KensuData Science for the Enterprise

Kensu Created in 2015

Mission: Lifting Data Science to the

Enterprise level

Product: ADALOG

Team Andy Petrella

Math, Spark Notebook

Xavier Tordoir Physics, Genomics

2 -> 11 scientists in 2016 Plenty of positions more in 2017

Data Science Team minded

Platform dedicated to data science team

Using production data

Including tooling

prototyping (local)

project (distributed)

Test Accept Prod

Data ScienceSpark

MesosHDFS Cassandra

KafkaSpark-Notebook JupyterCloudianMarathon Chronos

Git Artifactory

Enterprise

Production oriented

Integration of the whole production toolchain (in scala / JVM)

Satisfying the established processes

One-click deployment

Schema oriented micro services

Extensibility (support for libraries, …)

Test Accept Prod

Data ScienceSpark

MesosHDFS Cassandra

KafkaSpark-Notebook JupyterCloudianMarathon Chronos

Git Artifactory

Enterprise

Context awareness

Data lineage

Data statistics live-harvesting

Automatic pipelining

User awareness

Use case awareness

Runtime awareness

Open SDK (integration with all data science tools)

Efficiency catalyser

Data recommendation

Model recommendation

User recommendation

Quality monitoring

Root cause analysis

Risk analysis

and more…

DEMO! (probably long ^^)

(there are/will be some pizza…)

Stay tune (@kensuio) Demo accesses on the way

Specially for O’Reilly trainees

We’re hiring! http://kensu.io

contact@kensu.io

KensuData Science for the Enterprise

Q/A