Systems | Development | Analytics | API | Testing

API abuse was once one of the most infrequent vectors for cyber security attacks. It has now moved up the list to be one of the most frequently used techniques. In a time when data is a company’s competitive edge, more and more organizations are embracing APIs to integrate various databases and applications effectively. With the amount of information shared between these APIs, securing the data and user access to that information has become increasingly important.

Current data architecture is going through a revolution. Enterprises are starting to shift away from the monolithic data lake towards something less centralized: data mesh. It’s a relatively new concept, first coined in 2019, that addresses potential issues with data warehouses and data lakes that can cause businesses to be slow, unresponsive, or even suffer from data silos. What is a data mesh, and how could it benefit your business?

Trying to determine what applications your organization needs? The application integration question can be a challenging exercise. According to a recent study, only 30% of companies succeed at digital transformation. Their lack of innovation proved one key point: companies must be agile and quick enough to implement new technologies if they wish to remain competitive.

Digital transformation is one of the hottest new business models in the enterprise today. Going through this process places digital technologies front and center in all of a company’s strategic goals. And it’s not an easy undertaking, either. You’ll need to contemplate and analyze core business functions carefully. You’ll also need to involve change management and invest time and resources, but the potential rewards are many.

The fourth industrial revolution is here! Industry 4.0 reinvents the way manufacturing companies complete day-to-day tasks by digitizing production processes. The latest technological advancements can lower operating costs, lessen product waste, reduce production line downtime, improve quality protocols, and allow manufacturers to make better use of factory resources.

The past two decades have seen enterprise IT emerge and grow, bringing many innovative technologies into the workplace. Every year that passes promises IT system upgrades rendering some systems and programs obsolete much sooner than in tech’s early days. Yet some older hardware and software remain in use. These outdated systems, known as legacy systems, put companies at a huge disadvantage compared with competitors embracing modern technology.

Every day, humans produce 2.5 quintillion bytes of data. Just to put that number into perspective, there are 18 zeros in a quintillion. Unifying data can allow you to take advantage of it and benefit your business. The vast majority of organizations have collected nearly endless amounts of data. Yet, these same organizations are starving for information that can be used to make more informed decisions. Information may be stored in databases that don’t talk to each other.

Current data architecture is going through a revolution. Enterprises are starting to shift away from the monolithic data lake towards something less centralized: data mesh. Data mesh is a relatively new concept, first coined in 2019, that addresses potential issues with data warehouses and data lakes that can cause businesses to be slow, unresponsive, or even suffer from data silos. Data mesh benefits are able to provide a wealth of advantages to your business.

You must constantly innovate and expand your offerings to stay ahead of the curve. One way to do this is by adopting APIs. API adoption can help you improve customer experience, increase efficiency, and drive innovation. This guide will discuss APIs, including how they work, what benefits API adoption offers, and how to get started.

Organizations worldwide put their best foot forward to create a centralized database where information is gathered, stored, and managed. Their data engineers transform difficult-to-decipher datasets into data pipelines that can be used by data scientists, analysts, and consumers. However, the new data mesh concept championed by Zhamak Dehghani, the director of technology for IT consultancy firm ThoughtWorks, allows domain teams to conduct cross-domain data analysis independently.