In an increasingly data-driven world, companies worldwide have transformed the way they operate. Much of this is thanks to their ability to access a volume of data that was not available in the past. However, more recently, organizations have realized that simply collecting data is not enough, with many struggling to master the language of data. […]
5 Ways Data Can Help Save the Planet
A sustainable and equitable world is the holy grail – a world in which planet comes before profit; where equality, diversity, and inclusion are a prerequisite; and where ethics are baked into every aspect of our society and business. While this may seem like decades away from becoming a reality, there is hope. If the UN […]
8 Steps to Put Hyperautomation into Practice
In recent months there has been a great deal of hype about the concept of hyperautomation. The topic is widely cited as one of the data trends to watch in 2022 and has sparked numerous debates, comments, and blog posts, including my own. Yet although there has been much thinking and talking, the time has come […]
Is DataOps the Savior of Under-Pressure Analytics Teams?
DataOps is something that has been building up at the edges of enterprise data strategies for a couple of years now, steadily gaining followers and creeping up the agenda of data professionals. And many believe it could now finally be about to enter the mainstream. The number of data requests from the business keeps growing […]
Why I Believe the Hyperautomation Hype – and You Should Too
Click to learn more about author Mathias Golombek. Just when you’d got to grips with automation, along comes hyperautomation. The buzzword cynics will think that’s a bad joke, a Will Farrell-style parody of a “top trend to watch!” from yet another thought leader. I’d usually count myself among those cynics, but on this occasion, I’m sold […]
Big Data at 10: Did Bigger Mean Better?
Click to learn more about author Mathias Golombek. If this time 10 years ago you were working in data and analytics, something was about to happen that would go on to dominate a large part of your professional life. I’m talking about the emergence of “big data.” I recently read that the origins of the concept […]
Data Mesh in Practice: Learnings from a Customer Journey
Click to learn more about author Mathias Golombek. In my last blog post, I introduced the data mesh concept and explored the link between data democratization and data mesh. Since then I’ve had lots of interesting conversations on the topic with colleagues and customers. In particular, I interviewed one customer who has been on a very […]
Could the Data Mesh Solve Your Data Lake Scaling Issues?
Click to learn more about author Mathias Golombek. Is data mesh architecture the right approach for your organization and its data democratization journey? In my recent blog series, I delved into one of 2021’s hottest data topics – data democratization – exploring how it can fit into a business’ overarching data strategy along with some practical advice on how to implement […]
Data Science on a Large Scale: Can it Be Done?
Click to learn more about author Mathias Golombek. The Challenge Michael Stonebraker, winner of the Turing Award 2014, has been quoted as saying: “The change will come when business analysts who work with SQL on large amounts of data give way to data scientists, which will involve more sophisticated analysis, predictive modeling, regressions and Bayesian […]
Why Data Democratization Should Be Your Guiding Principle for 2021
Click to learn more about author Mathias Golombek. When Maximilien Robespierre first uttered the now famous phrase “liberté, equalité, fraternité,” during the French Revolution, the concept of data democratization didn’t yet exist. In Robespierre’s speech, the phrase was intended to unite and inspire French revolutionaries with the three ideals of freedom, equality, and brotherhood. However, […]