Systems | Development | Analytics | API | Testing

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.

Over time, using the wrong tool for the job can wreak havoc on environmental health. Here are some tips and tricks of the trade to prevent well-intended yet inappropriate data engineering and data science activities from cluttering or crashing the cluster.