Most data-driven enterprises continue to struggle to generate the insights they need from their data. More data volumes from more data sources, combined with escalating user concurrency, have led to declining query performance and skyrocketing data warehouse costs. Moreover, modern use cases such as customer-360 and hyper-personalization have blurred the boundaries between operational and analytics systems, making even greater demands on data warehouse solutions. This session will cover: What trends and use cases are driving the explosive demand for cloud-based analytics compute power. A review of the evolution of data warehouse solutions, their breakthroughs and drawbacks. A description of the essential requirements needed to provide for enterprise scale and new analytics-intensive use cases. A peek behind the curtain of the Actian Avalanche Cloud Data Warehouse managed service.
Topic: Cloud, Cloud Data, Data Management, Big Data