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Accelerating migration to AWS cloud

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Karthikeyan Murugesan

Data and Enterprise Architect, AWS business unit

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Enterprises are looking to process data in real-time with advanced analytics to support agile decision making. Data access controls, security and data loss management are some vital parameters ensuring data integrity on cloud. Enterprises are moving towards a machine learning-driven data paradigm. Enterprises can choose bespoke lift-and-shift, move-tomanaged, or migrate-and-modernize paths to AWS cloud. Enterprises must make a planned and strategic shift of data to cloud.

Enterprises can choose a suitable data platform on AWS that supports data types like relational data, key-value driven, document, in-memory, graph, time-series and ledgers. The benefits include:

  • No upfront payment
  • Pay only for what you consume
  • Save up to 30% costs over capex
  • Eliminate overprovisioning costs
  • Align IT cost to business demand

 

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