The Future of Analytics: Cloud Data Warehouses, Data Lakehouses, and More
Join us for this roundtable webinar where industry experts will explore how modern data architectures are transforming analytics, driving real-time insights, and enabling AI advancements to meet today’s most critical business needs.
The future of analytics is evolving rapidly as organizations work towards building more integrated, scalable, and real-time data ecosystems that support improvements in operational efficiency and business decision-making, as well as the development of AI capabilities.
This is why we’re seeing a continued increase in the adoption of modern data architecture patterns such as cloud data warehouses, data lakehouses, and real-time unified platforms. What these approaches all share in common is an attempt to solve the limitations of traditional data architecture by offering users greater flexibility, scalability, and agility. To succeed both now, and in the future, requires addressing a number of critical needs, including:
- Integrating data from multiple, diverse sources and avoiding data silos
- Supporting different workloads – batch, streaming, real-time, AI/ML – performantly and cost-effectively
- Ensuring high-quality data across multiple systems, especially as data pipelines grow in complexity
- Establishing frameworks and automation for consistent governance across complex data environments