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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 Contracts for Cost Allocation

    How Data Teams Are Using Data Contracts for Cost Allocation
    Jun 28 2026
    Episode 79 of The Data Business Podcast. Lucas and Luna explore how forward-thinking data teams are using data contracts not just for reliability but for precise cost allocation. They dive into a case at a mid-size fintech that cut its cloud data warehouse bill by 28 percent by attaching consumption tags to contract clauses. Lucas explains the mechanics of 'cost-attributed schemas' and Luna questions whether this creates perverse incentives for data producers. The conversation covers implementation gotchas, the role of open table formats, and why this approach beats traditional chargebacks. They also touch on how the practice is spreading from finance to retail and ad tech. A clear, practical episode for anyone running a data platform or paying a six-figure Snowflake bill. #DataContracts #CostAllocation #CloudDataWarehouse #Fintech #DataEngineering #DataGovernance #Snowflake #DataPlatform #FinOps #DataCosts #Chargeback #OpenTableFormats #DataProducers #DataConsumers #Analytics #BusinessPodcast #FexingoBusiness #DataInfrastructure Keep every episode free: buymeacoffee.com/fexingo
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    12 mins
  • Why Data Teams Are Using Contract Testing for Data Pipelines

    Why Data Teams Are Using Contract Testing for Data Pipelines
    Jun 28 2026
    Data contracts are getting a lot of attention as a way to enforce schema and quality guarantees between producers and consumers. But a new practice is emerging: applying contract testing — borrowed from software engineering — to data pipelines. Lucas and Luna explore how companies like Monzo and others are using consumer-driven contract tests to catch breaking changes before they hit production. They walk through a concrete example: a finance team's daily revenue report breaks because a source table column gets renamed. With contract testing, the pipeline fails fast during CI, not at 3 a.m. in a Slack alert. The episode covers the tooling landscape (from open-source Pact to dbt expectations), the organizational shift required, and why this approach is especially powerful for data mesh architectures. A practical look at how treating data pipelines like distributed services can reduce downtime and rebuild trust. #DataContracts #ContractTesting #DataPipelines #DataQuality #DataEngineering #Monzo #Pact #dbt #DataMesh #CIForData #PipelineTesting #DataObservability #DataGovernance #Business #Technology #FexingoBusiness #BusinessPodcast #DataBusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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    9 mins
  • How Data Teams Are Using Data Clean Rooms for Privacy-Compliant Analytics

    How Data Teams Are Using Data Clean Rooms for Privacy-Compliant Analytics
    Jun 27 2026
    Episode 77 of The Data Business Podcast explores the rise of data clean rooms—secure environments where companies can join datasets for analytics without exposing raw data. Lucas and Luna dissect a specific case: how a major retailer and a CPG brand used a clean room to measure ad effectiveness without sharing customer-level data. They walk through the architecture, the trade-offs (query performance vs. privacy guarantees), and why clean rooms are becoming essential for compliance with regulations like GDPR and CCPA. Lucas brings numbers from a recent industry report showing a 140% increase in clean room adoption among Fortune 500 companies since 2023. Luna challenges whether clean rooms are a genuine privacy solution or a PR shield. The episode also covers the technical distinction between differential privacy and secure multi-party computation within clean rooms, and why data teams need to rethink their data-sharing contracts. Hosted by Lucas and Luna. #DataCleanRooms #PrivacyCompliance #GDPR #CCPA #DataSharing #Analytics #AdMeasurement #DifferentialPrivacy #SecureMultiPartyComputation #Retail #CPG #Fortune500 #DataContracts #DataArchitecture #PrivacyEngineering #Business #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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    9 mins
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