python, scala, spark
JupyterLab is an awesome piece of technology for prototyping, self documenting research. But can you use it for projects that have a big codebase ?
data warehouse, mariadb, mysql
Is MySQL or MariaDB suited for the analytics workload of data science? Can it be used as a data warehouse? Let’s find out.
analytics, data warehouse, excel, sql
Do you feel spending more time getting the data instead of producing impactful insights? You are not alone. Let’s explore 4 ways to solve this.
analytics, excel, powerbi
You think Excel is not suitable for analytics? Let me convince you that Excel can be your best tool with PowerBI.
analytics, saas, sql
A query to dissect the MMR evolution between new, lost, winback, expansion and reduction MRR.
In order to use Spark on windows you need to install winutils.exe and change some environment variables. Here is a nice fix.
data warehouse, postgresql
Is PostgreSQL a good companion for a data scientist at a startup? At which maturity stage should it be used? Let’s find out!
business, data warehouse, startup
At the foundation of deep analytics there is a nicely structured master table. Let’s see where a startup need to start.
analytics, business, dashboard
Let’s review the book Hacking Growth Hacking Growth : How Today’s Fastest-Growing Companies Drive Breakout Success from a data science perspective.
analytics, business, dashboard, startup
A good dashboard is a tool to reflect on the business, find new questions and insights to achieve growth. Get some tips.