Amazon Web Services Case Studies AWS Partner Story: Salesforce DMP
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AWS Partner Story: Salesforce DMP

Amazon Web Services
AWS Partner Story: Salesforce DMP - Amazon Web Services Industrial IoT Case Study
Application Infrastructure & Middleware - Database Management & Storage
Business Operation
System Integration

Salesforce DMP collects, stores and makes every piece of audience data continuously available to its clients, managing more than 10 petabytes of on-demand data.

This approach, however, puts enormous demands on the Salesforce DMP system to quickly and efficiently process massive quantities of data. Salesforce DMP needed tools to ensure it could deliver high return on investment to its clients while continuously developing and bringing new platform features to market.

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Salesforce DMP, formerly Krux, is the leading data management platform (DMP) that unifies, segments and activates audiences to increase engagement with users, prospects and customers. With Salesforce DMP, marketers can deliver more relevant and valuable customer experiences by capturing, unifying and activating data signatures across every device (desktop, mobile, tablet and set-top) and every channel (display, social, search and video) in real time. 

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Salesforce DMP 

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The AWS services help Salesforce DMP scale and deliver a highly flexible data-processing service to a global customer base. By using Apache Spark with Amazon EMR and AWS Data Pipeline, Salesforce DMP is able to increase the processing speed for its data science and ETL work by 100 percent.

 

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[Efficiency Improvement - Productivity]

By using AWS services, Salesforce DMP has seen an increase in the performance of its iterative jobs, making its systems faster and more efficient.

By using Apache Spark with Amazon EMR and AWS Data Pipeline, Salesforce DMP is able to increase the processing speed for its data science and ETL work by 100 percent.

Using Amazon EC2 Spot instances helps the company save up to 40 percent over Amazon EC2 Reserved-instance pricing and up to 80 percent over on-demand pricing.

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