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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.

Bridging the Gap Between Technology and Business | Part 1 | Snowflake Inc.

In this episode, Florian Douetteau, CEO of Dataiku, answers the question "What is Deep Learning?", explains how his company evolved from machine learning to deep learning methodology, & provides examples of how Dataiku creates uses it to create predictive models. Rise of the Data Cloud is brought to you by Snowflake.