Big Data | 大數據

  • What is it?
    Big Data describes the large volume of data – both structured, semi-structured and unstructured – that is collected by a business on a daily basis. This data can be generated by both humans (such as a customer's financial transactions), as well as by machines and processes (such as sensor readings and event logs). By its nature, the amount of Big Data is often massive – ranging from terabytes, petabytes and even exabytes of data captured over time.

  • Why you need it? Who needs it?
    The importance of Big Data doesn't revolve around how much you have, but what you do with it – the vast pool of data has an enormous potential to be analyzed for insights leading to better business decisions, which include enabling cost reductions, time reductions, new product development, and smart strategic decision making. Examples could include:

    • Determining root causes of failures, issues and defects in near-real time.
    • Generating coupons at the point of sale based on the customer's buying habits.
    • Recalculating entire risk portfolios in minutes.
    • Detecting fraudulent behavior in real time based on financial transactions.

    Organizations that can benefit from the collection and analytics of Big Data include those in banking, education, government, health care, manufacturing and retail industries.

  • How is GIGABYTE helpful?
    GIGABYTE has a large variety of server solutions that provide the back-end server infrastructure needed to both store and analyze your organization's Big Data.

    GIGABYTE's S-Series Storage Servers provide dense 3.5" HDD capacity to provide petabyte scale storage for your raw data, both as bare metal hardware combined with your software of choice or as an integrated software defined storage appliance with BigTera VirtualStor or Alcestor MooseFS storage platforms.

    In addition, GIGABYTE's R-Series Rackmount Servers and H-Series Hyper-Converged Systems provide a range of systems with powerful compute and hot-storage capabilities to analyze and process this data for generating intelligent business insights.

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