Catalog & Cocktails: The Honest, No-BS Data Podcast

The Future of Data Catalogs w/ Ole Olesen-Bagneux

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Data Catalogs are at the center of every enterprise’s data strategy. It’s important to explore the current state and how data catalogs are evolving. Who better to talk about Data Catalog than the author of the upcoming O’Reilly book “The Enterprise Data Catalog”, Ole Olesen-Bagneux from GN.


Join Tim, Juan, Ole to discuss the future of data catalogs and why knowledge is at the center.


Conversation highlights:

  • [00:07 - 03:06] Intro & Drinks
  • [03:10 - 05:11] Warm up, if data catalog were a cocktail what would it be
  • [05:19 - 07:06] Where the hell are data catalogs going
  • [07:07 - 09:01] What the library and information sciences world is bringing to data catalogs
  • [09:03 - 10:43] Don't think that catalogs should move away from a Google Paradigm
  • [10:43 - 12:14] Finding more valuable data sets, and Boolean queries
  • [12:16 - 16:23] Accessing what is inside a catalog and thinking about metadata
  • [16:27 - 23:36] The "shopping experience" and expressive ways of searching
  • [23:44 - 26:55] How cataloging intersects and impacts search and metadata
  • [26:55 - 29:00] Catalogs will evolve into repositories and a thesaurus
  • [29:01 - 32:05] The lifecycles of data and system life cycles
  • [32:24 - 35:19] The POSMAD Framework
  • [35:26 - 38:56] Data monetization and modern data architecture
  • [38:57 - 42:11] The potential for POSMAD and practical relation to data catalogs
  • [42:16 - 43:15] Here's the data, what are you going to do with it?
  • [43:19 - 44:30] Data to Information to knowledge to wisdom
  • [44:40 - 47:06] Cataloging ontologies and knowledge layers
  • [47:07 - 50:00] Knowledge graphs and combining with simple search and browse features
  • [50:18 - 56:34] Lightning round
  • [56:35 - 01:02:12] Tim and Juan talk takeaways
  • [01:02:17 - 01:05:55] Three questions about data, life, and the show's next guest
    • ...more
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    Catalog & Cocktails: The Honest, No-BS Data PodcastBy data.world
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