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

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

  1. 26m ago

    How Data Teams Are Using Data Marketplaces to Monetize Assets

    In this episode of The Data Business Podcast, Lucas and Luna explore the rise of data marketplaces as a new revenue channel for data teams. They discuss the shift from internal data products to external monetization, using the example of a mid-sized logistics company that started selling anonymized route optimization data. The conversation covers the key decisions: how to price data, how to handle governance and privacy, and how data marketplaces can become a competitive moat. Lucas shares insights on the current state of the market in August 2026, where data marketplaces are increasingly becoming a standard part of the data strategy. Luna challenges the idea that data monetization is easy, pointing out the hidden costs of support and compliance. They wrap up with a forward-looking view on how data marketplaces might evolve, and a brief note on listener support for the show. #DataMarketplaces #DataMonetization #DataProducts #DataStrategy #DataGovernance #Privacy #DataPricing #Revenue #BusinessTechnology #DataBusiness #Analytics #DataInfrastructure #DataEngineering #DataLeadership #DataIndustry #FexingoBusiness #BusinessPodcast #Technology Keep every episode free: buymeacoffee.com/fexingo

    How Data Teams Are Using Data Marketplaces to Monetize Assets

  2. 1d ago

    The Hidden Cost of Data Lineage at Scale

    Data lineage is a cornerstone of modern data engineering, but as pipelines grow, the cost of storing and querying lineage metadata can quietly explode. In this episode, Lucas and Luna explore how one mid-sized fintech company discovered that their lineage graph had become a bottleneck, driving up compute costs and slowing down impact analysis. They walk through the surprising economics of lineage: the storage overhead, the query complexity, and the hidden operational burden. They also discuss practical strategies for pruning and partitioning lineage data, and why some teams are moving to a hybrid approach that balances granularity with cost. Tune in to learn why your lineage metadata might be your next data cost frontier—and what you can do about it. #DataLineage #DataCosts #DataEngineering #DataOps #MetadataManagement #DataInfrastructure #CostOptimization #DataPipelines #DataGovernance #Fintech #DataAnalytics #TechBusiness #DataTeams #LineageGraph #DataStorage #QueryPerformance #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

    The Hidden Cost of Data Lineage at Scale

  3. 2d ago

    The Rise of Data Clean Rooms for Privacy-Safe Collaboration

    On this episode of The Data Business Podcast, Lucas and Luna dive into the world of data clean rooms — secure environments where companies can share and analyze data without exposing raw customer information. They explore how brands like Walmart and Disney are using clean rooms to power ad campaigns and measure performance while respecting privacy regulations. With the death of third-party cookies, clean rooms are becoming essential infrastructure for digital advertising. The hosts break down the technology — from cloud-based solutions to privacy-enhancing computation — and discuss the real business value: better targeting, accurate attribution, and deeper customer insights without the legal headaches. They also examine the challenges: data governance, cost, and the skills gap. If you're in marketing, analytics, or data strategy, this episode offers a clear roadmap for leveraging clean rooms effectively. Tune in to learn how clean rooms are quietly reshaping the data collaboration landscape. #DataCleanRooms #PrivacySafeAnalytics #DataCollaboration #ThirdPartyCookies #DigitalAdvertising #Walmart #Disney #BusinessPodcast #DataInfrastructure #PrivacyTech #MarketingAnalytics #DataGovernance #CloudComputing #DataStrategy #AdTech #FexingoBusiness #BusinessAndTechnology #DataBusiness Keep every episode free: buymeacoffee.com/fexingo

    The Rise of Data Clean Rooms for Privacy-Safe Collaboration

  4. 3d ago

    How Data Teams Use Open Table Formats to Cut Costs

    In this episode of The Data Business Podcast, Lucas and Luna explore the practical impact of open table formats like Apache Iceberg, Delta Lake, and Apache Hudi on data infrastructure costs. They discuss how a mid-sized SaaS company reduced storage and compute costs by 30 percent after migrating to Iceberg, the role of partitioning and compaction in cost optimization, and the trade-offs between the three main formats. They also touch on the emerging trend of open data lakehouses and how these formats enable more efficient querying across engines. With a focus on real-world numbers and decision-making, this episode provides actionable insights for data leaders evaluating their storage and compute strategies. Tune in to understand why open table formats are becoming a standard part of modern data stacks and how they can help your team save money without sacrificing performance. #OpenTableFormats #ApacheIceberg #DeltaLake #ApacheHudi #DataInfrastructure #DataCostOptimization #Lakehouse #DataEngineering #DataManagement #CloudData #Analytics #TechPodcast #Business #FexingoBusiness #BusinessPodcast #DataPodcast #DataLeaders #DataStrategy Keep every episode free: buymeacoffee.com/fexingo

    How Data Teams Use Open Table Formats to Cut Costs

  5. 4d ago

    How Data Teams Are Using Feature Stores for Real-Time Inference

    Feature stores are quietly becoming the backbone of real-time machine learning, but most data teams still treat them as just another database. In this episode, Lucas and Luna dig into what a feature store actually is, how it differs from a traditional feature pipeline, and why the ones that succeed are the ones that treat features as versioned, governed products — not just cached values. They walk through a concrete example from a large European e-commerce company that cut its real-time inference latency from 400 milliseconds to 40 milliseconds by moving feature computation online, and they talk about the hard part: keeping training and serving features consistent. Along the way, they touch on the rise of the 'online-offline consistency' problem, the tension between data engineering and ML engineering over who owns the feature store, and why some teams are now using feature stores as a form of data contract for their models. If you're building real-time ML, this episode gives you a clear mental model for when a feature store is worth the operational overhead — and when it's just another layer of complexity. #FeatureStore #RealTimeML #MachineLearning #DataEngineering #MLOps #DataProducts #DataGovernance #OnlineInference #OfflineTraining #DataContracts #DataInfrastructure #DataScience #StreamingData #DataPipelines #BusinessAndTechnology #TechPodcast #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

    How Data Teams Are Using Feature Stores for Real-Time Inference

  6. 5d ago

    Data Teams Are Adopting DataOps to Cut Waste

    On this episode of The Data Business Podcast, Lucas and Luna explore how data teams are turning to DataOps—a set of practices borrowed from DevOps—to cut down on wasted effort, reduce errors, and speed up delivery. They dig into the real story of a mid-sized e-commerce company that cut its data pipeline failure rate by 70 percent in six months by adopting DataOps principles: version control for code, automated testing, and continuous integration for data pipelines. The hosts discuss why DataOps has become a must-have in 2026, how it changes the role of data engineers and analysts, and the cultural shifts that make it work. They also get practical: what to automate first, how to measure success, and where the common pitfalls lie. If you're building or running a data team and want to move faster without breaking things, this episode gives you a clear playbook. #DataOps #DataEngineering #DataPipelines #DevOpsForData #DataQuality #DataAutomation #DataCulture #DataStrategy #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #DataManagement #AnalyticsEngineering #DataInfrastructure #CIForData #DataVersioning #DataTeam #DataLeadership Keep every episode free: buymeacoffee.com/fexingo

    Data Teams Are Adopting DataOps to Cut Waste

  7. 5d ago

    How Data Teams Are Using Lakehouse Architectures to Cut Costs

    In this episode of The Data Business Podcast, Lucas and Luna explore how modern data teams are leveraging lakehouse architectures to slash storage and compute costs while improving query performance. They examine a real-world case of a streaming service that cut its data infrastructure bill by 30% by migrating from a traditional data warehouse to a lakehouse setup, and discuss the trade-offs involved in terms of governance, schema enforcement, and team skill sets. The hosts break down the key components — from open table formats like Delta Lake and Apache Iceberg to the role of caching and partitioning — and offer practical advice for listeners considering a similar migration. They also touch on the growing trend of 'data cost per query' as a metric for optimizing spend, a topic previously covered in episode 149, and look ahead to how lakehouse architectures might evolve with the rise of AI-driven data workloads. If you're a data engineer, analyst, or business leader trying to balance performance and cost, this episode gives you a clear framework for thinking about your data stack. #Lakehouse #DataArchitecture #DataCostOptimization #DeltaLake #ApacheIceberg #DataEngineering #Analytics #DataInfrastructure #DataPlatform #DataGovernance #CloudData #DataWarehouse #DataLake #BusinessTechnology #DataBusiness #FexingoBusiness #BusinessPodcast #DataPodcast Keep every episode free: buymeacoffee.com/fexingo

    How Data Teams Are Using Lakehouse Architectures to Cut Costs

  8. Aug 13

    How Data Teams Are Adopting Metric Stores

    Metric stores are becoming the backbone of consistent business metrics, bridging the gap between raw data and decision-making. In this episode, Lucas and Luna explore why companies like Airbnb and Shopify are turning to metric stores to define metrics once and reuse them across BI tools, feature stores, and reverse ETL pipelines. They break down the core concept—metrics as code—and walk through a practical example of how a mid-sized e-commerce company slashed metric definition time by half using a metric store with a semantic layer. Along the way, they discuss the trade-offs of adding another tool to the stack, the role of headless BI, and how metric stores complement existing data contracts and lineage efforts. If you're a data leader weighing whether a metric store is worth the hype, this episode gives you the concrete questions to ask before you commit. #MetricStores #DataEngineering #SemanticLayer #BusinessIntelligence #DataProducts #HeadlessBI #DataGovernance #DataTeams #Analytics #DataInfrastructure #Airbnb #Shopify #MetricsAsCode #DataContracts #DataLineage #BusinessAndTechnology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

    How Data Teams Are Adopting Metric Stores
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About

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

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