sponsored by IBM
Posted:  03 Dec 2012
Published:  31 May 2012
Format:  PDF
Length:  12  Page(s)
Type:  White Paper
Language:  English

Bioinformatics organizations are exploiting highly scalable, low-cost parallel and distributed computing technologies such as MapReduce to handle the tremendous amounts of data and complex analyses that are required to advance genomic research.

As firms experiment with data center architectures, those that leverage both private and public clouds and feature service-oriented architecture (SOA) interoperability are showing to enable the greatest resource utilization and performance.

Read this white paper to discover:

  • The advantages of a hybrid cloud MapReduce architecture for bioinformatics computing
  • Which open source big data analytics platforms and cloud technologies¬†have captured the most attention in¬†initial experimentation
  • Best practices to optimize deployment and management
  • And more.

Apache | Distributed Computing | Hybrid clouds | Parallel Processing | Private cloud computing | Public cloud computing | Real-time Analytics | SOA

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