Fast Online Access to Massive Offline Data at LinkedIn (Felix GV, SECR-2016) — различия между версиями
Материал из 0x1.tv
StasFomin (обсуждение | вклад) (Новая страница: «;Докладчик: {{Speaker|Felix GV}} <blockquote> Voldemort is an open-source distributed key value store capable of bulk loading large data sets from Hadoop…») |
StasFomin (обсуждение | вклад) (Batch edit: replace == Слайды == with {{SlidesSection}}) |
||
== Видео ==
{{vimeoembed|190378894|800|450}}
<!-- {{youtubelink|}} -->
== Слайды =={{SlidesSection}}
[[File:Fast Online Access to Massive Offline Data at LinkedIn (Felix GV, SECR-2016).pdf|left|page=-|300px]]
{{----}}
== Примечания и отзывы ==
* [http://2016.secr.ru/lang/en/program/submitted-presentations/fast-online-access-to-massive-offline-data-at-linkedin Страничка доклада на сайте конференции]
<!-- <blockquote>[©]</blockquote> -->
<references/>
<!-- topub -->
[[Категория:SECR-2016]] | |||
Версия 13:37, 22 декабря 2016
- Докладчик
- Felix GV
Voldemort is an open-source distributed key value store capable of bulk loading large data sets from Hadoop. At LinkedIn, the Voldemort clusters ingest more than 100 terabytes of fresh data every day, while serving requests at sub-millisecond latency. This talk explains the Voldemort architecture, what recent improvements were contributed, and how to get started.
The intended audience is software developers interested in leveraging Voldemort in their own stack, and infrastructure developers interested in distributed systems architecture.
Видео
Презентация
Примечания и отзывы