The role of Analytics Engineers in Modern Data Teams
In the dynamic world of data management and analytics, the landscape is constantly evolving. Traditional data teams, typically segmented into data engineers and... Read more.
Semi-structured data in Snowflake
The easiest form of data to load into a SQL database is fully structured. Comma separated values (CSV) files can be loaded into a tabular structure without any further... Read more.
Visualizing API Data on Streamlit: Football Fan Tokens & Team Performance
Fan tokens have opened up exciting opportunities for fans to actively engage with their favorite sports teams and artists. These digital tokens, often built using... Read more.
Collaboration in practice
After our first month of getting up to speed in Snowflake and SQL, the first project week is here. In remote teams of two we are coding a Python app...... Read more.
Prevent your data lake from becoming a data swamp
Imagine a serene, expansive lake, its waters clear and full of diverse life. The kind of place where you’d like to sit by and admire the view, or even take...... Read more.
Understanding data normalization: the Burger Bliss restaurant
To begin with, what is data normalization? Simply put, it’s the method of dividing larger tables into smaller, more organized ones, and then establishing connections... Read more.
The Nimbus traineeship: One month in
It’s been four weeks since we kicked off our Nimbus traineeship as the second cohort. With three months to go in our initial training, this seems a good moment... Read more.
Warehouse elasticity – Scaling up and scaling out
As my colleague Gerard mentioned in his blog on features of Snowflake, warehouse elasticity is an important part of Snowflake. Being able to increase computing power... Read more.
Data Engineer vs Analytics Engineer: What’s the difference?
Since I started my Analytics Engineer traineeship at Nimbus Intelligence, I noticed that this emerging role is often confused with the Data Engineer role. Both Data... Read more.
Can a Marketer become an Analytics Engineer?
Switching careers is never easy. It involves stepping out of one’s comfort zone, confronting uncertainties, and dedicating countless hours to acquiring new... Read more.
