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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 Data Teams Are Using Data Profiling for Pipeline Quality

    How Data Teams Are Using Data Profiling for Pipeline Quality
    Jul 4 2026
    In Episode 90 of The Data Business Podcast, Lucas and Luna dive into the emerging practice of proactive data profiling—running automated checks on raw data before it enters transformation pipelines. They use a concrete case: a mid-sized e-commerce company that reduced data breakage incidents by 60 percent in three months by implementing pre-ingestion profiling checks using an open-source framework called Great Expectations. The hosts discuss why traditional monitor-and-fix approaches are insufficient, how profiling shifts data teams from reactive firefighting to preventive quality control, and the specific metrics teams should track (null rate thresholds, distribution drift, schema change detection). They also touch on the trade-offs: added latency versus prevented downstream chaos, and how this fits into the broader data contract movement covered in earlier episodes. A practical, example-driven look at a technique that's quietly becoming table stakes for serious data teams. #DataProfiling #DataQuality #GreatExpectations #PipelineQuality #DataEngineering #ProactiveMonitoring #DataObservability #SchemaDrift #DataValidation #ETL #DataInfrastructure #BusinessIntelligence #DataTeam #PreIngestion #DataGovernance #FexingoBusiness #BusinessPodcast #DataBusiness Keep every episode free: buymeacoffee.com/fexingo
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    12 mins
  • How Data Teams Are Using Cost Attribution for Cloud Spend

    How Data Teams Are Using Cost Attribution for Cloud Spend
    Jul 3 2026
    Episode 89 of The Data Business Podcast dives into a topic every data team grapples with: cloud cost attribution. Lucas and Luna break down how modern data teams are moving beyond simple aggregate billing to granular cost allocation per pipeline, per query, and per user. They explore a real-world case where a mid-market fintech used Snowflake's resource monitors and cost allocation tags to cut its data warehouse bill by 30% in three months. Along the way, they discuss the tension between engineering autonomy and financial accountability, the pitfalls of chargeback models, and why the most effective approach is a hybrid of showback and budget-based guardrails. If you're a data leader trying to justify cloud spend to the finance team, this episode offers a practical framework for turning cost attribution from a blame game into a collaboration tool. #CloudCost #CostAttribution #Snowflake #FinOps #DataEngineering #Showback #Chargeback #CloudSpend #DataInfrastructure #CostOptimization #DataTeam #BusinessAndTechnology #Analytics #FexingoBusiness #BusinessPodcast #DataBusiness #Podcast #TechOps Keep every episode free: buymeacoffee.com/fexingo
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    7 mins
  • How Data Teams Are Using Data Observability for Trust

    How Data Teams Are Using Data Observability for Trust
    Jul 3 2026
    Episode 88 of The Data Business Podcast explores how data teams are adopting data observability to rebuild trust in their pipelines. Lucas and Luna dive into a specific case: a mid-sized e-commerce company that reduced data incident detection time from hours to under four minutes using a three-pillar observability stack—freshness, volume, and schema monitoring. They discuss the cost of bad data, the tension between speed and reliability, and why observability is becoming a non-negotiable layer for modern data platforms. The episode also covers how observability tools integrate with existing data catalogs and lineage systems, and why treating data pipelines like software systems changes the game for data engineers. No fluff, just a concrete look at one team's journey from firefighting to proactive data quality management. #DataObservability #DataQuality #DataTrust #DataPipelines #DataEngineering #DataCatalogs #DataLineage #FreshnessMonitoring #VolumeMonitoring #SchemaMonitoring #DataIncidents #MonteCarloData #FexingoBusiness #BusinessPodcast #BusinessAndTechnology #DataInfrastructure #Analytics #InformationProducts Keep every episode free: buymeacoffee.com/fexingo
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    11 mins
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