While
traditional data warehouses often took years to build, deploy, and reap
benefits from, today's organizations want simple, agile, integrated,
cost-effective, and highly automated solutions to support insights. In
addition, traditional architectures are failing to meet new business
requirements, especially around high-speed data streaming, real-time analytics,
large volumes of messy and complex data sets, and self-service.
DMA
(Data Management For Analytics) is a modern architecture that minimizes the
complexity of messy data and hides heterogeneity by embodying a trusted model
and integrated policies and by adapting to changing business requirements. It
leverages metadata, in-memory, and distributed data repositories, running
on-premises or in the cloud, to deliver scalable and integrated
analytics.
Oracle,
SAP, IBM, Teradata and Google are the leaders in “Forrester Wave™: Data
Management For Analytics, Q1 2020” Check out for Snowflake, AWS, Microsoft,
Mongo…
No comments:
Post a Comment