Zero-ETL, ChatGPT, And The Future of Data Engineering
The post-modern data stack is coming. Are we ready? Zero-ETL If you don’t like change, data engineering is not for …
The Next Big Crisis for Data Teams
Data teams are more important than ever before — but they need to get closer to the business. Here’s how …
61 Data Observability Use Cases From REAL Data Teams
I wanted to share this article we put together that illustrates how real data teams are benefiting from data observability. …
Are You a Data Ticket Taker or Decision Maker?
The characteristics and value of reactive vs. proactive data teams Data Ticket Fundamentally, there are two different types of data …
All I Want To Know Is What’s Different — But Also Why and Can You Fix It ASAP?
If you want to build data trust, you can’t just gut-check the final output. You need to monitor data as …
How to Build a 5-Layer Data Stack
Spinning up a data platform doesn’t have to be complicated. Here are the 5 must-have layers to drive data product …
Pioneering Data Observability: Data, Code, Infrastructure, & AI
Outlining the past, present, and future of architecting reliable data systems. Pioneering Data When we launched the data observability category in 2019, …
Your Data’s (Finally) In The Cloud. Now, Stop Acting So On-Prem
The modern data stacks allow you to do things differently, not just at a larger scale. Take advantage of it. …
5 Generative AI Use Cases Companies Can Implement Today
Getting started with LLMs? Here are 5 popular applications data teams at OpenAI, Vimeo, and other companies are putting into …
The Moat for Enterprise AI is RAG + Fine Tuning — Here’s Why
To succeed with generative AI at scale, we need to give LLMs the diligence they deserve. Enter RAG and fine …