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

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
Listen for free

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 Vector Embeddings for Semantic Search

    How Data Teams Are Using Vector Embeddings for Semantic Search
    Jun 30 2026
    Episode 83 of The Data Business Podcast dives into the practical uses of vector embeddings for semantic search in enterprise data environments. Lucas and Luna explore how companies like Shopify have leveraged embeddings to power product discovery and internal knowledge retrieval, reducing search-to-purchase time by 12 percent. They break down the technical trade-offs between dense and sparse embeddings, the cost of storing high-dimensional vectors, and why data teams are now embedding everything from customer support tickets to internal documentation. With a focus on real-world implementation details including approximate nearest neighbor algorithms and vector database choices, this episode equips operators and builders with a clear framework for deciding whether semantic search is worth the infrastructure investment. #VectorEmbeddings #SemanticSearch #DataInfrastructure #MachineLearning #Shopify #ApproximateNearestNeighbor #VectorDatabase #Pinecone #Milvus #DenseEmbeddings #SparseEmbeddings #NaturalLanguageProcessing #DataEngineering #BusinessTechnology #SearchOptimization #FexingoBusiness #BusinessPodcast #TheDataBusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
    Show More Show Less
    10 mins
  • What Your Data Catalog Still Gets Wrong About Search

    What Your Data Catalog Still Gets Wrong About Search
    Jun 30 2026
    Episode 82 of The Data Business Podcast. Lucas and Luna explore why enterprise data catalogs often fail at the most basic function: helping people find the right dataset. They drill into the difference between metadata search and semantic search, using the example of a large retailer that spent $2.4 million on a commercial catalog tool only to discover analysts still couldn't find their own tables. The conversation covers the rise of vector embeddings for data discovery, the concept of 'semantic similarity' in column names, and why the next wave of catalog tools are borrowing from LLM-derived embeddings rather than traditional keyword indexes. A practical episode for anyone who has ever typed 'customer revenue' into a catalog and gotten 47 unrelated tables. #DataCatalog #MetadataSearch #SemanticSearch #VectorEmbeddings #DataDiscovery #DataGovernance #EnterpriseData #DataEngineering #LLM #DataObservability #DataLakehouse #DataMesh #Analytics #BusinessIntelligence #DataProducts #DataTeams #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
    Show More Show Less
    10 mins
  • How Open Table Formats Are Rewriting Data Lakehouse Rules

    How Open Table Formats Are Rewriting Data Lakehouse Rules
    Jun 29 2026
    Episode 81 of The Data Business Podcast. Lucas and Luna explore how open table formats—Apache Iceberg, Delta Lake, and Apache Hudi—are reshaping the data lakehouse landscape. They focus on Iceberg's rise to dominance, the engineering decision at Netflix that kicked it off, and why the format war matters for anyone building a modern data stack. Specific numbers: Iceberg adoption grew from 15 percent of data lakehouse users in 2022 to over 60 percent by early 2026. The discussion covers transactional guarantees on object stores, catalog integration, and the painful migration story at a mid-size fintech that switched from Delta Lake to Iceberg. No fluff, no vendor pitches—just the real trade-offs data teams face today. #ApacheIceberg #DeltaLake #ApacheHudi #OpenTableFormats #DataLakehouse #DataInfrastructure #DataEngineering #Netflix #ObjectStore #ACIDTransactions #DataCatalog #FormatWars #BusinessAndTechnology #DataArchitecture #DataMigration #FexingoBusiness #BusinessPodcast #TheDataBusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
    Show More Show Less
    10 mins
adbl_web_anon_alc_button_suppression_t1
No reviews yet