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Data Storage Process with Advanced Cloud Infrastructure

The world is currently at a crossroads in terms of infrastructure and technology that will enable the future of the cloud. Young cloud-based software and service providers are joining the league of well-established enterprises. They are at the forefront of a new cloud-first trend fueled by data analytics and cutting-edge methods for accessing and governing data. In reality, technology is advancing every company towards the ultimate realization of the cloud transformation promise. This article in The Data Administration Newsletter by Bonnie O’Neil discusses the data storage process with edge computing.

Edge Computing and Data Storage Process

Next-generation digital business applications are a reality due to edge computing, which also supports a multitude of application types. This augments and extends the possibilities of today’s most centralized, hyper-scale cloud models. Today, every company is in the data business and must adopt data storage processes. With the new cloud-edge environment, enterprises can now leverage the power of data analytics. The array of data solutions, from edge-based home thermostats and tactical warfighters to hyper-scale cloud data centers, emphasizes the classic question, “What data flows where and how?” Utilizing cloud services that rely on transferring both online and offline data is now possible in significantly efficient ways.

Data Movement

Data movement problems can gain a more comprehensive view by examining variables such as the size, frequency, and network capacity available for data transfer between edge and cloud. Many types of data movement solutions are available based on the quality of service, latency, self-healing engineering, dynamic provisioning, distributed data experiences, risk management, and security.

Major Options Supporting Data Movement:

  • Offline transfer using a shippable device
  • Online transfer
  • Web-based and graphical interface tools
  • Scripted and programmatic tools
  • Managed cloud-native data pipelines
  • Object replication

In addition, the author discusses the key elements defining data movement solutions.

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