Question

Course: Big Data Processing

Why is the most basic Hadoop deployment at least using Virtualization, what happens if we implement Hadoop Without Virtualization, is it possible? What are the consequences if you install Hadoop on a dedicated server?

Answer 1

Hadoop is a framework for implementing reliable and scalable networks. whole systems in Hadoop deployment provides secure shell access for data transfer.

Virtualization can provide higher hardware utilization by uniting multiple Hadoop clusters and other workloads on the same physical cluster. The main strength behind virtualization hosted Hadoop is that a single image can be cloned lower operations costs, clusters can be set up on demand, can be reused the Physical infrastructure, and only need to pay for the CPU time.

actually, Virtual Hadoop is compelling. if we don't implement Hadoop without virtualization, we can't easily Identify performance, and face low availability, and fault tolerance decrease downtime.

Limitations behind installing Hadoop on a dedicated server is that Networking may be slower and throttled by the infrastructure provider, increased cost, do not have physical access to the server, For public cloud, reducing performance and compensate by allocating more VMs.

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