Winning in the New Era of Data Management
In the data-driven age, information is as valuable as currency. Entire industries are being disrupted by new data sources, emerging technologies and tech-native startups. Harnessing more data from more sources to provide actionable insights more quickly and cost-effectively is the key to outpacing the competition.
As organizations evaluate IT strategies for harnessing data, it's clear that running traditional data warehouses and databases on isolated infrastructure is an untenable IT model in the era of petabyte data stores and real-time analytics.
This paper explores the ramifications of data gravity, the possibilities of SQL Server 2019 data virtualization and outlines considerations for building an agile IT foundation for the new era of data management.
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Related Categories: AIM, Analytics, Applications, Artificial Intelligence, Backups, Big Data, Cloud, Data Analytics, Data Center, Data Centers, Data management, Data Replication, Data Warehousing, Databases, Digital transformation, Disaster Recovery, ERP, Fibre Channel, Hardware, Hybrid Cloud, Linux, Machine Data, Machine Learning, Mobile Devices, Network, Operating System, Processors, RAID, SAN, Server, Software, Storage, Virtualization, Windows Server
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