This book was making its rounds on social media, and the concept seems interesting enough to make me want to read it. It’s a very short book (only 106 pages), but a pleasant read. It focuses on the people side of a data strategy, instead of focusing on technology and tools as sometimes many of […]
Tag: data
Build Once – Add Metadata (the importance of metadata-driven frameworks)
When working in business intelligence, data engineering or data in general, there are some “mantras” that are being adopted by the larger community as “best practices”. For example, I shout “STAR SCHEMA ALL THE THINGS” anywhere I can, because a star schema is the most optimal way to design your model in Power BI. We […]
Book Review – Designing Data-Intensive Applications
The book Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann was recommended to me by a colleague. The author has worked at companies such as LinkedIn, where he has built large distributed systems to handle data, so I guess he knows what he’s talking about 🙂 (he’s also a […]
Book review: Calling Bullshit – The Art of Skepticism in a Data-Driven World
I recently finished the book Calling Bullshit – The Art of Skepticism in a Data-Driven World by Carl T. Bergstrom & Jevin D. West. I found it a very entertaining read, and especially useful in this day and age of social media, fake news and deep fakes. Calling out bullshit has been necessary for a […]
Cloudbrew 2019 – Slides
Cloudbrew 2019 is over and it was a great event. Great speakers and a big audience. Even in my session there were a lot of attendees, which I found a bit surprising, because at general tech events there tend to be less people in the data tracks. Not this time however, I nicely filled room […]
T-SQL Tuesday #100!
The monthly blog party is back and we’ve reached the mythical number 100. The host of this month is the Creator himself: Adam Machanic (blog | twitter). The topic is the future: what will the world be like when it’s T-SQL Tuesday #200? The very first T-SQL Tuesday was over eight years ago, which was […]