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Sep 28, 2022   |  By Ganesh Subramanian
Are you efficiently unifying, modeling, analyzing, and activating all the data you need to drive impactful marketing campaigns and customer experiences? For years, marketing teams have struggled to operate from a single view of the customer and their business, essential to powering personalized experiences and measuring impact on key KPIs such as sales, growth, and profitability. Today, only half of all marketers have a unified view of the customer.
Sep 22, 2022   |  By Snowflake
The catalyst of innovation and transformation is data. The companies that recognize the power of data and wield it to drive business transformation are seeing positive impacts on their business outcomes, as indicated in our report, How to Win in the Data Economy. We surveyed 1,000 senior business and technology executives to gauge the impact the data industry is having on their businesses, and to what extent companies are embracing the opportunity to become data leaders.
Sep 20, 2022   |  By Patrick Cuba
Snowflake removes the need to perform maintenance tasks on your data platform and provides you with the freedom to choose your data model methodology for the cloud. When attempting to keep the cost of data processing low, both data volume and velocity can make things challenging.
Sep 15, 2022   |  By Snowflake
What’s harder than finding the right data architecture? Finding the right dedicated partner. Adverity gets both with Snowflake. Learn how the two organizations are moving into new markets and supplying even more reliable marketing data to Adverity customers. When a fast-growing SaaS business looks to expand its client base, it normally encounters two major challenges: In many cases, an external data solution provider can only help solve the scalability challenge.
Sep 7, 2022   |  By Kevin McGinley
In part 1 of this blog series, we looked at how Snowflake supports the GEOGRAPHY geospatial data type, which works with the earth as an ellipsoid, measuring distances over a curvature and plotting objects using the latest World Geodetic System, WGS84.
Sep 1, 2022   |  By Saurin Shah
You want to enable analytics, data science, or applications with data so you can answer questions, predict outcomes, discover relationships, or grow your business. But to do any of that, data must be stored in a manner to support these outcomes. This may be a simple decision when supporting a small, well-known use case, but it quickly becomes complicated as you scale the data volume, variety, workloads, and use cases.
Sep 1, 2022   |  By Snowflake
Software company Slack is on a mission to make work simpler, more pleasant, and more productive. Millions of users across more than 150 countries use Slack to collaborate with team members, connect other tools and services, and access information. Marketers at Slack rely on large amounts of data to build custom audiences, manage subscriber consent preferences, and measure campaign performance.
Aug 30, 2022   |  By Angus Klein
Snowflake recently announced results from the 2022 Customer Experience Survey. Hopefully, you’ve already heard about Snowflake’s overall Net Promoter Score (NPS) of 72*, a score more than three times the industry average of 21, based on the Qualtrics 2021 NPS Industry Benchmarking Report. The survey also asked customers for feedback on specific Snowflake experiences along the customer journey, from initially researching the product to implementation to getting help and support when needed.
Aug 24, 2022   |  By Christian Kleinerman
About 80% of the world’s data is unstructured. Unstructured data within documents, emails, web pages, images, comments on blogs and social media sites, and more can be extraordinarily valuable, making the ability to process this kind of data vital for organizations that want to make data-driven decisions.
Jul 27, 2022   |  By Artin Avanes
Snowflake’s Data Cloud is powered by a single engine. From day 1, we have been focusing on consistently evolving and improving this engine to allow existing workloads to run more efficiently and enable new workloads to run on Snowflake. The single engine approach translates into a single experience—from one consistent pricing model to an integrated approach combining performance, security, governance, and the foundation to seamlessly enable cross-region or cross-cloud scenarios.
Sep 15, 2022   |  By Snowflake
In this episode of “Powered by Snowflake,” host Daniel Myers sits down with RudderStack’s Head of Customer Engineering, Lewis Mbae. RudderStack helps customers ingest, transform, and integrate data into the Data Cloud. This conversation covers the value of the Data Cloud as a central source of truth, the challenges of building an enterprise-grade customer data platform, empowering data engineers, and more.
Sep 2, 2022   |  By Snowflake
Learn how leveraging Snowflake Global Data Clean Rooms, organizations can collaborate in building and deploying machine learning models in a way that is privacy-preserving and gives data owners full governance and auditability of both data and processing.
Aug 29, 2022   |  By Snowflake
At the heart of the Snowflake Data Cloud is a single elastic performance engine. Overtime, we’ve improved this engine to run more workloads, faster. With a single engine, Snowflake users get a single experience—from one consistent pricing model to an integrated approach combining performance, security, governance, and the foundation to seamlessly enable cross-region or cross-cloud scenarios. Ultimately, the result is the elimination of complexity.
Aug 25, 2022   |  By Snowflake
Welcome to the first episode of Snowflake 101! SnowSQL is a command line interface or CLI, used to interact with Snowflake directly from your terminal. In this episode, Diana Pham covers how to install, configure, and use SnowSQL.
Aug 24, 2022   |  By Snowflake
Ever wonder what languages are the most popular on Reddit, other than English? The results might just surprise you. But what's even more fascinating than who speaks what on Reddit is how Snowflake lets you quickly and easily answer this question. In this fun video, Data Cloud expert Felipe Hoffa gives you the full step-by-step breakdown.
Aug 19, 2022   |  By Snowflake
Resource Optimization is how you can save time, optimize costs, and get the most out of Snowflake. In this hands-on lab, you’ll learn the ins and outs of resource monitoring and how to best use auto suspend and other valuable tools every Snowflake admin needs to know.
Aug 17, 2022   |  By Snowflake
The London Stock Exchange Group (LSEG) is a UK-based stock exchange and financial information company, supporting high-profile customers with a wide range of services across trading, analytics, and technology. In a recent fireside chat with LSEG at Data for Breakfast London, we spoke to Andrew Carruthers, the company’s Director of Corporate Data Exchange. During the conversation, we discussed how his team built a credible proof of concept that formed the basis of the organization’s new corporate data cloud, powered by the Snowflake Data Cloud.
Aug 16, 2022   |  By Snowflake
Vivint Smart Home is a leading smart home company in North America. Vivint delivers an integrated smart home system with in-home consultation, professional installation and support delivered by its Smart Home Pros, as well as 24/7 customer care and monitoring. Hear how Vivint is able to get to the answers quickly and deliver the best experience for their customers and teams with the Snowflake Data Cloud.
Aug 15, 2022   |  By Snowflake
Get a crash course in Snowpark API featuring two Snowflake Senior Software Engineers. After a Snowpark component overview, they will demo how DataFrame operations work and how to create and schedule a data pipeline written in Python using Stored Procedures, UDFs and more which can be applied to Java and Scala.
Aug 12, 2022   |  By Snowflake
Take a deep dive into Snowpark UDFs with Elliott Brossard, one of our Principal Software Engineers. Elliott starts with the architecture overview of Java and Python functions and then he'll walk through the most useful tips for debugging and performance enhancements.
Dec 3, 2021   |  By Snowflake
There's never been a better time to be an entrepreneur looking for investment funding. Global venture capital activity grew mightily in the first half of 2021, and the trend appears to be continuing as we head into 2022. However, that doesn't mean building a new company is any easier. The same inherent resource and growth challenges exist, and venture capitalists still want to see value creation and strong indicators for future success before they invest.
Jul 10, 2020   |  By Snowflake
Many organizations struggle to share data internally across departments and externally with partners, vendors, suppliers, and customers. They use manual methods such as emailing spreadsheets or executing batch processes that require extracting, copying, moving, and reloading data. These methods are notorious for their lack of stability and security, and most importantly, for the fact that by the time data is ready for consumption, it has often become stale.
Jul 10, 2020   |  By Snowflake
Data scientists require massive amounts of data to build and train machine learning models. In the age of AI, fast and accurate access to data has become an important competitive differentiator, yet data management is commonly recognized as the most time-consuming aspect of the process. This white paper will help you identify the data requirements driving today's data science and ML initiatives and explain how you can satisfy those requirements with a cloud data platform that supports industry-leading tools.
Jul 1, 2020   |  By Snowflake
Most companies that build software have a strong DevOps culture and a mature tool chain in place to enable it. But for developers that need to embed a data platform into their applications to support data workloads, challenges emerge. DevOps for databases is much more complex than DevOps for code because database contain valuable data, while code is stateless. Instantly creating any number of isolated environments Reducing schema change frequency with variant data type
Jul 1, 2020   |  By Snowflake
DELIVER ALL YOUR DATA WORKLOADS WITH SNOWFLAKE Gartner predicts that 75% of all databases will be deployed or migrated to a cloud platform by 2022. But how does e a cloud data platform enable a long-term strategy for maximizing all of an organization's data assets? Snowflake's cloud data platform is a highly extensible, multi-region and multi-cloud platform that powers all types of data workloads. Specifically, Snowflake: To learn everything Snowflake offers today's, forward-looking organizations, download our white paper, Snowflake: One Cloud Data Platform for All Your Analytic Needs.
Jun 1, 2020   |  By Snowflake
Financial institutions are embracing cloud-based data technologies to improve their service and product offerings, streamline operations, and gain deeper customer insights. This ebook features success stories about the many ways financial services companies are leveraging Snowflake Cloud Data Platform to build a 360 degree view of customers, accelerate financial analysis with unlimited scale, and keep sensitive and regulated data secure.
Jun 1, 2020   |  By Snowflake
Companies are moving workloads to the cloud as they seek to improve speed, scale, and agility. Today's data warehouse managers want to boost analytics productivity, increase the ability to scale instantly, and ingest and support a diverse set of data without bottleneck delays. In this white paper, we explain how Snowflake delivers the speed, scale, and agility organizations need for data-driven decision-making.
May 1, 2020   |  By Snowflake
As companies have recognized the importance of unifying customer data to obtain business insights, customer data platforms that consolidate and activate known customer information have become ubiquitous. Customer data platforms enable marketers to segment and share customer profiles with marketing systems to personalize the content of email campaigns, digital ads, and other channels. In this ebook, we explore how marketers can launch and operate a customer data platform successfully, with a focus on how to.
May 1, 2020   |  By Snowflake
Read about Snowflake's comprehensive approach to protecting data and access to data.

Snowflake’s mission is to enable every organization to be data-driven. Our cloud-built data platform makes that possible by delivering instant elasticity, secure data sharing and per-second pricing, across multiple clouds. Snowflake combines the power of data warehousing, the flexibility of big data platforms and the elasticity of the cloud at a fraction of the cost of traditional solutions.

Conventional data platforms and big data solutions struggle to deliver on their fundamental purpose: to enable any user to work with any data, without limits on scale, performance or flexibility. Whether you’re a data analyst, data scientist, data engineer, or any other business or technology professional, you’ll get more from your data with Snowflake.

What Makes Snowflake Unique:

  • A Multi-Cluster Shared Data Architecture Across Any Cloud: Easily scale up and down any amount of computing power for any number of workloads or users and across any combination of clouds, while accessing the same, single copy of your data but only paying for the resources you use thanks to Snowflake’s per-second pricing.
  • Secure Data Sharing and Collaboration: Eliminate the cost and headache of static data sharing methods by easily sharing any amount of live structured and semi-structured data, without having to move data, whether it be across your enterprise, with customers and business partners, or to monetize your data.
  • One, Near-Zero Maintenance Platform Delivered as a Service: Choose any combination of infrastructure providers, enable your workloads where you want, rely on Snowflake to manage the data platform, and deploy across and between different clouds and regions to support business efficiencies and data sovereignty.

A Modern Data Platform Built For Any Cloud.