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Contenido proporcionado por Paul B. Felix. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Paul B. Felix o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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What is an Operational Data Store?

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Manage episode 449344921 series 3006439
Contenido proporcionado por Paul B. Felix. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Paul B. Felix o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.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 Paul@leapfrogbi.com
Connect with Paul (Founder and Managing Partner, LeapFrogBI): LinkedIn
Watch on YouTube: LeapFrogBI - YouTube
Subscribe on:
Apple Podcasts
Spotify
Amazon

  continue reading

42 episodios

Artwork
iconCompartir
 
Manage episode 449344921 series 3006439
Contenido proporcionado por Paul B. Felix. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Paul B. Felix o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.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 Paul@leapfrogbi.com
Connect with Paul (Founder and Managing Partner, LeapFrogBI): LinkedIn
Watch on YouTube: LeapFrogBI - YouTube
Subscribe on:
Apple Podcasts
Spotify
Amazon

  continue reading

42 episodios

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