Metabase crunchbase how to#

Don't start with Streaming & Machine Learning 🌊ĭepending on the company's data maturity, some of these concepts are not must-haves. 📌 Check out this article if you want to hear a story about such a move and some insights about becoming a data analyst here. There are many current data engineers I know that followed that path. It's always easier like this rather than going through the main door. Therefore, you have an opportunity to understand what they do and when you feel ready, you can apply for an internal move. On top of that, a Data Analyst will often work with Data Engineers. Knowing SQL and mastering a dashboarding tool ( Tableau/ PowerBi/ Metabase) should take you already to a good position. Therefore, Data Analyst is a good start as it will require less hard skills (yet more domain knowledge sometimes). The range of technical skillset required for a Data Engineer is much broader than for a Data Analyst. If you are new to Software Engineering, then the technical entry barrier will be pretty high. 👷ĭepending on your experience, getting a first job as Data Engineer may be challenging. If the bar is too high, try another data role. This is not a shortcut, but it will help you to prioritize things and not get swamped.

Metabase crunchbase how to#

In this article, I will give you some tips on how to hack your learning journey and provide you with extra resources 📌. There is a ton of knowledge out there on how to be a 10x data engineer, but what's worth taking for you to land your first data engineer job? There are so many tooling and concepts you need to learn: it's scary 😱. Magic sunrise in the Bromo mountain by Irham Bahtiar