Among Talend’s blog posts are many outstanding ones on data governance, such as David Talaga’s “Life Might Be Like a Box of Chocolates, But Your Data Strategy Shouldn’t Be” which encourages us to know our data, and his two-part post on “6 Dos and Don’ts of Data Governance,” in which David offers steps to take and pitfalls to avoid when starting out on data governance.

As API programs gain traction, we know many companies want to empower developers to quickly build and deliver their API products. To aid them in this effort, we recently announced the availability of new capabilities in Apigee, the enterprise API management platform of Google Cloud Platform (GCP), to help enterprise IT teams speed up their API development. With faster API development within GCP, you can innovate faster and create connected customer experiences, plus increase developer productivity.

Ghost Inspector is an automated browser testing tool for continuously monitoring websites. We recently released our WordPress plugin to show test results inside your WordPress admin dashboard. In this tutorial, you will learn how to build your own plugin using React, Webpack, and the Ghost Inspector API. You can view the final source code on GitHub.

It dawned on me recently that I don’t actually use the Yellowfin mobile app. Like other BI apps, our app essentially replicated the dashboard experience on my phone. But I don’t like viewing a dashboard on my phone, I’d much prefer to look at it on my desktop because the screen is larger. We realized that there’s no point having an app if no one uses it. So we started to think about how people use their phones and set about reinventing our app.

In the last three parts of this four-part series, we have looked at: research on the state of analytics today and the lack of BI adoption; the history of BI and how we have arrived at the augmented era; and the four main blockers to BI adoption that is stunting the growth your business data culture. Today, let's take a look at how AI and machine learning (ML) can close that adoption gap.

Gartner has recently released its 2019 Market Guide for Data Preparation ([1]), its fourth edition of a guide that was first published in the early days of the market, back in 2015 when Data Preparation was mostly intended to support self-service uses cases.