Building data-informed products
Stewart Rogers on building and managing products with embedded analytics.
Data science ideas and resources.
Ideas
The SMACK stack
A new architecture for today’s data-rich modern applications.
Data in its natural format
Integrate and access any form of data using a multi-model database.
Under the hood of machine learning
Exploring a reference architecture solution.
What is machine learning debt?
Overcome three types of debt to ship quality machine learning code.
What are machine learning engineers?
A new role focused on creating data products and making data science work in production.
Learning
Runnable code
Repeatable sampling of data sets in BigQuery for machine learning
An efficient, fast, and repeatable selection method that works on very large data sets.
Video
Solving the right problem
Max Shron and Sasha Laundy explore tactics for need-finding and problem scoping that make it possible to put investments in data to profitable use.
Runnable code
Advancing Procurement Analytics
Learn how your company can significantly improve procurement analytics to solve business questions quickly and effectively.