The Next Big Challenge for Data is Organizational - Locally Optimistic
In the past few years, much has been written about problems like discoverability, observability, data quality, and the need for data teams to become more "engineering oriented" in their mindset.
What's in Store for the Future of the Modern Data Stack?
A few weeks ago, I had the opportunity to chat with Bob Muglia, former CEO of Snowflake and one of the pioneers of the modern data stack, to learn about his predictions for the future of our industry.
A method for measuring analytical work
One of the great ironies of the analytics industry is its utter inability to measure itself. Despite "defining key metrics" for ambiguous business processes being a key responsibility in nearly every analytics role, we enthusiastically reject doing it for ourselves. Our work has been, and frustratingly remains, unmeasurable.
How we're building our data platform as a product
In this article I share the experience of my first three months at Stuart as a Data Product Manager for our internal data platform; what it means to sit at this powerful intersection between data and product; and why it's critical for a modern data platform team like ours to "think product" in truly delivering business value.
How the Modern Data Stack is Reshaping Data Engineering
Data engineering, as a practice, became front and center over the last decade and now is being reshaped heavily by different trends in the modern data stack arena. In this post, Max Beauchemin will discuss the key trends in the modern data stack arena..