Choosing whether to go with PostgreSQL or MySQL depends on your needs as they are both great databases to use under different circumstances. In this article we will run through a few of the top reasons and use cases to help you choose between these choices for database creation. Note: As a matter of fact, MySQL is so popular it became part of the LAMP stack (Linux, Apache, MySQL, PHP) used for building many web servers.
The realm of computing is endlessly vast, and programmers can utilize numerous programming languages that facilitate logging. Novice programmers often wonder, why is Python considered the ideal language to learn logging?
Continuous Integration (CI), Continuous Delivery (CD) and Continuous Deployment (CD) are three processes that automate integrating software development into a product and deploying the modified product to test and production environments.
We’re happy to announce that we’ve successfully completed PCI (Payment Card Industry Data Security Standard) Service Provider Certification. This means that at Logit.io we are committed to the security of storing, processing and transmitting credit card transactions.
In our industry, we often like to use the analogy of building a house when we describe how we build software. In our house-building analogy, this would be the blueprint of the house or the process that we are going to follow to construct a home or software. The analogy continues to be relevant because of all the interdependencies that are at work in terms of understanding the blueprint and translating it into work.
We’re pleased to announce that we’ve recently launched our improved audit log feature and have rolled this out to users across all of Logit.io’s operating regions. The audit log is visible on both account and individual Stack level.
When choosing between these two popular web API (application programming interface) formats it can be surprisingly difficult to know which one you should select for your infrastructure. Although both Rest (Representational State Transfer) and SOAP(Simple Object Access Protocol) share attributes in common with how they handle HTTP protocols, there are a number of key differences as discussed in this article.
This short guide for conducting successful big data analysis will take you through a couple of the most essential tips to help you learn how to analyse data & become a better data analyst by avoiding rookie mistakes and embracing the correct mindset to get the most from your data. We’ll also cover some of ways that conducting effective data analysis can help your organisation.
In this article, we’ll cover the key differences between APIs and microservices as answered by our contributors consisting of senior decision-makers and CTOs from technology companies around the world. One of the most popular ways to consume data from a web service is through a web application programming interface (API). By interface, we are referring to an agreement, or schema, that anyone using this API must abide by.
Data analysis is incredibly useful for all kinds of businesses and also has academic and hobbyist applications. Nonetheless, it’s still possible to fall into numerous traps when trying to accurately interpret your data. That’s why we’re giving you a list of the top 8 common data analysis mistakes to avoid at all costs. Our first expert Jitin Narang, CMO at TechAHead contributed the following five top data mistakes to avoid:
