ForSMedia Gains up to 80x Performance Increase Running with Oracle Exalytics In-Memory Machine and Oracle Big Data Appliance
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ForSMedia Achieves Oracle Exalytics Optimized & Oracle Big Data Appliance Optimized Status
FORS Development Center today announced it has earned Oracle Exalytics Optimized and Oracle Big Data Appliance Optimized status through Oracle PartnerNetwork (OPN), demonstrating that ForSMedia version 2.3 has been tested and tuned on Oracle Exalytics In-Memory Machine and Oracle Big Data Appliance to deliver speed, scalability and reliability to customers. ForSMedia version 2.3 is an application developed by FORS Development Center for automated massive enrichment of customer profiles based on social networks data. It is designed to process a large number of initial customer records and extract new knowledge about these customers from the popular social media. Data discovery tools are provided to combine a wide variety of internal and external marketing and sales data to explore and visualize and identify patterns across sentiment, segmentation, campaigns, advertising, promotions, and purchasing behavior. FORS Development Center is a Platinum level member of Oracle PartnerNetwork.
The following objectives were defined for the proof of value testing: to shorten the sales and product deployment cycles, to target mid/large and territory customers, through improved capacity and to build the customer SLA based on world best practices. The most crucial ForSMedia functions were selected for testing on Oracle Exalytics In-Memory Machine and Oracle Big Data Appliance, including customer identification in social networks, data acquisition and enrichment, loading to a Data Discovery platform with the further data analysis and visualization.
The test results revealed 20x faster performance of social media data loading & parsing with 10 000 customer profiles identified in 1,5 min instead of 2 hours on baseline system. Data and text enrichment ran 10x faster along with 10x larger amount of data processed at data discovery server. An average response time was reduced at least 2x. Testing was completed in 15 days.
ForSMedia is based on Big Data Technologies, using Cloudera Distribution of Apache Hadoop (CDH) and Oracle Endeca Information Discovery. The current version ForSMedia 2.3 is working on Oracle Linux 6.x and certified for CDH 5.x and Oracle Endeca Information Discovery 3.1.
Oracle Exalytics Optimized and Oracle Big Data Appliance Optimized are part of the Oracle Exastack Optimized program which allows partners, such as FORS Development Center, to leverage OPN enablement resources and dedicated lab environments to help develop, test and tune their applications on Oracle Exadata Database Machine, Oracle SuperCluster, Oracle Exalogic Elastic Cloud, Oracle Exalytics In-Memory Machine, Oracle Database Appliance and Oracle Big Data Appliance engineered systems. Built using industry-standard hardware, market-leading business intelligence software and in-memory database technology, Oracle Exalytics is an optimized system pre-integrated to reduce the cost and complexity of an organization’s IT infrastructure, while dramatically increasing productivity and performance. Oracle Big Data Appliance is an engineered system that delivers comprehensive and secure big data capabilities and is integrated, optimized, and tuned to shorten deployment times and reduce cost and risk.
“The outstanding results of ForSMedia testing on Oracle Exalytics In-Memory Machine and Oracle Big Data Appliance prove big advantages of these engineered systems and enable us to promote our Big Data solution to financial companies, retail, telco and other industries”, — remarks Alexey Golosov, President of FORS.
“Oracle Exastack Optimized recognizes partners who have optimized their solutions on a complete, integrated and cloud-ready infrastructure in order to help them accelerate innovation, unlock new features and functionality, and deliver superior value to users,” — said David Hicks, Vice President, Worldwide ISV, OEM and Java Business Development, Oracle.