Data lakehouses are the talk of the town when it comes to data architecture. But why is that? And why is that happening right now? Let's take a refreshing dive into the history of data warehouses, data lakes, and data lakehouses.
Before you can generate insights from your data, you need to move those data from an operational to an analytical environment - a process commonly referred to as data ingestion. An event-driven architecture provides an elegant way to achieve a process marked by timeliness, performance, and cost-effectiveness.
Since its inception, Datashift has had an office in Mechelen. The company started out in the city’s co-working space Ondernemershuis and later moved to its own building — a former family house. Safe to say, Mechelen is Datashift’s first home. But the tech company is now expanding outside the city’s borders. To Leuven, to be precise. For a good reason. Three good reasons, actually.
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.
As Microsoft released new APIs and Collibra has kept up with numerous new developments, the integration between Power BI and Collibra offers several new possibilities. Check out more details and download our guide with tricks and tips to facilitate this new integration.
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.