A data pipeline is a series of actions that combine data from multiple sources for analysis or visualization.

You can spend hours scrolling down the rabbit hole of government IT horror stories, which makes the recent launch of the federal website for ordering free COVID tests that much more remarkable. The website worked, and it was surprisingly easy to use. But that success belies decades of underinvestment in digital transformation that has stifled public sector innovation and hardened the government's low-tech image. For example.

TBC Bank is a technology-driven company in Georgia. We are happy to announce that we have chosen Kong to improve our API ecosystem and leverage its technological resources, expertise and international footprint to further simplify the daily lives of our users. TBC wanted to partner with a company that, in addition to providing the technology platform required to publish APIs in our bank, would also offer a strategy for developing and implementing API management principles.

There are many excellent authorization libraries for Rails, but did you know it's not that hard to build this functionality yourself? In this article, Renata Marques shows us how to use the Policy Object Pattern to implement access control in our Rails apps.

This blog post is a quick guide to help you catch up on the latest fastlane enhancements, bug fixes, and changes. Read on to find out more!

How can tracking and improving lead velocity rate help your SaaS business’s health? Get the breakdown from 10 SaaS experts.

In 2019, global venture capital investment in Fintech totaled at least $33.9 Billion. For years, the incumbent players had been warning the sector that when the next recession hit, or when fintech faced a “real” crisis, that the sector would, at worst, collapse, and, at best, see a whole bevy of fintech players disappear

Today’s business leaders face an uncertain economic landscape. In the aftermath of unprecedented business disruption in 2020, organizational decision-makers are turning their focus to new concerns. According to McKinsey research, supply chain disruption, inflation, and a growing labor shortage are now top concerns for the C-suite.

It’s the ultimate Catch-22. As businesses grow, executives need to keep a close watch on operations — but that growth itself can blur visibility. Multiple teams, data sources, and silos of information can create challenges in determining who is doing what, where inefficiencies exist, and what improvements should be made.

Data Science tools, algorithms, and practices are rapidly evolving to solve business problems on an unprecedented scale. This makes data science one of the most exciting fields to be in. As exciting as it is, practitioners face their fair share of challenges. There are well-known barriers that slow down predictive modeling or application development. Finding the right data and getting access to it are two of the top pain points we hear from our customers.