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Big Data Consulting

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Today, businesses of all sizes must make more data-based decisions than ever before to stay competitive. Large amounts of data, including those generated by the user or customer interactions, connected social media, devices, and hardware, can provide extraordinary insight and intelligent intelligence when properly analyzed. This insight can help companies increase profitability, business growth, and service quality, improve product offerings, and make smarter business decisions.

Cloudaeon enables analysis of customer data through its Big Data Services, including:

  • Data analysis and evaluation
  • Data integration
  • Data retrieval
  • Data architecture
  • Corporate data storage
  • Support for large data platforms

Big Data Consulting and Assessments

Although companies currently have a lot of data, they can rarely adopt approaches to using and analyzing this data to gather business information and information. The Big Data Advisory Service from Cloudaeon can help these organizations to start and implement their

  • Big Data strategy
  • Architectural overview
  • Planning and administration
  • Data analysis
  • Standardization platform

Platform Services and Implementation

Using and analyzing available data to solve business problems requires experience in implementing platforms and tools. Cloudaeon works as partners with customers to ultimately provide big data and analytical solutions selected.

Big Data Managed Services

As companies continue to use different customer interaction mechanisms, the volume, structure and data sources continue to increase. These improvements must be integrated seamlessly into the existing big data ecosystem, which requires optimal daily management across platforms and applications. Platform support includes MapR management, cluster, and node monitoring, high availability cluster support, upgrades and patches Application support, including monitoring Hadoop work, application enhancements, and ongoing application support Expand resources with big data consultants (to support Hadoop tools), jobs, new installations, application developers, and data scientists (to create data tools and support developers)

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