Coming off of our Snowday event, we’ve unveiled a number of new product capabilities that expand what is possible in the Data Cloud. From helping businesses operate globally with improved replication efficiency, empowering developers with new functionality in Snowpark, and improving the security and governance of data through native object tagging, there is no shortage of exciting advancements coming to Snowflake.
Snowpark has generated significant excitement and interest since it was announced. Snowpark is a developer framework that enables data engineers, data scientists, and data developers to code in their language of choice, and execute pipelines, machine learning (ML) workflows, and data applications faster and more securely. While many parts of Snowpark are in preview stages, External Functions entered General Availability earlier this year.
Machine learning (ML) models have become key drivers in helping organizations reveal patterns and make predictions that drive value across the business. While extremely valuable, building and deploying these models remains in the hands of only a small subset of expert data scientists and engineers with deep programming and ML framework expertise.
At Snowflake, putting the customer first is an essential company value. But “customer-centric” is more than just a buzzword: We use a data-driven, outside-in lens on everything we do, at all levels of the company. In particular, here’s how Snowflake Support is listening to you—our customers—and continuously improving the Snowflake customer experience at every touchpoint.
At Singular, we have a pipeline that ingests data about ad views, ad clicks, and app installs from millions of mobile devices worldwide. This huge mass of data is aggregated on an hourly and daily basis. We enrich it with various marketing metrics and offer it to our customers to analyze their campaigns’ performance and see their ROI. The upshot is that we receive tens of thousands of events per second and handle dozens of terabytes of data every day, managing a data set of several petabytes.
Gift guides come in all shapes and sizes. There are shopper’s guides for sporting goods and wine, aimed at travelers and crafty types, and offering electronics or candy. Since there is no gift guide we’re aware of for data buyers, this is our chance to create the first such guide. Is your wife, best friend, or dad a nerd? No, not that kind of nerd, not an over-the-counter nerd, a data nerd! If so, this stuff will stuff their stocking but good. Remember Sears’ Wish Book?
Snowflake is the data backbone for thousands of businesses, enabling data access and governance needed to deliver value. Interactive use cases in some data applications and embedded analytics, however, pose a particular challenge. Traditionally, you needed an additional caching layer to provide the required speed and throughput these solutions require—which also increased costs and architectural complexity.
At Snowday 2021, Snowflake announced exciting new product capabilities that expand what is possible in the Data Cloud. In addition to announcing Python support in Snowpark (currently in private preview), these latest innovations make it easier for organizations to maintain business continuity across clouds and regions; help data engineers and data scientists build pipelines, ML workflows, and data applications faster; and remove the complexity of getting the right data into the hands of customers.
When we founded Snowflake, we set out to build an innovative platform. We had the opportunity to take into account what had worked well and what hadn’t in prior architectures and implementations. We saw how we could leverage the cloud to rethink the limits of what was possible.
At Snowflake, we are on a mission to help customers unleash their data. Our view on the ecosystem is that Snowflake provides the cross-cloud data infrastructure and technology that our partners can stand upon to deliver advanced solutions that empower business users.
