Episode 6 of 6 in our Data Architecture Series

In this episode, we conclude our discussion on data warehouses.

As technology costs continue to drop, small and mid-sized businesses are now in an excellent position to invest in these solutions.

We explore key considerations, including costs, potential risks, and strategies to avoid common pitfalls.

Tune in to discover what to keep in mind when making data solution decisions—and how these choices can shape the future success of your business.

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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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

Subscribe on:
Apple Podcasts
Spotify
Amazon

Episode 4 of 6 in our Data Architecture series.

Welcome to the 4th episode in our 6-part series, where we dive deep into the world of data architecture, breaking down why it matters and how it impacts your business.

This week, we’re shining a spotlight on Operational Data Stores, or ODSs—an often-overlooked architecture that can provide real-time insights for faster, more effective decision-making. But here’s the catch: "Operational Data Store" means different things to different people, and the terminology can get confusing fast.

In this episode, we unpack both the advantages and limitations of ODSs, showing you where they can drive value and where other solutions might be better suited.

Whether you’re looking to streamline reporting, integrate data sources, or just understand the building blocks of a sound data strategy, this episode is full of valuable insights to help you make informed choices.

Tune in to learn how ODSs could fit into your data architecture journey and the key factors to consider when planning your next steps!

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

Subscribe on:
Apple Podcasts
Spotify
Amazon