Systems | Development | Analytics | API | Testing

Paloma Oliveira discusses the revamp of Elemental Selenium and why you should care.

When to stop testing? This question gets asked more often than not. However, as simple and straightforward it sounds, the answer to this question spans multiple aspects and variables which should be considered when we really want to stop. We just wish the answer could be “When all defects are found!”. Like humans, the software is also mere mortal and never bug-free. This blog aims to discuss multiple factors which should be pondered before we make a decision to stop testing.

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.

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.

Available in beta, we have introduced new version control REST APIs for Git integration in the 9.3.0.cl release of ThoughtSpot Analytics Cloud. ThoughtSpot administrators can now link their instances to a GitHub repository and utilize continuous integration and deployment (CI/CD) best practices to effectively manage their organization's analytic content throughout its lifecycle.

Learn how to create apps that can display information in different languages based on user preferences. In this article, we'll walk through the process of building a weather application with multi-language support using react-i18next.

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?

You may already be familiar with dbt, but just to be sure we're on the same page, let's revisit the concepts. The Data Build Tool (dbt) is a widely used framework provided by dbt Labs, specifically designed to bridge the gap between data analysts, data engineers, and software engineers, resulting in the creation of a new role in data and analytics: the analytics engineer.

Welcome to the world of vector databases, where data storage and retrieval take on a whole new dimension! Let's start with the basics. In a vector database, data points are represented as multi-dimensional vectors, where each dimension captures a specific feature or attribute of the data. These vectors encode the essence of the data, allowing for efficient analysis, comparison, and retrieval.

Bugs can occur in any digital system, from software to mobile apps and websites, and sometimes these bugs can cause tremendous chaos and negative impact on the bottom line. The more traffic a website receives, the greater an impact a bug can cause.