Music and data

You know your music genre.

The genre that just checks all the boxes for you. It might be nostalgic, inspiring, relaxing, or energizing. Or all of those things at once.

You know award shows, the history, the terminology, and the genre-defining artists.

How jazz found its roots in New Orleans over a hundred years ago in the African American communities.

Or nuances of baroque, classical, and romantic genres that developed in Europe over the last few hundred years.

What’s your music genre?

You know your data genre as well.

That genre of data that you built your career on. The patterns, styles, and technologies feel familiar and energizing for you.

You know the open source projects, the thought leaders, the terminology, and the industry-defining moments over the last few decades.

Genres like streaming analytics. Batch data warehousing. Web analytics. Business intelligence. Data governance. MLOps.

What’s your data genre?

The innovators in music are those who borrow and integrate from different genres. A hip-hop artist is inspired by jazz. A rock musician is inspired by classical music. The folk artists embracing elements of techno.

People like Ray Charles, Bob Dylan, and Johnny Cash.

Same with data.

The innovators in data are those who expand beyond their safe and comfortable data genre. They ideate on streaming patterns with data warehouses. They explore the flexibility of web analytics when they build data governance patterns.

When you are comfortable with your data genre, it takes some courage to step outside the box and start innovating.

It’s what the data world needs.

It was great to see you today,

Sawyer

from The Data Shop