Cloud Solutions
Why organizations should choose cloud for their data needs.

Data evolves FAST
Enterprise infrastructures are changing rapidly as the management and visibility requirements of modern, data-driven applications, are outpacing legacy data storage functionality. All the while, artificial intelligence and machine learning are driving an explosion in data volume and variety, which is outgrowing existing frameworks.
Elasticity is required
Modern data applications create processing workloads that require elastic scaling, meaning compute and storage needs change frequently, and independently of each other. The cloud provides the flexibility to accommodate this type of elasticity, ensuring the computing and storage resources are available to ensure optimal performance of data pipelines under any circumstances.
Different needs at different times
Many new generation data applications require data workflows to process increased traffic loads at certain times, yet have little need to process data at other times. The cloud provides an agile, scalable environment that helps future-proof against these unpredictable increases in data volume, velocity, and variety, and only require payment for what you use.
Hybrid cloud is still cloud
For organizations that handle sensitive, personal information (social security numbers, health records, financial details, etc.) and worry about cloud-based data protection, adopting a hybrid cloud model allow enterprises to keep sensitive workloads on-premises while moving additional workloads to the cloud. Organizations should realize, they don’t have to be all in or out of the cloud.
Resources
Agarwal, Kunal. “Why CIOs Are Betting on Cloud for Their Modern Data Programs.” Network Computing, 5 July 2019, www.networkcomputing.com/cloud-infrastructure/why-cios-are-betting-cloud-their-modern-data-programs.
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