Episode 5 of 6 series in our Data Architecture series.
With this episode, we near the end of our 6-part series on data architectures and dive into our first discussion on data warehouses.
As the most popular method for storing data for reporting and analytics, data warehouses play a crucial role for growing businesses. However, there’s ongoing debate about what exactly defines a data warehouse.
In this episode, we break down what a data warehouse is, explore how it differs from other architectures like data lakes, and discuss two common approaches to building and using them. We also weigh the pros and cons, giving business leaders a clear understanding of how data warehouses can support their goals. Tune in to gain insights into why this architecture matters and how it can benefit your organization.
Interested in being a guest or have a suggested topic?
Email me at Paul@leapfrogbi.com
Connect with Paul (Founder and Managing Partner, LeapFrogBI): LinkedIn
Watch on YouTube: LeapFrogBI - YouTube
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