Rise of the Data Cloud is an original podcast hosted by award-winning author and journalist, Steve Hamm. In each episode, Steve will speak with a data leader to learn how they leverage the cloud to manage, share, and analyze data to drive business growth, fuel innovation and disrupt their industries.
In the first episode, Steve sits down with our very own Frank Slootman, CEO and Chairman of Snowflake. Frank speaks about some of the powerful new capabilities enabled by our cloud data platform, including the ability to share data with an ease and convenience that was not possible before.
This is really amazing stuff. Unlike anything I have seen in my 30+ year career in data. #LoveMyJob
Instead of having our annual in-person user event, Snowflake Summit, this year we are having a very exciting virtual event on June 2nd – #SayHellotoTheDataCloud. Join us live at 9 AM PDT, 11 AM CDT, 12PN EDT, 5 PM BST, 6 PM CEST for another Snowflake first!
You can be the first to hear from Snowflake CEO Frank Slootman, Snowflake co-founder Benoit Dageville, and Christian Kleinerman, Snowflake’s Senior VP of Product. They’ll detail how you can leverage the #DataCloud for all your data to acquire the deepest insights possible. You’ll also learn how Snowflake customers, data providers, and data service providers use Snowflake #CloudDataPlatform to seamlessly connect and collaborate with data.
What is #TheDataCloud?
#TheDataCloud is the next evolution for democratizing and governing access to data! It provides a central location for any organization to store all of its data inexpensively and as a single source of truth. It not only unites an organization’s data but it connects any two or more organizations that store their data in the Data Cloud. Enabling the Data Cloud is the Snowflake #CloudDataPlatform. This is the engine that drives the Data Cloud. With it, organizations can easily load their data onto the Data Cloud, and then securely integrate, analyze, share, and monetize their data.
Join Frank, Benoit, Christian, and other Snowflake leaders to:
Learn how Snowflake #CloudDataPlatform enables #TheDataCloud and how you can seamlessly store, unify, and analyze all your data.
Join the thousands of organizations that comprise #TheDataCloud to securely share and monetize your data globally, and acquire shared data and data services.
Hear how the latest innovations with Snowflake #CloudDataPlatform improve performance, governance, and analyst productivity.
Discover how to build fast and extensible pipelines for #DataScience, #DataWarehousing, #DataEngineering, and #DataApplications from a single platform.
Stay tuned because right after the presentations, you be part of the live Q&A session with Benoit and Christian. Ask how your organization will benefit from #TheDataCloud, and from the latest features available from Snowflake #CloudDataPlatform.
Reserve your spot today – sign up here and block your calendar!
#TheDataWarrior and Chief Technical Evangelist, Snowflake
For this last post in my current Data Vault (DV) series, I will discuss two more cool features of Snowflake Cloud Data Platform (@Snowflakedb) that you can take advantage of when building a DV on our platform. If you are not familiar with the DV method, please read my introductory blog post and part 1 of this series before reading this post.
Reposting this blog as it is an example of how data related to #COVID19 is being used outside of the obvious #healthcare use cases. In this case, something near and dear to us all – grocery store inventories!
We all know this is a truly unprecedented time in the world, and although sometimes we feel like we’ve been through something similar before, the reality is that we haven’t. Sure – we’ve been through natural disasters. We’ve watched smaller outbreaks from afar. We’ve all made a stock-up trip to the grocery store “just in case” our power went out, or “just in case” we were stuck in our house during a cold-stretch for a couple days, but none of those compare to what we’re seeing in our world right now. COVID-19 has drastically changed the way that the world works – both for now and for the future – and although we’ve never experienced anything like this before, we’ve also never been equipped to respond like we are today.
In this post, I discuss how to engineer your Data Vault load in Snowflake Cloud Data Platform for maximum speed.
Because Snowflake separates compute from storage and allows the definition of multiple independent compute clusters, it provides some truly unique opportunities to configure virtual warehouses to support optimal throughput of DV loads.
Along with using larger “T-shirt size” warehouses to increase throughput, using multi-cluster warehouses during data loading increases concurrency for even faster loads at scale.
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