Systems | Development | Analytics | API | Testing

Businesses are collecting massive amounts of data as a part of their analytics pipeline. Most of the time, this data is filtered by a computer and presented in a way that a human interprets, through the analytics dashboard. That's a fantastic resource, and has no doubt been of great value to you in business decisions. However, restricting the interpretation of all that data that you've mined to humans leaves a lot of potential insights on the table.

A step-by-step guide to automate your data pipeline and get back time for high value work.

Editor's note: Today we hear from Dang Nguyen, API Platform Product Owner at Experian, on how the company uses the Apigee API management platform to digitally transform from a traditional credit bureau to a true technology and software provider. Read on to learn how Experian uses APIs to help businesses make smarter decisions and individuals take financial control.

“Quality at Speed” is the new norm in software development. Enterprises are making their moves toward DevOps methodologies and Agile culture to accelerate the delivery speed and ensure product quality. In DevOps, a continuous and automated delivery cycle is the backbone that makes fast and reliable delivery possible. This results in the need for proper continuous integration and continuous delivery (CI/CD) tools.

As outlined in a previous article on security challenges for microservices, DevOps are getting more widely distributed, spread thin, and forced to plan for higher levels of interactivity as well as evolving national security “backdoor” measures. Microservices, born from a still-emerging DevOps laboratory environment, can be deployed anywhere: on-prem, in the public cloud, or a hybrid implementation.

We've received a lot of fantastic feedback from industry analysts about Yellowfin and where we're going as an organization. There are three in particular that have come out recently and made me really proud of what we’ve achieved.