From Raw Data To Business Impact

We're back with another meetup, this time with our partner Snowflake! Join us to learn more about how Dataiku and Snowflake integrate.

Setting up a machine learning environment, in particular, for on-premise infrastructure, has its challenges. An infrastructure team must request physical and/or virtual machines and then build and integrate those resources. This approach is both time-consuming and error-prone due to the number of manual steps involved. It may work in a small environment, but the task becomes exponentially more complicated and impractical at scale.

Managing this whole process 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 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:

• SINGLE SOURCE OF TRUTH
• SHORTEN THE DATA PREPARATION CYCLE
• SCALE AS YOU GO

Harald Erb, Sales Engineer at Snowflake
Marcel Boldt, Solutions Architect at Dataiku

As always we will finish the evening with some networking, food, & drinks!