There’s been a lot of talk about scalability recently, some emerging technologies even use it as a differentiator against the established big players…but what constitutes a truly scalable solution and why does it matter? I’ll start with the latter first…if a method or solution or database or tool is not scalable to meet all the

I often encounter these terms: digitization, digitalization, as well as digital transformation. That’s not the problem as I’m always interested in reading an article or listening to a presentation or a webinar about these topics. The problem is that a lot of times they are used interchangeably or incorrectly. Let’s explore what is the difference

…What was the question again? Within the Enterprise Information Management space, one thing is clear…data experts can’t do it all on their own…they need the business to help them. After all, Data is a People business. The Knowledge lies with the business and they have accountability for the business data that represents that knowledge. The

Data Governance and/ or Data Quality are often seen as being driven by IT, which is always in symbiosis with the business side, providing services in exchange of accommodation and food (aka budget). Data Governance and Data Quality are one of the areas where business expects services from IT. But IT is a complex creature

…and it is going to turn the IT world upside down and the put business world back in charge. It all started for me in the very early 90s when I asked what the strange looking computer with the larger than normal monitor was standing, mostly idle, in the my employer’s group IT building, next

Recently I had a discussion on the question if the goal of data management would be to achieve good data quality or if data quality is an enabler for the most different business purposes. Data quality (DQ) is, in my personal opinion, an extremely interesting topic. When I started to learn about data quality more

The easiest way to understand what a data catalog is to first understand its purpose. For that, let’s take a trip down the memory lane and reminisce about the days of the product catalogs. Does anyone remember the old Macy’s catalogs? It was basically a catalog that one would browse through for clothes, cooking items,

When your organization depends on business intelligence reporting, you will need a high level of process automation within your DWH/BI application development. When you can build automation into your DWH development process, you will need fewer highly skilled people to perform tedious and repetitive testing processes – usually, every day. It is practical to increase

Long ago I read an article about an apparently strange behavior: if you’re seeing a person looking at their watch and you immediately ask what time it is, just a small percentage can tell you the correct time. Some researches tried to investigate what’s the explanation for this apparently strange behavior. The results were quite

Shift left testing is an approach to Data Warehouse (DW) / BI development where testing is performed early in the lifecycle. Shifting left refers not only to dynamic data and BI application testing- it also refers to static testing, conducting reviews and inspections, and even more unit and integration testing. In this article, we highlight: