Folding Data #22
An Interesting Read: Iterating on your data team
If you’re not already subscribed to the Analytics Engineering Roundup newsletter, you should go fix that now. In this week’s deep dive, Anna Filippova from dbt Labs dives into two thought-provoking articles that came out in the past couple of weeks. Using Taylor Brownlow’s “What Will “Analyst 2.0” Look Like?” and Petr Janda’s “Bring data analyst to the table” articles, Filippova talks through: why being an analyst today feels more chaotic than ever; why we systematically devalue analytics and why jobs to be done are more useful to talk about today than job titles; why enabling iterative and collaborative data work should be the next modern data tools hill to die on going into 2022.
Tool of the Week: Hex
Hex describes itself as a "collaborative data workspace that makes it easy to go from idea to analysis to sharing". Personally, I am using it for my side data projects (something I'd previously use Jupyter Notebook for) and am loving it. It just feels so good to work in Hex. One of Hex's killer features is Graph View: automatic lineage of the code in your notebook: Hex detects dependencies between variables and visualizes them as a graph which makes debugging and refactoring a breeze.
Before You Go
If you work on the codebase long enough...