Distributed Data Processing as a Fast, Reliable Hybrid Cloud Solution

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Charles David Snyder is an established Cleveland technology executive who serves as the vice president of business development Realogic Solutions and provides solutions focused on extending platform capacities. Among the areas in which C. David Snyder has an in-depth background is cloud computing, which is transforming how enterprises manage data and operations.

As highlighted in a TechCrunch article, one strategy employed by major corporations in implementing hybrid cloud systems is distributed data processing. This enables virtually any cloud infrastructure to be leveraged as part of a single database. This in turn allows the application to work seamlessly across both public and private clouds. As data flows between various private and public areas of the cloud, database security is automatically maintained. Featuring a peer-to-peer design, the database system is not vulnerable to crashing, even when problems occur within a specific cloud.

An example of this type of system is eBay, an online retailer that allows customers to instantly search through massive amounts of data and find specific items they are looking for. Customer search data is stored in ways that provide for shopper experience customization.

eBay’s requirement is for a stable, reliable, and comprehensive data management system. Its hybrid, distributed cloud database system involves the management of more than 200 TB of data across public and private clouds. With customer data stored and expanded across multiple data centers, the end result is that customers access a seamless exceptional e-commerce experience, while eBay distributes processing power in ways that ensure cost-efficiency.

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