Snowflake Workloads Explained: Data Warehouse
Get fast, reliable, secure, and cost-effective access to all your data. Snowflake’s data warehouse delivers what today’s organizations and their customers and business partners demand.
Analytics
Analytics Experience Explained
One of the really big trends that we're seeing in the analytics space, is the move towards talking about the analytics experience. Analytics experience is about supporting or triggering decisions and transactions. This is a shift from what I would describe as the passive use of analytics, where people were expected to use dashboards and reports that didn't add a lot of value to their transactions or decision making. The difference sounds subtle, but it's really quite profound.
Snowflake Workloads Explained: Data Science
Snowflake’s platform is built to seamlessly integrate and support the machine learning libraries and tools data scientists rely on. Our near-unlimited data storage and instant and near-infinite compute resources can rapidly scale to meet the demands of analysts and data scientists.
Snowflake Workloads Explained: Data Lake
Snowflake provides the most flexible solution to enable or enhance your data lake strategy, with a cloud-built architecture that meets your unique needs. Mix and match components of data lake design patterns and unleash the full potential of your data.
Snowflake Workloads Explained: Data Sharing
Snowflake’s platform enables organizations to securely share data across their business ecosystem. Deliver seamless data collaboration while reducing costs and revealing new business insights.
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.
10 Best Practices Every Snowflake Admin Can Do to Optimize Resources
As we covered in part 1 of this blog series, Snowflake’s platform is architecturally different from almost every traditional database system and cloud data warehouse. Snowflake has completely separate compute and storage, and both tiers of the platform are near instantly elastic. The need to do advanced resource planning, agonize over workload schedules, and prevent new workloads on the system due to the fear of disk and CPU limitations just go away with Snowflake.
Adapting to Work-From-Home Behaviors | Part 2 | Snowflake Inc.
Andrew Fong, VP of Engineering at Dropbox, deep dives into Dropbox’s cloud infrastructure & the steps they've taken to ensure that customers have the tools and the technology to work from home. Rise of the Data Cloud is brought to you by Snowflake.
Introduction to the Snowflake Data Cloud
This short video provides an overview of the Snowflake Data Cloud - a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance.
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