Understanding AWS Big Data Services available in the Cloud

Amazon Web Services is the cloud platform which allows you to handle the Big Data. Whether it is structured or unstructured data, AWS enables you to collect, store, process, analyze and visualize Big Data on the cloud. Irrespective of the three V’s (Volume, Velocity and Variety) of the Big Data, you can build any application and support any type of workload.

There are many Amazon Web Services that are available for Cloud users to manage and use their Big Data. The most widely used services are Amazon Elastic MapReduce (Amazon EMR), Amazon Kinesis, Amazon S3, Amazon Redshift, and Amazon DynamoDB.

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Leverage High Performance Cloud Computing for your Business

High-performance computing (HPC) is the use of parallel processing for running advanced application programs efficiently, reliably and quickly. While this term refers in general to the computing power required to perform high data computation, you can occasionally use it as a synonym for supercomputing.

In the cloud environment, High-performance cloud computing (HPC2) is a type of Cloud Computing solution that incorporates standards, procedures and elements from cloud computing. HPC2 defines the techniques for achieving computing operations that match the speed of supercomputing from a cloud computing architecture.

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Importance of Cloud Metrics

Cloud Metrics are one of the great ways to optimize the cloud benefits for your business. If you want to launch a cloud application or migrate a project to the cloud, you need a cloud provider such as Amazon Web Service or Microsoft Azure to match your performance levels.

Whether you are engaged in a cloud migration project or looking to start fresh with a brand new cloud implementation, you will need to match your workload performance to the cloud provider that best suits your needs without overspending. Cloud computing performance benchmarks are the perfect way to compare pricing with performance.

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