Docker for Data Science for Beginner’s
In the fast-moving conditional field of Data Science, it is an art to ensure … Read more
I Don’t Care How Big Your Data Is.
Innuendo aside, “big” data is getting smaller and faster. Data leaders need to adjust … Read more
Implementing Data Contracts: 7 Key Learnings
Forward: A Data Engineering Movement Afoot? We ran into Andrew, a team lead and … Read more
Is “Self-Service” Data’s Biggest Lie?
Self-serve systems are a big priority for data leaders and a principle of nearly … Read more
How to Set KPIs for Your Data Team
KPIs & Data Team As analytics professionals, we deal in data: serving ad-hoc reports … Read more
Can You Out-Architect Bad Data?
Even with the most well-designed data platforms, systems will break. Without embracing risk, you’re … Read more
The Fight for Controlled Freedom of the Data Warehouse
The data gatekeeper is dead, long live the…oh no what have we done? A … Read more
What’s Next for Data Engineering in 2023? 7 Predictions
What’s in store for the future of data engineering? In this article, I share … Read more
6 Reasons Why Companies Fail at Data Governance
Everywhere we go in the cloud data space today, we’re hearing one message loud … Read more