Systems | Development | Analytics | API | Testing

Have you ever found yourself rummaging through the fridge, trying to figure out what groceries you have and what you need to buy? Okay, maybe this isn't a super serious problem, but what better way to manage this chore than by building a web API? In this guide, we'll craft a grocery management API with Go and Gin. If you're new to API lingo, CRUD might sound a bit... well, crude. However, it's a fundamental concept! CRUD stands for create, read, update, and delete.

Over the past couple of years, ThoughtSpot and Google have collaborated on a series of seamless user experiences—enabling deployments on Google Cloud Platform, creating the ability to live query entire Google BigQuery analytics catalogs, and integrating key Looker Modeling functionality just to name a few. This type of co-innovation helps mutual customers get the most value out of their data.

You must constantly innovate and expand your offerings to stay ahead of the curve. One way to do this is by adopting APIs. API adoption can help you improve customer experience, increase efficiency, and drive innovation. This guide to API adoption will discuss APIs, including how they work, what benefits API adoption offers, and how to get started. Here’s the key things to know about API adoption: Table of Contents.

A well-crafted test plan is the cornerstone of successful software development. To make sure the end result is high-quality and bug-free, it acts as a guide for your testing efforts. This guide covers all the essential steps: what's a test plan, what to look for within a test plan, how to do it, and what to avoid while building a test plan. Creating a complete Test Plan either on an online document or written paper, helps streamline the testing phase and serve as a starting point for further initiatives.

Hitachi Vantara ensures 100% data availability for operational resilience and compliance Cybersecurity and the need for data resilience are at an inflection point. Data is growing rapidly. By 2025, 180 zettabytes of data will exist globally, Statista reports. Enterprise data is everywhere – on factory floors, on streets and highways, by point-of-sale terminals, and just about anywhere and by any other connected device that you can think of.

Welcome to the latest entry in Yellowfin Japan’s ‘How to?’ blog series! In our previous blog, we went through how to create big number and vertical column charts in Yellowfin, as well as how to add a 'back-to-top button to your dashboard. We categorized the charts to be displayed on the dashboard by aggregation axis, and created charts that aggregate on the axis of Year.