Articles tagged with data-thoughts
Data Mesh in practice: Product thinking and development (Part III) — Ammara Gafoor, Ian Murdoch, Kiran Prakash @ Thoughtworks Blog
There are 4 articles in this series, but I want to share this one with you because Data Product itself is closer to data engineers (from my point of view). But we’re often not aware of what it truly is and how is it built. So let’s fill the gap.
Other articles in the series: Part I, Part II, Part IV.
The State of Data Engineering 2023 — Einat Orr @ lakeFS blog
It’s time to reveal new State of Data Engineering with lakeFS!
The Question That Every Data Engineer Should Ask — Xinran Waibel @ Data Engineer Things Blog
Vital and clickbait.
BIG DATA IS DEAD — Jordan Tigani
When size doesn’t matter.
Databases in 2022: A Year in Review — Andy Pavlo @ OtterTune blog
Interesting review by Andy Pavlo about databases’ state by the end of 2022. Andy touched on database companies’ funding situation, blockchain, new database systems which getting popularity in 2022, and a few other topics.
Is DataOps the Future Of the Modern Data Stack? — The Data Downtime Blog
Am I data engineer? Am I DataOps? What are key differences? Let’s get this straight.
Data meshes and microservices - the similarities are uncanny — Ben Morris
Have you ever noticed that data teams sometimes have the same challenges as software engineering teams? So let’s learn from other’s mistakes.
How the Modern Data Stack is Reshaping Data Engineering — Max Beauchemin @ Preset Blog.
One of the first data engineers at Facebook and Airbnb, he wrote and open sourced the wildly popular orchestrator, Apache Airflow, followed shortly thereafter by Apache Superset, a data exploration tool that’s taking the data viz landscape by storm. Currently, Max is CEO and co-founder of Preset. His article is worth to be read. Do you still have doubts?
The Future of the Data Engineer — Barr Moses @ Towards Data Science Blog.
Feels like a bit of a heart-to-heart. Do you (data engineer) feel yourself as worst seat at the table?