A short guide to data management best practices for both large enterprises and fast-growing startups.

As complex applications change faster than ever, testers must create, prioritize and maintain tests with greater speed and velocity than ever before. In-sprint testing cannot rely on slow and manual test case creation, and maintaining repetitive scripts manually becomes impossible in short iterations. Testing requires an automated and systematic approach to test creation so you can reliably update tests based on the latest changes.

The art of management is to act at the right moment. Good leaders allow team members to be autonomous when things are going in the right direction. In the same time, they are swift in fixing up issues when it was a minor problem, thus avert a crisis later on in time. Knowing the right time act is not easy. This ability used to come from years of experience through trials and errors. With modern source control tools (e.g.

Speedscale was built primarily to provide engineering teams with better insight into their applications over time, replaying single transactions for root cause analysis that give developers and SREs confidence that tomorrow’s application code will work just as well in production as it did yesterday.

Data integration is crucial in today’s business world. Business data comes via many sources, from internal databases to clicks on a website. Being able to access all your data in one place helps your business make better, faster decisions. But how do you integrate all your data, and what’s the best way to do it? Here we discuss five data integration methods, how they work and why businesses continue to choose them.

Recent global events have forced many businesses to embrace digital technology. This and advancements in software technology caused explosive innovation, resulting in the development of new platforms within many organization’s technology suite. Functionalities such as automation, artificial intelligence, and even some internet of things (IoT) applications are now commonplace across large enterprises, small businesses and start-ups alike.

Anything that can be connected will be connected. This is the ultimate goal of technology. Connections with new objects and devices open the door for big data and new insights. It’s a branch of technology long in the making, with just a few hiccups. But advances in API technology aim to address these concerns and advance the IoT into a new era. As these advancements continue, organizations are learning that APIs can play a crucial role in increasing connectivity across the suite of IoT applications.

Dreamfactory has released an updated Getting Started With Dreamfactory Guide which provides a ranges of structural improvements over the previous guide. These improvements include offering global navigation, chapter-specific and the availability of links encouraging user contribution, issue logging and, and enhanced chapter printing functionality.

In late 2020, a CEO at an American bank revealed the thinking that’s becoming common in many businesses these days. “We’re a 103-year-old bank,” their CEO told me. “We’re doing everything on spreadsheets. But we are trying to become a highly profitable, digital-first bank that anticipates financial needs and empowers our clients with frictionless experiences. We need to become a data company.”

Enhance your financial analytics with our new Coupa integration.