Explore the evolving trends in data management with a focus on data fabric, data products, MDM, and AI. Learn about the challenges and benefits of data frameworks, the significance of harmonizing data for regulatory purposes, and the transition to more distributed models. Delve into the distinctions between aggregates and MDM, AI adoption trends in Europe, and the potential for automation through generative AI. Discover the concept of defining 'good' data quality, the evolution and potential of data fabrics, and the convergence of analytical and operational stores. Dive into blockchain integration for enhanced governance and security in data management at scale.
Transition from monolithic architectures to scalable models like data mesh and MDM is crucial for effective data management.
Incorporating generative AI and advanced analytics in data management can drive impactful business outcomes and operational efficiencies.
Deep dives
Evolution of Data Management Strategies
Data leaders now navigate strategic insights, best practices, and recommendations for data-driven organizations. Insights include transitioning from monolithic architectures to scalable models like data mesh, data fabrics, and MDM, reflecting the evolution of effective data management strategies in response to diverse business needs.
Data Products and AI Integration
Discussions around data products and AI applications highlight enhancing customer satisfaction and operational efficiencies through innovative use cases. The integration of generative AI like copilots and advanced analytics in data management signifies a shift towards leveraging AI technologies for impactful business outcomes.
Data Mesh and Blockchain Potential
Exploration of concepts like data mesh reveals a decentralized governance model to enhance data interoperability and scalability. Insightful discussions on using blockchain to address cross-domain governance challenges and incentives management underscore a futuristic approach to data architecture and collaboration.
Future Trends and Collaboration
Engagement with cutting-edge data technologies like event streaming, blockchain, and incentives management hints at future trends in data governance and collaboration. The potential for collaborative books or publications focusing on blockchain for data management signifies a forward-thinking perspective on evolving data strategies.
On this episode of the CDO Matters Podcast, Piethein Strengholt, author of the O’Reilly book ‘Data Management At Scale’, and current CDO of Microsoft Netherlands, shares his perspectives on a variety of emerging technology trends in the world of data, including the data fabric, data products, MDM, AI – and many others – even blockchain for data management.
Malcolm moderates a lively discussion on these trends, with a focus on how data leaders can better understand these concepts, and their value and purpose in a modern enterprise data architecture.