Hadoop

 

Onfinitive delivers expertise for the distributed processing of large data sets across clusters of computers using simple programming models using Hadoop. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly available service on top of a cluster of computers, each of which may be prone to failures.

Services

 

Assessment of current technology environment

  • Identification of potential use cases
  • Discussion of desired big data outcomes
  • Architecture and platform recommendations to support business needs
  • Creation of detailed deployment plan
  • Future expansion planning
  • Solution design
  • Big data platform recommendations and deployment—from hardware and software recommendations to complete deployments
  • Review of data source details and availability
  • Review of data transformations needs
  • System architecture design
  • Deployment and configuration of big data technology components
  • Development of data models, data ingestion procedures, and data pipeline management
  • Data integration
  • Pre-production health checks and testing

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