You’ve implemented a new cloud data platform using Snowflake. You’re eager to gain the benefits of cloud computing and work in a more agile, scalable way.

But you fear you’ll fall into old habits and simply use Snowflake as a storage depot for various data sets, rather than an agent to transform the way you build data pipelines, process data, and support self-service analytics. DataOps is the key to unlocking the full power of Snowflake and other cloud data platforms. 

DataOps tools and principles can help your team fulfill the promise of delivering data solutions “faster, better, cheaper.” But how do you do that?

This session will explain key principles of DataOps and examine DataOps.live. It will also answer the question, “How do we get started with DataOps around Snowflake?

This webinar discusses :

• Challenges of modern data pipelines and benefits of DataOps

• The DataOps framework

• Collaboration, orchestration and testing features in DataOps.live

• How to process IoT data in DataOps.live with Snowflake's zero-copy clone feature 

• DataOps Snowflake lifecycle management with two approaches—imperative and declarative

Sponsor: DataOps.live

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