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  • How Data Contracts Cut Enterprise Integration Costs

    How Data Contracts Cut Enterprise Integration Costs
    2026/06/08
    Data contracts—agreed-upon schemas and SLAs between data producers and consumers—are quietly reshaping how large companies manage data pipelines. This episode unpacks why enterprises are moving from informal data handoffs to legally-binding data contracts, using examples from a major European retailer that cut integration time by 40% after adopting them. We explain how data contracts reduce miscommunication, enforce data quality at the source, and create a shared language for data teams and business stakeholders. Lucas and Luna also explore the trade-offs: the upfront investment in defining contracts, the risk of over-engineering, and whether this approach scales beyond large tech-forward firms. For anyone building or managing data infrastructure, this is a practical look at a trend that's moving from niche to mainstream. #DataContracts #DataGovernance #DataEngineering #EnterpriseData #DataIntegration #DataQuality #SchemaManagement #DataObservability #DataProducts #DataLineage #DataMesh #DataCatalog #Business #Technology #FexingoBusiness #BusinessPodcast #DataInfrastructure #DataOps Keep every episode free: buymeacoffee.com/fexingo
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    9 分
  • Why Data Teams Are Adopting Data Contracts Over APIs

    Why Data Teams Are Adopting Data Contracts Over APIs
    2026/06/08
    Episode 38 of The Data Business Podcast: Lucas and Luna dig into why a growing number of enterprise data teams are replacing traditional REST APIs with data contracts — formal agreements between data producers and consumers that specify schema, semantics, SLAs, and expected usage. They unpack a real case from a mid-sized fintech that cut downstream incidents by 40 percent after switching to contract-driven data sharing. Lucas explains how data contracts differ from both APIs and data catalogs, why they reduce integration costs for analytics and AI pipelines, and where the approach still falls short. Luna questions whether the model scales across thousands of datasets and brings in a counterexample from a consumer-goods company that tried and reverted. The episode includes a listener-support mention for keeping the show ad-free. Tune in for a focused comparison between two approaches to data exchange. #DataContracts #API #DataIntegration #DataGovernance #DataProduct #Fintech #SchemaEvolution #SLA #DataProducers #DataConsumers #Business #Technology #DataEngineering #DataPipelines #Analytics #AI #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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    10 分
  • How Feature Stores Are Solving the Data Science Bottleneck

    How Feature Stores Are Solving the Data Science Bottleneck
    2026/06/07
    Feature stores have quietly become one of the most important pieces of data infrastructure for machine learning teams. Lucas and Luna explore how companies like Uber, Airbnb, and DoorDash use feature stores to avoid duplicating work, reduce time-to-deployment, and operationalize ML at scale. They dive into the specific problem of 'training-serving skew', the rise of open-source tools like Feast, and why feature stores are becoming a standard part of the enterprise data stack. Along the way, they discuss how feature stores connect to data version control and data contracts, and what this means for data teams building production ML systems in mid-2026. If you're a data engineer, ML engineer, or technical manager wondering whether a feature store is worth the investment, this episode gives you the concrete use cases and trade-offs to make that call. #FeatureStore #MachineLearning #DataEngineering #MLInfrastructure #Uber #Airbnb #DoorDash #Feast #TrainingServingSkew #FeatureEngineering #DataScience #MLOps #DataVersionControl #DataContracts #EnterpriseData #Business #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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    9 分
  • How Metadata Lakehouses Unify Data Discovery Across Silos

    How Metadata Lakehouses Unify Data Discovery Across Silos
    2026/06/07
    In this episode, Lucas and Luna explore how metadata lakehouses are emerging as a new architectural layer that unifies data discovery across fragmented enterprise data landscapes. They discuss how companies like Atlassian and Uber have used this approach to reduce data discovery time by 40 percent, and contrast it with earlier metadata management strategies like data catalogs and data mesh. The conversation delves into the technical underpinnings, including open table formats like Apache Iceberg and the role of machine learning in auto-tagging, and considers whether metadata lakehouses represent a genuine paradigm shift or just another tool in the stack. #MetadataLakehouse #DataDiscovery #DataSilos #ApacheIceberg #Atlassian #Uber #DataCatalog #DataMesh #DataGovernance #OpenTableFormats #MachineLearning #AutoTagging #EnterpriseData #DataArchitecture #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #DataInfrastructure Keep every episode free: buymeacoffee.com/fexingo
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    13 分
  • How Data Lineage Is Becoming the New Corporate Compliance Standard

    How Data Lineage Is Becoming the New Corporate Compliance Standard
    2026/06/06
    Episode 35 of The Data Business Podcast dives into a quiet revolution in enterprise compliance: data lineage. Lucas and Luna explore how the European Central Bank's new digital reporting framework and the SEC's 2025 cybersecurity disclosure rules are forcing companies to track every data point from ingestion to dashboard. They break down why a major European insurer recently spent $12 million retrofitting lineage into legacy systems, and why startups like Spline and Metaphor are seeing 300% revenue growth. The hosts discuss how lineage tools are moving from mere data governance toys to board-level compliance necessities, with concrete examples of audit failures that cost firms millions. No hype, just the numbers and the strategy behind the shift. #DataLineage #Compliance #EuropeanCentralBank #SEC #DataGovernance #EnterpriseData #RegTech #Spline #Metaphor #BusinessPodcast #TechnologyPodcast #FexingoBusiness #BusinessPodcast #DataManagement #Audit #DataInfrastructure #Analytics #DataObservability Keep every episode free: buymeacoffee.com/fexingo
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    8 分
  • How Data Version Control Is Reshaping Enterprise AI

    How Data Version Control Is Reshaping Enterprise AI
    2026/06/06
    Episode 34 of The Data Business Podcast explores how data version control systems—inspired by software engineering's Git—are becoming critical for enterprise AI teams. Lucas and Luna discuss the real-world case of a fintech company that used data versioning to recover from a corrupted training dataset, saving six months of rework. They break down the key players, from DVC to LakeFS, and explain why versioning is now a non-negotiable part of the machine learning lifecycle. If you're building AI products, this is the toolchain shift you can't ignore. #DataVersionControl #EnterpriseAI #MachineLearning #DataEngineering #MLOps #DVC #LakeFS #DataLineage #Reproducibility #Fintech #DataInfrastructure #ModelTraining #GitForData #DataLake #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #DataOps Keep every episode free: buymeacoffee.com/fexingo
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    6 分
  • How Data Product Marketplaces Are Changing Enterprise Procurement

    How Data Product Marketplaces Are Changing Enterprise Procurement
    2026/06/05
    Episode 33 of The Data Business Podcast explores how enterprise data teams are shifting from custom one-off integrations to buying and selling data products through internal and external marketplaces. Lucas and Luna examine Snowflake's Marketplace, which now hosts over 2,000 third-party data listings and processes millions in monthly transactions, and compare it to AWS Data Exchange. They discuss why procurement teams are treating data like SaaS subscriptions, how data valuation is influencing contract terms, and what this means for data engineering roadmaps in 2026. The hosts also touch on the rise of data product managers and the tension between governance and speed. This episode is grounded in real examples and avoids hype — perfect for data leaders evaluating marketplace strategies. #DataMarketplaces #DataProducts #Snowflake #AWSDataExchange #EnterpriseData #DataProcurement #DataEngineering #BusinessPodcast #FexingoBusiness #DataBusiness #DataValuation #DataGovernance #ProductMarketplace #SaaS #DataStrategy #Analytics #TechProcurement #DataInfrastructure Keep every episode free: buymeacoffee.com/fexingo
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    12 分
  • How Data Contracts Are Reshaping Enterprise Pricing Models

    How Data Contracts Are Reshaping Enterprise Pricing Models
    2026/06/05
    Episode 32: Lucas and Luna dive into how data contracts are transforming enterprise software pricing. Through the lens of Snowflake's recent shift to consumption-based pricing and Databricks' new unit-based model, they explore why static subscription tiers are giving way to dynamic pricing tied to data volume and quality. They discuss the role of data contracts in enabling this shift, the challenges of unpredictable costs for customers, and what this means for CFOs and data teams in 2026. #DataContracts #EnterprisePricing #Snowflake #Databricks #ConsumptionPricing #DataVolume #DataQuality #CFO #DataTeams #BusinessTechnology #DataInfrastructure #Podcast #FexingoBusiness #BusinessPodcast #DataBusiness #Analytics #CloudData #PricingModels Keep every episode free: buymeacoffee.com/fexingo
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    9 分