Snowflake Blog

Snowflake Blog

Numerous organizations rely on Snowflake's Data Cloud to bring together separated data, explore and safely share information, and carry out various analytical tasks across different cloud platforms.

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English
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68
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Global

#10823

United States

#4070

Computers Electronics and Technology/Programming and Developer Software

#114

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Articles

  • 2 months ago | snowflake.com | Amy Yuan

    People often ask me, “Why did you join Snowflake, and why did you choose to work on developer productivity?” I joined Snowflake to learn from world-class engineers and be part of the highly collaborative culture. These have been the secret sauce to Snowflake’s rocket-ship growth. Snowflake was embarking on a remarkable transformation of developer productivity, and I had to jump on the rocket ship as it was taking off! Let’s start from the beginning.

  • Dec 11, 2024 | snowflake.com | Jennifer Belissent

    We often hear from customers that they’re excited about what they could do with data and AI but are not sure how to do it. Or that the tech teams are “all in” but they can’t convince the powers that be to move forward. It’s not that they don’t know what to do — they could list a number of initiatives or use cases that would benefit from insights from their data or to which they could apply AI. But many organizations seem to suffer from institutional paralysis.

  • Dec 9, 2024 | snowflake.com | Rudi Leibbrandt

    At Snowflake, we're committed to delivering consistent, automatic performance enhancements. We work behind the scenes to make your data operations faster, more efficient and more cost effective — without any user intervention, manual configuration or scheduled downtime. Every week, we seamlessly deploy updates in the background, ensuring your workloads are always running on the latest and fastest version of Snowflake with zero disruption to your service.

  • Nov 18, 2024 | snowflake.com | Yogesh Gupta

    On a day-to-day basis, Snowflake teams identify opportunities and help customers implement recommended best practices that ease the migration process from on-premises to the cloud. They also monitor potential challenges and advise on proven patterns to help ensure a successful data migration. This article highlights nine key areas to watch out for and plan around in order to accelerate a smooth transition to the cloud.

  • Nov 11, 2024 | snowflake.com

    Snowflake gives developers the power to bring custom AI into production, making it easier than ever to create high-quality, trustworthy AI and ML applications.

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