A modern data platform makes integrating new services and empowering new use cases easier than ever. A data hub that provides your salespeople and service engineers with actionable customer data straight from your data platform is an excellent example of what you can achieve with modest effort.
In this sequel on graph analysis we try to find connections between different actors and movies they played in. Some of the links are not obvious at first glance, e.g., what is the connection between Zendaya and Audrey Hepburn? Will Smith and Chris Rock? Xander De Rycke and Steven Spielberg? Andy Peelman and Steven Seagal? The method to find out those links is the Dijskstra shortest path algorithm.
A traditional data warehouse setup is no longer up to the many data challenges ahead. If you want to get ready for the future, regardless of the amount of data you are dealing with, you should check out Azure Synapse. This data analytics environment combines all components of a modern data platform.
The internet exists out of an endless pool of raw data, not all data is worth the effort to analyse. But our colleague Jens saw that the Internet movie database (IMDb) was a diamond in the rough waiting to be mined. So, he did what every curious Data Scientist would do, he rolled up his sleeves and got to work. He used graph analysis to investigate the popularity of actors, actresses, and directors.
Whenever we work on a project for a client, one of our concerns is to deliver a solution that stands the test of time. Check out how we worked with a client to lay the groundwork for a modern data platform using a Cloud-first strategy, moving infrastructure to a cloud-computing platform.
As your traditional BI environment bumps up against its limits, a lightweight cloud analytics lab can serve as a complement and as a first step in building a future-proof modern data platform. Check out three reasons to level up your current data architecture.
Artificial Intelligence & Machine Learning technologies have been on the rise throughout several industries. But what about AI & ML in data governance? What developments can strengthen data governance practices, and how will they most likely do that? And what is possible today?
Moving an on-premises data warehouse into the cloud can be daunting. Check out how we developed a tailor-made approach to navigate our client’s cloud migration challenges and deliver a cost-effective and future-proof Azure cloud environment.
Back in November 2020, we published a blog post clarifying why Collibra is the best data governance tool. As automation is becoming a native Collibra capability, Collibra continues to lead the pack. Curious to know what Collibra automation is capable of, and how it helps you kick-start your data governance track?
