Sometimes MySQL (or MariaDB) can be great for big data too! In this article, we will explore the things you should consider when answering the question: “Is MySQL a good option for my big data project?”
In this article, we will demonstrate how any data-focused team or individual can use Arctype as an SQL tool to filter, source, and intuitively visualize data, thereby providing greater insight into the proposed data. The best part? We’ll do it using a real Covid-19 dataset.
Using data from Public Comps inside Arctype we dissect the revenue, founder ownership, and payback periods of PLG companies versus average SaaS businesses.
Django's versatility makes it the ideal framework for developers endeavoring to collect website analytics, which can then be visualized and analyzed using Arctype's dashboard functionality—truly a perfect synergy.
To explore SQLite3 along with Python, which is a user-friendly and no-nonsense language, we are going to build a simple tic-tac-toe game. So buckle up and get your machines ready!
This guide will share my experience creating technical documentation using GitBook and act as a de-facto quick-start guide to GitBook.
Postgres offers set operators that make it easy to query and filter the results of searches from your database. Set operators are used to join the results of two or more SELECT statements.
Being able to view products and pages liked by other users is not only an interesting exercise, but also a nearly-ubiquitous marketing tool—and, it can be easily implemented with MySQL using Arctype.
Low-Code/No-Code tools have been on the rise in recent years. However, a significant number of organizations have become trapped by them. What causes this and what can we do to avoid it?
