On behalf of the Vio.com and the Benelux User Group steering committee, we are delighted to invite you to the Vio.com office on Thursday, March 30th, for our next Snowflake Usergroup meeting.
Launched in 2010 as FindHotel and recently rebranded to Vio.com, the company has scaled profitability within the online travel (marketplace) industry, offering price comparison and direct booking options. Join us and find out how Vio.com is able to leverage its data to fulfil its mission to get every traveler the best accommodation deal, worldwide.
Session 1: Creating Vio.com’s self-serve data platform in Snowflake and AWS
In this session we will explain how we solved our analytics scalability challenge, more than doubled the number of data products, and enabled business teams to focus on delivering value by leveraging Snowflake features to abstract the complexities of the data infrastructure into the data platform, allowing the adoption of the Data Mesh paradigm by promoting a distributed ownership of data products.
Session 2: Monitoring Machine Learning models using Snowpark
With data science growing more than ever at Vio.com, the number of products relying on ML models has increased dramatically, making it impossible for machine learning engineers to monitor them in an ad-hoc fashion. Learn how we leveraged Python Snowpark and tasks to create a framework to monitor ML models that can be easily used and extended by data scientists.
17:00 | Registration and welcome drink
17:30 | Creating Vio.com’s self-serve data platform in Snowflake and AWS
18:15 | Break & Food
19:00 | Monitoring Machine Learning models using Snowpark
19:45 | Networking & Drinks
20:30 | End of program
Vio.com
Engineering Manager
Vio.com
Data Engineer
Vio.com
Analytics Engineer
Fernando is an Engineering Manager/Data Engineer at Vio.com. Throughout his 20+ years in the software industry, he has worked in backend engineering and other roles but found his passion in data engineering. Lately, he has been focused on the transition of Vio.com's legacy data architecture to a Data Mesh.
Arseny is Data Engineer at Vio.com. He started as a Machine Learning engineer and then moved into Data Engineering. He has experience working with the Hadoop stack and developing tools on top of it. Now he focuses on Snowflake features to improve data processes.
Cristian works as an Analytics Engineer for Vio.com. His career path has been always data-centered and he’s passionate about data modeling and the improvement of data management to serve business needs promptly.
Working side by side with Data Engineers for implementing the Data Mesh concept has proved to be a good challenge for him and a way to provide value at Vio.com.
