In today’s data-driven world, organizations are rapidly evolving their data architectures to meet the demands of scalability, flexibility, and real-time analytics. This session explores the cutting-edge trends in modern data architecture, focusing on cloud-native solutions, data mesh, data fabric, and data lakehouse concepts. We’ll delve into how these architectures are reshaping the data landscape and discuss future trends that will define the next generation of data management.
Key topics include:
- Cloud-Native Architecture: Leveraging the power of cloud platforms for scalable and flexible data solutions
- Data Mesh: Implementing a decentralized approach to data ownership and governance
- Data Fabric: Exploring metadata-driven solutions for unified data management across diverse environments
- Data Lakehouse: Combining the best of data lakes and data warehouses for optimized storage and analytics
- Future Trends: Examining emerging concepts such as AI-powered automation, edge computing, and real-time data processing.