According to Forbes, data scientists spend up to 80% of their time finding, retrieving, consolidating, cleaning, and preparing data for analysis and training.
With Snowflake, you can access structured and semi-structured data from one consistent source, making it easy to find, consolidate, clean and use more of your organization’s data assets. Snowflake’s Cloud Data Platform includes tools to manage data ingestion and automated transformation workloads within the system, supporting data preparation for data science and analytics applications. Output from data science can then be seamlessly incorporated back into Snowflake for access by business users to generate business value.
Join us on April 29th for a live webinar! You’ll hear from Snowflake experts on the dynamic requirements of today’s data science initiatives and how to use industry leading tools with Snowflake’s Cloud Data Platform to satisfy them.
1:00 PM – 1:15 PM – Your Cloud Data Platform, Brad McNeely
1:15 PM – 1:30 PM – Data Workload Management on Snowflake, Kristen Werner
1:30 PM – 1:45 PM – Data Science at Scale, Chris Pouliot
1:45 PM – 2:00 PM – Live Demo, Brad McNeely
2:00 PM – 2:30 PM – Q&A
Watch On Demand
Kristen Werner is the Director of Data Science and Engineering at Snowflake – Her background is in Neuroscience & Behavior, with application in biomedical research at Columbia and Princeton Universities, where she was a researcher and lecturer. Bringing a technical background into industry, Kristen worked on Data Science and systems design for handling GDPR at Facebook and Instagram, and supported the privacy-aware integration of WhatsApp data into the Facebook ecosystem. She founded the data team at the Chan-Zuckerberg Initiative, building the data stack on Snowflake in 2016. And her team migrated a second data stack to Snowflake in 2018, leading Data Engineering at Opendoor, before officially joining the Snowflake team.
Chris Pouliot is the VP of Data Science and Analytics at Snowflake – His experience includes spinning astronauts until they were motion sick, splitting atoms to make an aircraft carrier go fast, providing insightful analysis that led to Google to change their top ad color, helping Netflix determine what movies and TV shows to buy, and how much they should pay, developing the algorithms at Lyft to help balance supply and demand via dynamic pricing, and leading a team that is developing algorithms for L4 autonomous driving at NIO.