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Book Overview & Buying
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Table Of Contents
Network Architect's Handbook
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Cloud computing solves several critical problems in the realm of IT and technology. Let’s consider the following scenario regarding data analytics:
Data-intensive projects, such as a scientific research initiative, where massive amounts of data need to be ingested, analyzed, and stored.
From the perspective of a network architect, what would be required to build a data-centric architecture to support this initiative on-premises? We’ll need the building blocks: network (fabric), compute, storage (DBs, SAN, NAS, etc.), software (OS, virtualization, middleware, patches, etc.), and data applications (processing, analytics, correlations, home-grown). Let’s keep it at this for now and break down each:
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