When you set out to build your first API, it can very well be that you are either overwhelmed or forget essential points. The ecosystem for API tools is vast, and it’s vital to get the right tool for every phase of your project. In this article, we will go through the different phases an API project usually has. For every phase, I will list the significant points and tools that help there.
Velocity, much like the pulse rate or oxygen level of an individual, is an important measure of health for your development team. A low velocity score for recent sprints limits your team's options for delivering value. Sustained failure to deliver to stakeholders can erode trust with those stakeholders quickly. But how do you know exactly what your velocity is and how you can improve it?
It’s time to get back to my favorite topic in visualization – how to best use color. I’ve written about it before in two of my previous posts, which you can read by clicking here and here. But, for this post, I’m going to go into a bit more detail on some tips and tricks that you can use.
Trigo is a provider of AI & computer vision based checkout-free systems for the retail market, enabling frictionless checkout and a range of other in-store operational and marketing solutions such as predictive inventory management, security and fraud prevention, pricing optimization and event-driven marketing.
Back in the old days, marketing was ridden with a lot of guesswork. Sometimes, unexpected campaigns brought new leads and converted prospects into customers. Other times, the best-designed campaigns flopped, the market remained unmoved and all you could hear after the launch of a campaign was silence. Data-driven marketing rose from the pains of this insecurity and took on the overwhelming growth of data for its support.
Errors are undesirable for users and you should do everything in your control to keep users away from them. However, they are of utmost importance for developers. They allow developers to understand the inaccuracies and vulnerabilities in their code by alerting them when their code breaks. They also provide relevant information about what went wrong, where, and what can be done to make amends.
Similar to other companies in the entertainment industry, gaming companies typically drive revenue from three sources: in-app purchases, ads, and subscription. A couple of examples of these sources include creating different in-app purchase options for each game and various ad units from multiple ad networks. While this diversity in revenue streams may be advantageous from a business perspective, from a technical standpoint, it creates numerous challenges.
As a BI Analyst, have you ever encountered a dashboard that wouldn’t refresh because other teams were using it? As a data scientist, have you ever had to wait 6 months before you could access the latest version of Spark? As an application architect, have you ever been asked to wait 12 weeks before you could get hardware to onboard a new application?
Companies realize that in order to grow, connect products and services, or protect their business, they need to become data-driven. In selecting the tools to realize these goals, organizations effectively have two choices: a self-selected combination of analytics tools and applications or a unified platform that handles all. In this blog we will discuss the challenges of the former choice that will provide justification for the latter.
