Moving to a Cloud Data Warehouse on Amazon Redshift
The challenge for today's enterprises is to extract the most value from their data. To do so, companies are moving their analytics workloads to the cloud and modernizing their applications, with the goal of extracting that value with increased efficiency, productivity, and cost savings. Companies are moving to the cloud because their legacy on-premises systems are often burdened by inefficient processes and lack the agility to quickly deliver the time-sensitive data insights required to keep companies competitive. According to a recent survey, 85% of businesses want to be datadriven but only 37% have been successful.
As companies develop their cloud journey roadmaps, data integration becomes critical for business agility and data quality for business insights.
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Related Categories: Analytics, Applications, Big Data, Cloud, Cloud Computing, Collaboration, Connectivity, CRM, Data management, Data Synchronization, Data Warehousing, Databases, Digital transformation, Enterprise Cloud, ERP, Hybrid Cloud, Network, SaaS, Server, ServiceNow, Software, Storage
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