As self-service analytics, AI, and next-generation BI expand across enterprises, data integration demands are growing faster than ever. Quantitative market research from TDWI shows that teams are struggling to keep pace.
This TDWI Virtual Summit explores how to modernize your data integration strategy to deliver trusted, timely data at scale. TDWI research analysts, leading experts, and practitioners will share market trends in enterprise data integration, frameworks and practices, and case studies with real-world lessons learned.
Topics will include:
- How a modernized data integration architecture addresses the key challenges that stress traditional approaches, ensuring data availability in the focus of growing AI, BI, and self-service consumption
- Delivery processes and methods such as DataOps that emphasize value and agility, and their impact on your teams and processes
- Latency paradigms from traditional batch to real-time delivery, how to match them to business use cases, and how they are supported by integration techniques such as virtualization, ETL, ELT, and agent-enabled pipelines
- Architectural patterns for data unification including distributed data fabrics, centralized data lakehouses, and hybrid architectures
- The influence of program design philosophies from centralized services to data mesh, and how they impact enterprise data integration
- Enabling data observability, governance, and quality through built-in metadata management and automation