Systems | Development | Analytics | API | Testing

Snowflake's Single Platform Improves Performance, Advances Mission Criticality, and Analytics While Supporting More Data Types

The world is undergoing a remarkable transformation fueled by data. Organizations have accumulated silos across their data infrastructure to support various workloads, languages, tools, and formats because of technology limitations. These silos can have major consequences in the form of greater operational burden, security vulnerabilities, increased total cost of ownership, incomplete insights, and reduced agility.

Snowpark Container Services: Securely Deploy and run Sophisticated Generative AI and full-stack apps in Snowflake

Containers have emerged as the modern approach to package code in any language to ensure portability and consistency across environments, especially for sophisticated AI/ML models and full-stack data-intensive apps. These types of modern data products frequently deal with massive amounts of proprietary data.

4 Financial Dashboard Examples for 2023

Financial dashboards bring performance into focus by collecting the most important metrics and indicators in one location. But when organizations build their financial dashboards from the ground up, challenges often arise. A primary hurdle is making the right design choices to create dashboards that drive successful business decisions. To overcome this hurdle, it helps to incorporate ideas that have already been implemented, evaluated, and improved on by others.

Snowflake Native App Framework Now Available to Developers in AWS

At Snowflake Summit 2022, we introduced a new way of building apps with the Snowflake Native App Framework. Today, we are excited to bring the power of the Snowflake Native App Framework to developers around the world with the public preview in AWS. Developers can now start building and testing Snowflake Native Apps in their accounts in AWS. Distribution and monetization capabilities will be available in public preview on AWS later this year.

Analyzing Population Percentages Using Yellowfin Box and Whisker Charts

In this blog, the team at Yellowfin Japan demonstrates how to take advantage of Yellowfin's data visualization capability in the form of Box and Whisker charts, using the example of analyzing the percentage of foreign population prefectures. So, what is a Box and Whisker Chart, and what does it look like in Yellowfin? Blog Contents hide Box and Whisker Chart Overview and Analysis Examples What is a Box and Whisker Chart?

Movers and Makers | Financial Services

Many financial services institutions have hesitated to move their operations to the cloud, and understandably so. It's an industry with big stakes, big data, and even bigger regulatory considerations. Cloudera has helped several financial service organizations across the globe with a hybrid approach to their data that gives them the flexibility of a cloud-based datalake house, with the security of in-house data storage.

ThoughtSpot acquires Mode: Empowering data teams to bring Generative AI to BI

At ThoughtSpot, we know how important it is for businesses of every size and industry to empower every knowledge worker with personalized, actionable data-driven insights. These insights are your secret sauce to making better business decisions, growing faster, and delivering customer experiences that keep people coming back for more. But how do you scale self-service analytics to business users without completely overwhelming your data teams?