Become a data-driven organization at AWS SUMMIT singapore with Snowflake
Stop By Our Booth G2
Visit the Data Warehouse Built for the Cloud at
AWS summit singapore
Snowflake is proud to be Gold Sponsor
Stop By Our Booth G2
Learn how Snowflake’s data warehouse built for the cloud enables you to easily load and integrate structured and semi-structured data, deploy rapid analytics and quickly make data insights available to all of your users and systems.
Join Our Presentation
Track: Insights & Analytics
Session: Snowflake: Your Data. No Limits
Presenter: Kelly Hotta, Sales Engineer, Snowflake
Date/Time: Thursday, 11th April, 2:40 PM – 3:10 PM
Struggling to keep up with an ever-increasing demand for data at your organisation? Do you spend hours tinkering with your streaming data pipelines? Does that one data scientist with direct EDW access keep you up at night?
Introducing Snowflake, a brand new SQL data warehouse built for the cloud. We’ve designed and implemented a unique cloud-based architecture that addresses the most common shortcomings of existing data solutions. With Snowflake, you can unlock unlimited concurrency, enable instant scalability, and take advantage of built-in tuning and optimisation. Join us and find out what Netflix, Adobe, and Nike all have in common.
Take A Photo
Relive The Moment
Print out your memories of AWS Summit with the only photo booth at the event! You’ll even have an animated version sent straight to your inbox.
Photo booth is located right beside Snowflake.
Don’t Miss Our Live Demos
Visit our booth for a live demo and stand a chance to win a Bose headphone!
Wednesday: 10:30am, 2:00pm
Thursday: 11:00am, 1:30pm, 4:00pm
You Have Data? Ask Us Questions…
Come to the Snowflake booth and ask us: “How can I save money on my data warehousing?”
Stand a chance to win a Bose headphone, and walk away with a Snowflake merchandise!
Schedule a meeting at the AWS Summit – Sydney and we’ll show you how Snowflake delivers the performance, simplicity, concurrency, and affordability not possible with other data warehouse platforms.
Thank you, we will reach out shortly to schedule a meeting with you.