy view of their data sources.

#BIGTH19 #Analytics #BigData

Session presented at Big Things Conference 2019 by João Neves, Machine Learning Engineer at Siemens, and Carlos Rodrigues, Data Scientist & Lead Cloud Engineer at Siemens
20th November 2019
Kinépolis, Madrid

Do you want to know more? https://www.bigthingsconference.com/