Managing Data as a Product: Overcoming the Challenges of Traditional Data Management

In this conversation, Andrea Gioia discusses the importance of managing data as a product and the challenges associated with traditional data management approaches. He explains the concept of data products and how they can be modularized to create scalable and sustainable solutions. Andrea also highlights the need for a convergent platform that integrates data management and artificial intelligence, as well as the importance of metadata and context in AI applications. He discusses the concepts of data mesh and data fabric and emphasizes the need for a pragmatic and incremental approach to implementing these approaches.
🔹Managing data as a product is essential for scalable, sustainable solutions.
🔹Modularization allows faster adaptation to changing business needs.
🔹A convergent platform integrating data management and AI is crucial.
🔹Metadata and context are vital for improving data quality in AI applications.
🔹Data mesh and data fabric create a flexible, efficient data management approach.
🔹Pragmatic, incremental implementation is key to success.
Join us to gain valuable insights on modern data management strategies and how they can transform your organization's data landscape.
► More about adorsys: adorsys.com
#TapasAndPretzelsPodcast #techpodcast #DataManagement #DataProducts #AI #Metadata #DataMesh #DataFabric #ConvergentPlatform #ScalableSolutions #SustainableData

[@Valsuh45]

Insightful 🔥🔥

[@AndreaGioia]

thnaks :)