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How a Cloud Data Platform Can Supercharge Your Analytics

June 11, 2020

Prerequisite: None

Clarke Patterson

Product Marketing

Snowflake

Organizations want to harness all their data to perform data-driven analytics. The data platforms of yesterday stand in the way. These platforms, especially if on premises, typically suffer from multiple silos of data, limited speed and scalability, and excessive cost and complexity. The result is limited users run limited analytics on incomplete data.

Attend this session to learn how to take advantage of the cloud for a next-generation, highly performant, low-maintenance, cloud data platform that lets you consolidate all your data in one place. The data can then be used for data warehouse, data lake, data science, data pipelines, and data sharing workloads. The storage and compute resources of the cloud are leveraged for near-unlimited scale and concurrency, and there is no workload contention. Ultimately your organization can fully leverage all of its data to be data driven. All users can perform all analytics on all the data at any time.
Snowflake

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