Systems | Development | Analytics | API | Testing

March 2022

Drive Retail Profitability, Stability with Snowflake's Retail Data Cloud

In 2022, retailers are still dealing with the lasting impacts of the global pandemic, including a decreased workforce, supply chain disruptions, and surging inflation. At the same time, now is the chance for a “long overdue great retail reset” that could promote stability and profitability, according to a recent Deloitte report.

Sales Compensation in a Consumption Pricing World

Today’s organizations want stronger alignment between the cost of SaaS solutions and the value derived from these products. As a result, many software companies are looking at adopting consumption-based pricing models as an alternative to subscription models. With consumption-based models, customers only pay for what they use, and usage is tied directly to the value customers derive. Of course, consumption means software companies don’t experience revenue until customers use the solution.

Building Production-Ready Machine Learning Features on Snowflake with Tecton's Feature Store

We are excited to announce the integration of Tecton’s enterprise feature store and Feast, the popular open source feature store, with Snowflake. The integration, available in preview to all Snowflake customers on AWS, will enable data teams to securely and reliably store, process, and manage the complete lifecycle of machine learning (ML) features for production in Snowflake. Tecton allows data teams to define features as code using Python and SQL.

How Observe Built An Observability Platform On Snowflake.

The Observability Platform from Observe is a tool that helps engineers and DevOps teams quickly analyze the performance of and troubleshoot problems with an organization’s distributed applications. Its power comes from its ability to ingest any kind of telemetry and machine data–trace data, log data, metric data, billing data, and so on–into a single source using Snowflake, and then map the relationships between data sets. These relationships can be displayed graphically as an interactive visualization, making it easy for end users to trace connections between datasets in order to diagnose the cause of error notifications or gain insight into an application's performance.

4 Innovation-Boosting Features of Snowflake's New Healthcare & Life Sciences Data Cloud

A new study from McKinsey warns that profit pools in the healthcare industry are likely to be flat due to the ongoing effects of the COVID-19 pandemic. To combat this stagnancy, the study identifies a number of opportunities for innovation in the industry.

Using Snowflake to Analyze Unstructured Data

Unstructured data stores a tremendous amount of information, but it is not easy to search, analyze, or query, especially on the fly— presenting more challenges to data architectures that are already complex. In this session, you will learn about Snowflake’s new support for unstructured data and how unstructured data can be used to analyze proprietary replay files for the Dota 2 video game. Dota 2 has a substantial esports presence and its developer hosts the world's largest endowed esports tournament.

Import Google Analytics 4 Data into Snowflake and Translate into SQL

Did you know that Google Analytics 4 now exports event data at the individual user level for free? In this episode of SnowFlake Bytes, Felipe Hoffa, Snowflake’s Data Cloud Advocate, shows you how to move this GA4 data into Snowflake and translate the sample queries into Snowflake SQL. His favorite part of the process? Creating a UDF that transforms the original schema nested data into a variant object that is easier to query.

Healthcare & Life Sciences Data Cloud

Healthcare and life sciences organizations are under unprecedented pressure to adapt and respond to changing patient needs and market conditions. The Healthcare & Life Sciences Data Cloud enables healthcare and life sciences organizations to leverage the full potential of data to help deliver exceptional patient outcomes and accelerate medical innovation, while also enabling the highest levels of data security, governance, and compliance.

New Snowflake Features Released in February 2022

February brought a number of exciting enhancements, especially for customers building and running data pipelines in Snowflake, including support for Snowpark stored procedures and flexible task execution. Additionally, customers get improved impact analysis through support for object dependencies, and we continue to expand Snowflake’s global reach with the regional availability of UAE North (Dubai) on Azure. Read on for more!

How Flywheel Software Is Helping Organizations Activate Customer Data On Snowflake

Flywheel Software provides enterprise sales and marketing teams with a fast, easy way to build customer segments using first-party data stored in Snowflake. Once built, those lists can be easily exported to a wide range of marketing tools, including Facebook Ads, Google Ads, Salesforce, MailChimp and more. Join Snowflake's Daniel Myers and Flywheel Software's Tameem Iftikhar & Christopher Sell for a lively discussion and demo showing how Snowflake and Flywheel Software work together to deliver this powerful and invaluable service.

NN Investment Partners' Papyrus Team Delivers End-to-End Data Visualization with Snowflake's Data Cloud

Marcel Naumann, Senior Engineer Investment at NN Investment Partners, sees a future where fluid, easily accessible data and insights help portfolio managers achieve returns while investing in a responsible manner. We spoke with Naumann to learn how he’s making this future a reality with the Snowflake Data Cloud. NN Investment Partners (NN IP) manages assets for investors across 37 nations.

Building Iterable's Data Mesh Using Snowflake: Three Components of an Innovative Data Management Strategy

Big data has been revolutionizing the digital marketing landscape: organizations are gathering data from numerous sources; data streams are being collected at unparalleled speeds; and businesses are dealing with a variety of data structures, from emails to user behaviors to financial transactions.

Snowflake Announces Intent To Acquire Streamlit

Hear from Snowflake co-founder and President of Products Benoit Dageville and AdrienTreuille co-founder and CEO of Streamlit as they discuss what this strategic acquisition means to developers and data scientists. The two companies will join forces to unlock the unrealized potential of data by making it easier to build beautiful applications using tools they love with simplified data access and governance.

Democratizing Data Apps - Snowflake to Acquire Streamlit

Over the past few years, we’ve seen incredible growth in the number of data apps being built on Snowflake, including large customer-facing apps from companies such as BlackRock, Instacart, Lacework, and others. We’re proud of the fact that our platform helps developers bring these applications to life faster, scale better, and provide more powerful insights to their users, whether they be employees, partners, or customers.