MapReduce solutions — Platform Computing

By: Platform  09-12-2011
Keywords: life sciences, File System, File Systems

Reporting and analysis drive businesses in making the best possible decisions. The source of all these decisions is data. With the explosion in data, capturing, managing and processing it at large scales has proved to be an issue using current tools and is referred to as the ‘Big Data’ challenge.

MapReduce based distributed data processing is fast emerging as a high priority for businesses and government agencies that wish to harness the intelligence from big data. Early adopters span various industry verticals including financial services, government, retail, and life sciences. MapReduce application use cases that are ideal for Platform MapReduce in these vertical markets include:

  • Financial Services - Compliance and regulatory reporting, fraud detection and security analytics, credit scoring and analysis, and trade surveillance.
  • Telecommunications – Revenue assurance and price optimization, customer churn prevention, and call detail record (CDR) analysis.
  • Government Agencies – Fraud detection and cyber-security, compliance and regulatory analysis, and energy consumption and carbon footprint management.
  • Life Sciences – Drug discovery and development analysis, and genome sequencing analysis.
  • Retail – Customer data and buying patterns analysis, product recommendation engines.

Platform Computing’s MapReduce solutions provide unique capabilities and are architected based on almost two decades of distributed computing research and development. Our distributed workload solutions provide for high scalability and fast performance through its low-latency distributed architecture while maintaining compatibility with Hadoop to leverage your IP investments. This solution maximizes the value of your information technology infrastructure by accelerating, sharing, and managing MapReduce applications efficiently.

The Platform MapReduce solution consists of:

  • Platform MapReduce product
  • Support for HDFS or other supported Distributed File Systems

Platform MapReduce delivers a robust architecture designed for high availability, utilization and throughput. It offers IT easy manageability and monitoring while providing sophisticated workload policies for multiple lines of business users and applications. Platform Computing also provides commercial support for the Hadoop Distributed File System (HDFS) when deployed with Platform MapReduce. In addition, customers can use Platform MapReduce with Appistry’s Cloud IQ or IBM GPFS.

More to come soon

Keywords: Distributed Computing, File System, File Systems, life sciences

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