As a Data Analyst, you usually work with two types of stakeholders: the clients (business users) who ask for data, and the …
Have you ever played table tennis? Imagine you’re a recreational table tennis player. You’re not great, but you’re not …
A short story about my history with programmatic configuration (or lack thereof) and how it's related to analytics.
How a data person might fit into your company's learning cadence, and what that means for company performance.
Simple data people tricks, a hierarchy of feature stores, and Shreyas Doshi on product metrics.
How Amazon uses input metrics, a data pipeline is a materialized view, and the case against self-service data and analytics.
A quick look at what Snowflake's been up to re: the Data Lakehouse, an inside look at Amazon's data-driven decision making, and how Airbnb customized Superset to fit their needs.
The data lakehouse is a thing, Superset is also a thing, and how to make dashboards using a product thinking approach.
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