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What is an Operational Data Store?
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A tartalmat a Paul B. Felix biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Paul B. Felix vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
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 [email protected]
Connect with Paul (Founder and Managing Partner, LeapFrogBI): LinkedIn
Watch on YouTube: LeapFrogBI - YouTube
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42 epizódok
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