Become a data-driven organization at AWS SUMMIT SYDNEY with Snowflake
Stop By Our Booth
APRIL 30 – MAY 2
Visit the Data Warehouse Built for the Cloud at
AWS summit SYDNEY
Snowflake is proud to be a Platinum Sponsor
Stop By Our Booth
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
Session: Snowflake: Your Data. No Limits
Presenter: James Harnischmacher, Sales Engineer
Date/Time: Thursday, May 2, 11:15 AM – 12:00 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.
Get Future Ready with Snowflake, Talend & Databricks
Join Snowflake, Talend and Databricks to celebrate the future of data, with delicious snacks and even better beverages.
Tuesday, April 30 | 3:30 PM to 6:30 PM
Sofitel Darling Harbour
Don’t Miss Our Live Demos
Visit our booth for a live demo.
10:45am and 1:30pm daily
Prizes up for grabs!
You have data? We have questions…
Come to the Snowflake booth and ask us: “How can I save money on my data warehousing?”
Answer this question for a free prize from the Snowflake data machine!
Wireless speakers, JBHi Fi vouchers and Snowflake merchandise all up for grabs!
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.