In the development world, we’re constantly being bombarded by new innovations with the potential to change our world. 5G, augmented reality, machine learning… there’s probably never been a more fertile and exciting time to be a developer.

One big mistake I see organizations make when starting out on their data governance journey is forgetting the rationale behind data. So don’t just govern to govern. Whether you need to minimize risks or maximize your benefits, link your data governance projects to clear and measurable outcomes. As data governance is a non-departmental initiative, but rather a company-wide initiative, you will need to prove its value from the start to convince leaders to prioritize and allocate some resources.

As an entrepreneur and the CTO of a young startup, keeping a close eye on the product is at the top of my priorities. To keep improving the product, I’m always alert to new issues; and seeing those issues from different perspectives is key to resolving problems before users are affected. This is where monitoring comes in. In this blog post, I will get you into my stack and share the list of monitoring tools I’m using on a daily basis.

We asked 27 marketers to share how they use Google Sheets. The result: 19 unique use cases you can adopt, plus several tools that make Google Sheets more extensible.

In October 2018, TDWI and Talend asked over 200 architects, IT and Analytics managers, directors and VPs, and a mix of data professionals about their cloud data warehouse strategy in a survey conducted in October 2018. We wanted to get real answers about how companies are moving to the cloud, especially with the recent rise of Cloud Data Warehouse technologies. For instance, we wanted to know if a cloud data warehouse (CDW) is seen as a key driver of digital transformation.

I started my Qlik journey as a customer and there was a reason why I fall in love with the technology; its one-of-a-kind Associative technology that helped me ask the unknown questions by surfacing the hidden associations and connections between data values.