When people share their personal information with an organization, they’re performing an act of trust. They trust you to keep their data safe from hackers, and they trust you to use their data only for legitimate purposes. While many organizations honor this trust, others do not. As a result, governments worldwide are rushing to pass data protection legislation that puts the power back in the hands of people.

As the vast majority of organizations set their sights on modernizing their business, they’ll need to integrate their growing application library. In today’s world of business technology, this means making use of APIs. The many other advantages for APIs will do your organization no good without a properly integrated foundation. But sometimes integration will come with unexpected challenges.

You can’t leverage today’s business technology without making use of APIs. Nor would you want to. The advantages and benefits of API usage are too great to pass up. APIs have evolved to be more than just useful bits of code. They can be products that expand your business offerings and turn you into a platform. But not all APIs are alike. There are three main types of APIs: private, partner, and open. Private APIs are exclusively for a business’s internal use.

DreamFactory specialises in REST API generation for any number of database types however an underrepresented benefit is the ability to mount and manage any third party API via a HTTP service connector. This gives you the ability to generate documentation and secure an existing API as if it were created natively within DreamFactory.

There was a time when product teams could embed basic dashboards and data visualizations, and that was more than enough to satisfy the average user’s business intelligence (BI) and analytics needs. Today, however? Not so much. From AI-assisted analysis to automated alerts to contexualized insights, there are several new sophisticated analytical capabilities that have become core parts of modern embedded analytics solutions, and many users’ expectations have risen accordingly.

The same way architects design blueprints to plan and support the building of houses, data architects design the data architecture to support building end-to-end data pipelines. In this article, we dive into data architecture, its principles, and how data mesh fits into the story.

Interested in learning how to add schema markup to your SEO strategy? 15 SEO experts share their best tips.

Test automation makes testing efforts faster, more reliable and stable. Testing teams use test automation frameworks to ensure the test automation code is reusable, stable, and easy to maintain. A test automation framework encourages the whole team to follow common guidelines for code standards, processes and tools.

The results are in: Over the last year, Bitrise provided developers with new Xcode versions for their iOS builds faster than any other CICD platform. Check out the details in this Xcode support for CICD benchmark roundup

Jeeves is the stereotypical English butler – and an AI chatbot that answers pertinent and important questions about Spark jobs in production. Shivnath Babu, CTO and co-founder of Unravel Data, spoke yesterday at Data + AI Summit, formerly known as Spark Summit, about the evolution of Jeeves, and how the technology has become a key supporting pillar within Unravel Data’s software.