Systems | Development | Analytics | API | Testing

The data pipeline is at the heart of your company’s operations. It allows you to take control of your raw data and use it to generate revenue-driving insights. However, managing all the different types of data pipeline operations (data extractions, transformations, loading into databases, orchestration, monitoring, and more) can be a little daunting. Here, we present the 7 best data pipeline tools of 2022, with pros, cons, and who they are most suitable for. 1. Keboola 2. Stitch 3. Segment 4.

The XML data format has been around since 1996. It was first envisioned as a lingua franca (bridging language) for data to be serialized and read into completely disparate systems (with different programming languages, operating systems, and even hardware). It has been wildly successful in that goal. In software, though, 26 years is like a lifetime — and in hardware, it's an eternity.

In today’s digital business landscape, APIs have become the most important digital asset. One study found that 83% of all internet traffic belongs to API-based services. APIs act as the reusable building block that employees, partners, and customers can easily access from anywhere. Figure 1: API security overview This has also made APIs the top security challenge for most companies. In a recent survey, about 94% of respondents noted that they had faced an API security issue over the past year.