Systems | Development | Analytics | API | Testing

Snowflake Workloads Explained: Data Engineering

Snowflake streamlines data engineering, while delivering performance and reliability. Learn how with Snowflake, data engineers can spend little to no time managing infrastructure, avoiding such tasks as capacity planning and concurrency handling. Instead, they can focus on more value-add activities towards delivering your data.

Snowflake Workloads Explained: Data Applications

Snowflake’s platform powers applications with virtually unlimited performance, concurrency, and scale. Launch new features faster with simplified data pipelines and improved engineering efficiency. Delivered as a service, Snowflake handles the infrastructure complexity, so you can focus on innovating with the data applications you build.

The Downfall of DOM and the Rise of UI Testing

In this session, CEO Fred and Engineer AJ review the pitfalls of DOM-based testing. At Rainforest, we believe the standard tools of the QA industry have fallen short of providing developers intuitive and easy-to-use tools that test their applications in a realistic way. In order to deliver a product that can bridge the gap between testing and reality, we’ve built our own virtual machine infrastructure that allows our automation to be run on any browser or operating system.

Taylor Brown and George Fraser, Co-Founders of Fivetran, keynote the Modern Data Stack Conference

Throughout time data has improved the way we approach problems, find new discoveries, and make decisions. The technology that powers the creation and analysis of data hasn't always been reliable or simple to use, leaving some organizations ahead of others. This is disparity between the haves and have nots of data is changing due to the modern data stack. In this session, Taylor will give us a warm welcome and George will explain the impact of the modern data stack for analytic teams and how it is becoming as simple and reliable as electricity.