#83 Empowering the Modern Data Analyst

Cloud data platforms now offer hundreds of services, plus a growing menu of SQL, NoSQL, and open source options. Unified environments promise a simpler path, but the hard trade-offs—consistency versus scale, single-writer versus sharded, RPO/RTO targets—still matter. In daily wor ...  Show more

Decision intelligence is showing up across data and AI teams as companies move beyond dashboards to decisions made with context. Graphs, entity resolution, and better data products are becoming core tools as messy, siloed data meets stricter risk and compliance needs. In day-to-d ...  Show more

In this episode of the Data Career Podcast, Avery talks with his childhood friend, Paul Alstrom, about his journey into data analytics from a non-technical background.

Paul emphasises the importance of networking, understanding the business, and getting the requirements ...

As we wrap up Season 2 of the Data Chief Podcast, It’s time to once again thank all of our listeners for tuning in and sending Cindi your ideas, and to all of our awesome guests who willingly shared their time and insights along the way.  

This season The Data Chief shar ...

<span style="font-weight: 400;">Every business likes to claim that it is "data-driven" or at least "data-informed," but too often, that's not the way things actually work. Data is relegated to an IT function, siloed and, in some cases, boils down to simply producing more repor ...

<div class="wp-block-jetpack-markdown"><h2>Summary</h2>

Designing the structure for your data warehouse is a complex and challenging process. As businesses deal with a growing number of sources and types of information that they need to integrate, they need a data modeling st ...