Systems | Development | Analytics | API | Testing

A Complete Guide to the Pros and Cons of No-Code API Development

APIs, or application programming interfaces, have become vital components for businesses looking to compete in the digital economy. What draws business operations toward API implementation is the fact that APIs afford businesses the opportunity to get more out of their valuable data. Considering that the worldwide API management market size is projected to reach over $13 billion by 2027, it’s clear that APIs have created a prominent place for themselves in the digital economy.

What Is Data Observability in a Data Pipeline?

The five things you need to know about data observability in a data pipeline are: Becoming a data-driven organization is a vital goal for businesses of all sizes and industries—but this is easier said than done. Too many companies fail to attain the fundamental principle of data observability: knowing the existence and status of all the enterprise data at their fingertips.

The Power & Importance Of Developing A Data Mesh Architecture.

More than ever, data platforms are becoming direct drivers of revenue. In this interview, host Ryan Green talks with Shane Murray, Field CTO at Monte Carlo, and Vishal Shah, Data Architect Manager at Pitney Bowes, about the importance of democratizing data, accountability, and fostering a self-service data mindset.

Optimizing the Energy Sector with Data Analytics

Across the energy supply chain from generation to consumer, we can see that the trend toward investing in renewable energy has picked up pace as demand has grown for energy companies to actively pursue investments in energies with little or no environmental impact in the quest for decarbonisation. McKinsey estimates that by 2035, 50% of energy will be wind and solar.

A Guide to Memoization in Ruby

Memoization is a caching technique to make your Ruby application run more efficiently and faster. In this post, we'll look at the benefits of memoization and when to use it in your Ruby application. We'll also look at some memoization mistakes to avoid. Let's first start by looking at code optimization — what it is and some of the different optimization techniques available.