In the latest episode of the Rise of the Data Cloud podcast, host Steve Hamm and Snowflake’s Co-Founder and President of Products Benoit Dageville discuss all things Data Cloud. Topics include the modern data stack, data application development, the importance of a single collaboration hub, and the data needs of different industries.
Snowflake’s vision, says Dageville, is to create a global data network or “world wide web of data” that enables organizations to access and share internal and external data of all types—structured as well as unstructured. This is made possible by the modern data stack. Dageville says there are a number of important features of a modern data stack: It should be cloud-based and scalable with unlimited access to compute and storage resources. It should allow easy data sharing, no matter where organizations are in the world. It should be self-managed with a high level of security and governance. A critical aspect of the modern data stack is that it should be “open and collaborative,” with a vibrant ecosystem of partners that develop tools to leverage the data. It should be usable across different cloud providers. Finally, it should support application development in multiple coding languages.
In the podcast, Dageville discusses how Snowflake is evolving into a powerful application development environment. Snowflake’s platform is enabling developers to create innovative data applications without the need to do administrative maintenance. The Powered By Snowflake program supports companies that are developing data applications on Snowflake. With the Snowpark library, developers can build applications that process data in Snowflake without moving data to the system where the application code runs. In the future, Dageville says he’d like to see companies be able to run 100% of any application in the Data Cloud.
Dageville also emphasizes the importance of Snowflake as a single data collaboration hub that empowers users to have seamless access to data. A single platform that can run entwined workloads reduces the complexity of learning and connecting different systems. It reduces the inefficiency of moving data from one tool to another. It also mitigates the security risks that come from copying and moving data between systems.
Hamm and Dageville also discuss how Snowflake is focusing on the needs of particular industries as it develops tools as well as data sets in Snowflake Data Marketplace. “If you think about the different verticals, like financial services, media, healthcare and life sciences, or retail, they each have very different ways of using data and different needs in terms of the data sets that they need to use,” says Dageville. Snowflake is working on building industry-specific software and data sets that solve data challenges and provide value to companies in each vertical.
As for the future, Dageville says Snowflake is continually reinventing itself to meet the newest demands of customers, and he’s excited to see where the company goes next. To hear more, including how Dageville believes the Data Cloud will evolve in the next few years, listen to the full interview.
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