))
What is a Data Warehouse?
Fetch error
Hmmm there seems to be a problem fetching this series right now.
Last successful fetch was on October 30, 2025 15:04 (
What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Manage episode 454288759 series 3006439
Kandungan disediakan oleh Paul B. Felix. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Paul B. Felix atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/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
42 episod
Kongsi
