Use Cases
Use Cases
“Big Data” is emerging and real. For most organizations, reporting and analysis drive businesses in making the best possible decisions. The source of all these decisions is data. There are two main types of data: structured data such as traditional databases and data warehouses, and unstructured data, such as log files, emails and online transaction data. Some unstructured data can become “Big Data” as the volume of that data becomes substantial - far bigger than data warehouses. The explosive growth of unstructured data poses a new challenge as the volume and diversity s outstrip the capabilities and capacities of traditional technologies. Because of this, many organizations are exploring next generation technologies for analyzing, processing and reporting on unstructured data. One of the most promising technologies is open source Apache Hadoop software and the associated MapReduce programming model. However, the open source Hadoop implementations lack the necessary enterprise robustness and the required production ready capabilities for organizations to move their MapReduce workloads into production.
To address the challenges of moving MapReduce applications into production, Platform Computing is now bringing its enterprise-class workload management capabilities to the “Big Data” environment. The solution, Platform Symphony MapReduce is designed as the “best-of-breed” distributed runtime engine for MapReduce workloads. Built on the same core technologies that are powering many of the Fortune500 companies for their most demanding, mission critical applications, Platform Symphony MapReduce provides true enterprise-class distributed runtime capabilities to MapReduce applications by delivering high resource utilization and predictability, high availability, faster performance, enterprise-class manageability and security. As result, customers benefit from higher return on investment and faster discovery through “Big Data”.
Platform Computing’s solutions are already in use in key markets where MapReduce will be required. Early adopters span various industry verticals including financial services, government, retail, and life sciences. Platform also has a strong foothold in key ISV customer bases in the business intelligence market, such as SAS customers. MapReduce application use cases that are ideal for Platform Symphony 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 next generation genome sequencing analysis.
