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Big Data for Government Drives Improvements in Cybersecurity and Service Delivery

The data generated by all of a government organization's applications, servers and network devices is an insurmountable amount of information. The output of these systems resides in a wide variety of disconnected silos and frequently discarded. The correlation of these massive silos of data is likely not possible or technically feasible. This is the big data dilemma.

Unlocking the value an organization's data represents a big opportunity for government. Learn about four capabilities that a big data strategy must incorporate to drive improvements in cybersecurity and service delivery:

  1. Data ingestion from disparate sources and datastores, including Hadoop and relational databases
  2. Support for a wide variety of big data-influenced use cases: security, compliance, IT operations, application management, real-time analytics
  3. Analysis and visualization that leverages real-time data correlation
  4. Scalability to collect tens of terabytes of data per day and analyze petabytes of data at rest
A forward-thinking big data strategy can help government agencies use massive amounts of data to support new services, create efficiencies and better understand citizen needs.

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