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Analyzing Unstructured Data With Snowflake Explained In 90 Seconds

What if there was a way to easily manage, process, and analyze any data type in a single platform? Snowflake is here to help. Simplify your architecture with a single platform for all data types and workloads, unlocking new use cases for your data. With Snowpark, your data scientists and engineers can securely build scalable, optimized pipelines, and quickly and efficiently execute machine learning workflows while working in Python, Java, or Scala.

Unstructured Data Now Generally Available in Snowflake, Processing with Snowpark in Public Preview

We’re excited to announce the general availability of the unstructured data management functionality in Snowflake. We launched public preview of this functionality in September 2021, and since then we have seen adoption by customers across industries for a variety of use cases. These use cases include storing and securing call center recordings, securely sharing PDF documents in Snowflake Data Marketplace, storing medical images and extracting data from them, and many more.

SQL Puzzle Optimization: The UDTF Approach For A Decay Function

How do you implement a decay function in SQL? You can use window functions, which scale better than joins, or better yet, you can try what Felipe Hoffa did: use tabular UDFs. In this video, Felipe shows you how you can use a tabular UDF to write custom code that can analyze a table row by row while preserving state. Felipe wrote a table UDF in JavaScript that uses a low amount of memory to keep track of the decaying values. He was able to run it in 36 seconds, instead of the 46 seconds that the SQL with windows solution took; and then he optimized the JavaScript even further and ran it in just 9 seconds.

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.