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5 reasons to move your BI environment to the cloud

More and more organizations are considering a move or partial move from an on-premise set-up to a cloud environment. But what's so special about the cloud? Should you migrate or not? In this blogpost we discuss 5 must-consider reasons to move your BI environment to the cloud.

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Why big data technologies are more accessible than ever before

With the shift to the cloud, big data processing is more accessible and affordable than ever before. Frameworks like Hadoop and Spark have played a central role and can’t be ignored in a modern data stack. To understand how you can get the most out of these big data frameworks, we take you through the story behind the technologies and the crucial role they play today.

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Lots of freedom and opportunity to grow, but three non-negotiable rules: this is how we role.

When it comes to company culture and organizational structure, Datashift has always been a bit “the odd one out”. We don’t follow the classical format most companies have. We don’t have a layered organization. No one is interested in the big job titles (mind you, we’re still very ambitious!). And we’re all about reaching success as a team. We’re wired a little differently and like to go our own way because we believe that’s the best route to take for our employees and clients. No matter how much we grow, this vision will always be at the center of every decision we make. It’s simply how we work.

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What we learned from implementing a business glossary

A business glossary is the foundation that creates a common understanding of your organization’s vocabulary and data. While the concept isn’t anything complex, the implementation can be quite daunting. In this article we provide the key lessons we’ve learned while implementing a business glossary use case at our clients.

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