Data architecture helps companies leverage their data as a strategic asset, translate the data into an effective model and build their data strategy.
It can be frustrating, but it’s rewarding too.
Applying some software engineering principles to our data science pipeline led to great results. Here’s what we learned.
Don’t hamper developers with a system that’s impossible to adapt.
There are a lot of resources to help you become a better data scientist. Here’s my experience with one of them — the good and the bad.
Data warehousing is the aggregation and storage of data in one place, enabling data-driven decision-making. Here’s what you need to know.