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 p
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What is The Data Business Podcast with Fexingo: Analytics, Data Infrastructure, and Information Products?
The Data Business Podcast with Fexingo: Analytics, Data Infrastructure, and Information Products is a business podcast hosted by Fexingo, with 155 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.
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Fexingo hosts The Data Business Podcast with Fexingo: Analytics, Data Infrastructure, and Information Products, a business show with 155 episodes published.
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Episode #160
The Hidden Cost of Data Lineage at Scale
Aug 19, 20269 minS4
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 Rise of Data Clean Rooms for Privacy-Safe Collaboration
Aug 18, 20269 minS4
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
How Data Teams Use Open Table Formats to Cut Costs
Aug 17, 20267 minS4
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 Are Using Feature Stores for Real-Time Inference
Aug 16, 202611 minS4
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
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
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