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What is a Data Warehouse?

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Manage episode 454288759 series 3006439
Content provided by Paul B. Felix. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Paul B. Felix or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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 [email protected]
Connect with Paul (Founder and Managing Partner, LeapFrogBI): LinkedIn
Watch on YouTube: LeapFrogBI - YouTube
Subscribe on:
Apple Podcasts
Spotify
Amazon

  continue reading

42 episodes

Artwork
iconShare
 
Manage episode 454288759 series 3006439
Content provided by Paul B. Felix. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Paul B. Felix or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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 [email protected]
Connect with Paul (Founder and Managing Partner, LeapFrogBI): LinkedIn
Watch on YouTube: LeapFrogBI - YouTube
Subscribe on:
Apple Podcasts
Spotify
Amazon

  continue reading

42 episodes

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