Category: Data


  • Today, many companies are doing everything “by the book.”Their data is high quality, well prepared, and available in the right form. Modern BI tools, AI, and ML solutions are in place. Governance is defined, access rights make sense. And yet, in practice, things still grind. Data and BI fail to deliver the value they clearly…

  • Ho-ho-ho… and away with the data! If the Grinch decided to attack the world’s Christmas cheer in 2025, his target wouldn’t just be presents, but the most valuable thing to data people (Data Scientists, Analysts, Engineers): their data, models, and efficiency. Here is his cunning plan for ruining Christmas for everyone living in the era…

  • Hello fellow data maniacs and everyone hunting for the perfect gift for their spouse/partner/colleague in the Data Department! The holidays are approaching, and we all know how challenging it is to pick a gift that would genuinely excite a data person. 😴 Another mug? A binary code t-shirt? NO. We, data professionals, have one thing…

  • In data engineering, there are two fundamentally different ways to learn. An employee lives inside one environment, one architecture, one business context. They see how a system evolves, how it’s adjusted over time, how the company fights with it, and eventually how the organization adapts to it. They see the long-term consequences of design choices,…

  • Every now and then, I hear the prediction that dashboards will soon “die”. It’s a catchy phrase, easy to spread, but I don’t believe it. To me, dashboards are not going away. They will remain—but their role and meaning are changing. If we look back, the first phase of data work is largely behind us.…