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A telecommunications company has a substantial amount of data. This data is being created by network elements within their environment. The company wants to change the way the network elements Call Detail Records (CDR) are stored and analyzed. The existing infrastructure consolidates all of the CDRs into a table structure, and then ingests them into a large database. Once ingested, a query engine accesses the database and performs analysis on these files. The system is functional; however, since the amount of CDRs generated will increase exponentially over the next year, the company is open to alternatives for storing and analyzing these records. In evaluating alternatives, the key requirements are to reduce cost, the amount of storage, and the amount of time to analyze the data. The customer would like to use Hadoop to analyze the CDRs. After you have conducted an assessment of the workflow, you have recommended an Isilon Cluster to work within the Hadoop environment. Which protocols would be the best fit when using Isilon for this customer's Hadoop workflow?
Direct Materials Price Variance
The difference between the actual cost and standard cost of materials used in production.
Direct Materials Quantity Variance
The difference between the actual quantity of direct materials used in production and the standard quantity expected, multiplied by the standard cost per unit.
Performance Evaluation System
A structured framework that systematically assesses and measures employee performance based on predefined criteria and objectives.
Bulk Purchase Discount
A reduction in price offered by suppliers to customers who buy large quantities of goods.
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