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The Data Business Podcast with Fexingo: Analytics, Data Infrastructure, and Information Products

The Data Business Podcast with Fexingo: Analytics, Data Infrastructure, and Information Products

By: Fexingo
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Data is the raw material of modern business, but most companies drown in it. The Data Business Podcast with Fexingo examines how organizations turn data into durable products and infrastructure — from analytics stacks and data pipelines to information platforms that generate recurring revenue. Lucas and Luna dissect real cases: how Snowflake built a cloud-data monopoly, why dbt became the standard for transformation, and how startups like Fivetran and Airbyte compete in the extraction market. They explore the economics of data-marketplaces, the governance trade-offs of lakehouse architectures, and the metrics that separate high-performing data teams from compliant ones. Each episode grounds a specific tension — open-source vs. proprietary, speed vs. accuracy, self-service vs. centralization — in the numbers and decisions that matter. Designed for data engineers, analytics leaders, and product managers building data-intensive businesses, the show avoids hype and focuses on the durable principles that survive tool churn. Lucas brings a journalist's precision to the business models behind the stack; Luna challenges with practitioner questions about real-world friction. By the end, you'll understand not just what tools are trending, but why the economics of data are shifting — and what that means for your next build-or-buy decision. #DataBusiness #Analytics #DataInfrastructure #DataEngineering #InformationProducts #Snowflake #Dbt #Fivetran #Airbyte #Lakehouse #DataGovernance #DataMarketplace #OpenSourceData #DataMonetization #Business #FexingoBusiness #BusinessPodcast #Technology Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved. Economics
Episodes
  • How Federated Learning Is Reshaping Enterprise Data Strategy

    How Federated Learning Is Reshaping Enterprise Data Strategy
    Jun 14 2026
    Episode 50 of The Data Business Podcast. Lucas and Luna dive into federated learning — a technique where machine learning models train across decentralized data without raw data ever leaving its source. They explore a concrete case: how a major hospital network used federated learning to collaborate with pharmaceutical partners on drug discovery while keeping patient records legally compliant. The episode breaks down the technical architecture, the governance implications, and why this model is gaining traction in regulated industries like healthcare and finance. Lucas explains how federated learning flips the traditional data-centralization paradigm, and Luna pushes on the practical challenges: coordination overhead, statistical drift, and the thorny question of who owns the trained model. If you're building data products or running a data team in a regulated environment, this episode gives you the vocabulary and the framework. The Data Business Podcast is part of the Fexingo Business network. #FederatedLearning #DataStrategy #EnterpriseData #MachineLearning #DataPrivacy #HealthcareAI #DrugDiscovery #RegulatoryCompliance #DataGovernance #ModelTraining #DecentralizedData #DataPartnerships #FLArchitecture #RiskManagement #BusinessAndTechnology #DataInfrastructure #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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    10 mins
  • How Data Teams Are Building Internal AI Copilots on Their Own Data

    How Data Teams Are Building Internal AI Copilots on Their Own Data
    Jun 13 2026
    In this episode, Lucas and Luna explore the emerging trend of data teams building internal AI copilots—custom conversational interfaces trained on proprietary enterprise data. They examine the case of a mid-size logistics company that built a 'Supply Chain Brain' using its own shipment, weather, and inventory data, cutting query time from hours to seconds. The hosts discuss the key architectural choices: vector embeddings, RAG (retrieval-augmented generation), and the importance of data quality and governance. They also touch on the pitfalls, including hallucination risks and the need for human-in-the-loop validation. The conversation ends with a forward-looking question: will every data team eventually need to become a product team shipping conversational interfaces? #AI #DataEngineering #DataProducts #DataTeam #Copilot #RAG #VectorDatabases #LLM #EnterpriseData #Business #Technology #FexingoBusiness #BusinessPodcast #DataInfrastructure #InternalTools #Governance #Logistics #SupplyChain Keep every episode free: buymeacoffee.com/fexingo
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    9 mins
  • Why Data Products Are Eating Enterprise Software

    Why Data Products Are Eating Enterprise Software
    Jun 13 2026
    Lucas and Luna explore how data products — self-contained, reusable data assets with defined quality SLAs — are displacing traditional enterprise software. They examine a real case: how a mid-market retailer replaced its customer analytics suite with an internal data product built on Snowflake and dbt, cutting costs by 40 percent while giving business teams self-serve access. They also discuss why data products require new governance models, the tension between centralization and federation, and what this means for enterprise software vendors. Along the way, they address why listener support matters for keeping the show ad-free. #DataProducts #EnterpriseSoftware #DataMesh #Snowflake #dbt #DataGovernance #SelfServeAnalytics #DataInfrastructure #DataContracts #DataObservability #BusinessAndTechnology #FexingoBusiness #TheDataBusinessPodcast #BusinessPodcast #DataStrategy #DataEngineering #Analytics #DataProductMarketplaces Keep every episode free: buymeacoffee.com/fexingo
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    11 mins
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