EXECUTE- Technology Consulting

Our industry's hottest topic is about keeping up with Big Data

Big data is the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture, storage, search, sharing, transfer, analysis, and visualization. The trend to larger data sets is due to the additional information derivable from analysis of a single large set of related data, as compared to separate smaller sets with the same total amount of data, allowing correlations to be found to spot business trends through predictive analysis and data science.

Problem Statement
Worldwide, limits on the size of data sets that are feasible to process in a reasonable amount of time are on the order of exabytes of data. Data scientists regularly encounter limitations due to large data sets in many areas, including meteorology, genomics, complex physics simulations and biological and environmental research. The limitations also affect Internet search, finance and business informatics. Data sets grow in size in part because they are increasingly being gathered by ubiquitous information-sensing mobile devices, aerial sensory technologies (remote sensing), software logs, cameras, microphones, radio-frequency identification readers, and wireless sensor networks. The world's technological per-capita capacity to store information has roughly doubled every 40 months since the 1980s; as of today, every day 2.5 exabytes of data is being created. The challenge for large enterprises is determining who should own big data initiatives that straddle the entire organization.

Big data is difficult to work with using most relational database management systems and desktop statistics and visualization packages, requiring instead massively parallel software running on tens, hundreds, or even thousands of servers. What is considered "big data" varies depending on the capabilities of the organization managing the set, and on the capabilities of the applications that are traditionally used to process and analyze the data set in its domain. For some organizations, facing hundreds of gigabytes of data for the first time may trigger a need to reconsider data management options. For others, it may take tens or hundreds of terabytes before data size becomes a significant consideration.

How Exusia Can Help
Exusia’s team has been working with big data since before the phrase existed or caught world-wide attention. Our capabilities and experience go beyond the buzz words to practical experience in dealing with more than just analytical SLAs. Exusia has been at the forefront of some of the world’s largest data consumers and providers in dealing with sub-second decisions that are computed on top of massive parallel computing environments both in and out of the cloud. Exusia’s big data capabilities include:

  • Big Data Strategy and Reference Architecture Roadmap
  • Machine Learning Assessment and Roadmap
  • Hadoop Ecosystem Set-up and Pilot
  • Cloudera / MapR Consulting Services
  • Big Data Operational Monitoring Capabilities
  • Cloud / Stream Computing, continuous analysis of massive volumes of streaming data
  • Predictive Analytics; hidden pattern analysis to predict outcomes
  • Large Scale Data Warehousing
  • Information Integration and Governance

 

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