Towards Data Science

AUGUST 8, 2023

Where we started In the mid-2010s, data teams began migrating to the cloud and adopting data storage and compute technologies — Redshift, Snowflake, Databricks, GCP, oh my!  Pioneering Data Observability: Data, Code, Infrastructure, & AI The four dimensions of data observability: data, code, infrastructure, and ai? The upside?

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Monte Carlo

AUGUST 7, 2023

Where we started In the mid-2010s, data teams began migrating to the cloud and adopting data storage and compute technologies – Redshift, Snowflake, Databricks, GCP, oh my! In fact, the CTO of a fast growing company told me recently: “This is the secular trend given how the world is changing. The upside? The downside? fire drills.

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phData: Data Engineering

JANUARY 3, 2022

DataOps: What Is It, Core Principles, and Tools For Implementation Nick Goble January 3, 2022 When building a successful company, it’s critical to have a strategy around how you build and scale your business from a technology and data perspective. Want to Save This eBook for Later? No problem! Table of Contents How Impactful is Your Data?

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