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8K Miles' Response to RFP - NCPA

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Using this framework helps organizations make intelligent decisions by answering questions that<br />

arise in day-<strong>to</strong>-day operations. Executives are no longer limited by information in their<br />

databases. Using computing power at their disposal, they can populate their databases on demand<br />

with relevant data <strong>to</strong> answer the question and get answers in minutes.<br />

<strong>8K</strong>Miles data analytics framework will tailor Region 14 and <strong>NCPA</strong> members’ data pipeline by<br />

combining the AWS Hadoop offering (EMR), Hadoop ecosystem <strong>to</strong>ols available such as Hive,<br />

and new-generation Extract Transform and Load (ETL) <strong>to</strong>ols like Talend <strong>to</strong> populate AWS<br />

Relational Database Service (RDS) and AWS DynamoDB, a highly scalable, fully managed<br />

NoSQL database service. The AWS RDS can be Oracle, Microsoft SQL, or MySQL database<br />

that the existing Business Intelligence and Analytics <strong>to</strong>ols in the cus<strong>to</strong>mer environment can<br />

consume, or <strong>8K</strong>Miles can build cus<strong>to</strong>mized dashboards from data in RDS and DynamoDB.<br />

<strong>8K</strong>Miles will work with the domain experts within Region 14 and <strong>NCPA</strong> member organizations<br />

<strong>to</strong> build algorithms that enable using the massively parallel computing mechanism employed by<br />

EMR. In practical terms, a problem that would require a thousand hours of computation can be<br />

completed in one hour with thousand machines, ten hours using hundred machines, or hundred<br />

hours using ten machines. This allows Region 14 and <strong>NCPA</strong> members <strong>to</strong> process large amounts<br />

of data and make decisions quicker by paying the same amount for using a thousand machines<br />

for one hour and getting an answer <strong>to</strong> a large problem in one hour. This can be further reduced <strong>to</strong><br />

minutes by adding more compute capacity if needed.<br />

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As Region 14 and <strong>NCPA</strong> members embrace Big Data solutions <strong>to</strong> improve their service, they<br />

will often need <strong>to</strong> use existing data in their data centers for this purpose. Access <strong>to</strong> this data must<br />

be secure and reliable with low latency between transfers. The AWS Direct Connect offering<br />

provides a means for this; however, the service is only available at selected colocation facilities<br />

with which AMS has partnerships. Region 14 and <strong>NCPA</strong> members that wish <strong>to</strong> employ this

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