From history to vectors — data warehouse for scoring system (Evgenij Vinogradov, SECR-2015) — различия между версиями

== References ==
<!-- <blockquote>[©]</blockquote> -->

* [http://2015.secrus.org/lang/en/program/submitted-presentations/from-history-to-vectors-data-warehouse-for-scoring-system The Conference Page]

<references/>



{{stats|disqus_comments=0|refresh_time=2021-08-31T16:21:30.618925|vimeo_comments=0|vimeo_plays=1|youtube_comments=0|youtube_plays=86}}

[[Категория:SECR-2015]]
[[Категория:Talks in English]]
[[Категория:Machine Learning]]

Текущая версия на 12:19, 4 сентября 2021

Speaker

Евгений Виноградов

Real time scoring and classification of transactions usulally need a special approach to data warehouse architecture.

What if you need a scoring based on virtually unlimited amounts of data, which should be up-to-date and scalable?

At the conference I’m going to talk on architecture that was efficent in our case, issues that we faced and approaches we used that led us to success.

English translation of the talk От истории к векторам — хранилище данных для системы скоринга (Евгений Виноградов, SECR-2015)

Video

Slides

References

• The Conference Page

Plays:87   Comments:0