Published: 10 October 2022
In 2023, organizations will seek scalable data management and robust governance solutions to support evolving use cases. Data and analytics technical professionals must solicit new patterns, practices and frameworks to deploy effective cloud, edge and hybrid data management architectures.
Delivering business outcomes requires a modern data management architecture supported by on-premises, cloud, hybrid and edge-based systems. It also requires frictionless data management and integration. These imperatives lead to complex deployments.
Rising cloud adoption is presenting innovative ways to drive efficiency, optimization and cost savings. Additionally, cloud data management is facilitating a shift toward a converged data architecture that combines the capabilities of the data lake (DL) and the data warehouse (DW) on a single data platform.
Data and analytics (D&A) governance not only enables regulatory compliance, but also delivers competitive advantage and business value.
Rich metadata now underpins data management
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