Practical articles on data strategy, engineering, dashboards and AI, built from real projects.
A simple concept that prevents misleading analyses I’ve been involved in the data world for many years, and I see...
The architecture that quietly solves your integration challenges Companies often find themselves navigating an unusual contradiction. They use more tools...
Event sourcing is a data modeling technique that captures changes in a system as a sequence of discrete events, rather...
The ability to integrate and utilize data effectively is a key driver of success. Businesses often need to connect systems...
At i-spark, we’ve been advocating for the adoption of “enriched data feeds” as a way to optimize how businesses use...
An effective data strategy doesn’t just focus on gathering data; it’s about creating a clear structure with specific roles and...
Transaction data and behavioral data are essential for understanding user interactions with your product or service, but they serve different...
In this second article from a series of three, we dive deep into the integration challenge of engineering and analysis....
In the world of data, the roles of data engineers and data analysts are extremely important. Yet, the integration of...
In data engineering, transforming raw data into actionable insights is essential for organizations looking to gain a competitive edge. This...
In recent years, the data domain has gone through significant change, with the Modern Data Stack (MDS) playing a central...
The i-spark team is actively engaged with World Wide Lighting [WWL], continuing their multi-year collaboration as a vital part of...
i-sparks research Our colleague Jeroen explored the integration of the new dbt Semantic Layer combined with Klipfolio Powermetrics a few...
This article sheds light on two distinct yet complementary roles in the field of architecture: Solution Architects and Data Architects....