Data Work Out - Performant & Scalable Data Science

Join us in Berlin on February 25th for our meetup with Snowflake!

Data Work Out
Performant and scalable Data Science with Dataiku DSS and Snowflake

Managing the whole process of setting up a machine learning environment from end-to-end becomes significantly easier when using cloud-based technologies. The ability to provision infrastructure on demand (IaaS) solves the problem of manually requesting virtual machines. It also provides immediate access to compute resources whenever they are needed. But that still leaves the administrative overhead of managing the ML software and the platform to store and manage the data.

A fully managed end-to-end machine learning platform like Dataiku Data Science Studio (DSS) that enables data scientists, machine learning experts, and even business users to quickly build, train and host machine learning models at scale, needs to access data from many different sources and can also access data provided by Snowflake. Storing data in Snowflake has three significant advantages: a single source of truth, shorten the data preparation cycle, scale as you go.

We’ll show you how to use Dataiku DSS and Snowflake together for a performant and scalable end-to-end solution. And of course, there is pizza and drinks, too!

Agenda:

6:30 pm Welcome and Drinks

7:00 pm Intro to Dataiku DSS

7:10 pm Demo Dataiku DSS and Snowflake

7:35 pm Intro to Snowflake Cloud Data Platform

7:55 pm Q&A

8:15 pm Pizza & Drinks

See you there!