Today, every modern company faces the crucial decision on the form of its data architecture. Two markedly different approaches are often mentioned in this context: Data Lake and Data Warehouse. Historically, both have always pursued a common aim: to acquire an in-depth understanding of a…
I have already commented on the role the core layer plays in traditional data warehouse solutions. Even if this is not the youngest of concepts, it still has significant benefits to offer. Today, I would like to discuss more about the options that are…
Last month at Česká spořitelna, in cooperation with Profinit and MANTA, a long-awaited hackathon took place, devoted to efficient extraction of information on data lineage. The successful event brought several very interesting insights for participants not only from the organizing companies, but also for students…
During my professional career, I have always worked with data warehouse solutions of high maturity and of strategic importance to the company. The fundamental part of these solutions was always the core layer, where all the data is integrated in the same model to produce…
Do you think it is possible to have a healthy enterprise data environment despite the consumption and storage of poor-quality data? Caleb Scharf, in his book The Ascent of Information, challenges readers to think about the term “data health”. Let me…
I dare say that the vast majority of business intelligence solutions we can see everywhere still run on relational databases. No wonder. I remember how amazed I was when I came to understand the simplicity and beauty of relational algebra and learned of the versatility…
When it comes to lending, banks are increasingly harnessing the power of machine learning to drive targeted campaigns. But to offer the right loan at the right time, you need to understand how customers behave.
“In God we trust. All others must bring data.” — W. Edwards Deming Making decisions based on data is a sensible idea now accepted by the vast majority of managers. There is also a fairly broad consensus on the prerequisites for data-driven decision-making in companies.
What does it mean to start using cloud services efficiently? From a business perspective, the most important thing is to gain added value compared to on-premises solutions. That’s what my last post was about. In this post, I will discuss several areas that are…
The cloud is cool. How can it be leveraged to get maximum added value? We live in the cloud age. Most of the internet services I use run on the cloud. The business applications our customers use are also mostly on the cloud—and not just…
