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วารสารราชบััณฑิิตยสภา
                                        ปีีที่่� ๔๕ ฉบัับัที่่� ๑ มกราคม-เมษายน ๒๕๖๓
           246                                                 ข้้อมููลข้นาดใหญ่่ : เทคโนโลยีีและการใช้้ประโยีช้น์



             Abstract: Big Data: Technologies and Utilizations
                        Professor Dr. Wanlop  Surakampontorn
                        Associate Fellow of the Academy of Science,
                        The Royal Society of Thailand.
                              This article firstly outlines the development of digital technology that
                        connected the world of information into one system. It then discusses data in
                        the era of digital technology that are generated in the Internet system, which

                        is referred to as big data. The big data is imported in various forms as: the
                        data which are the structured data, such as tables, graphs, or charts, and
                        the unstructured data, such as voice, text, images, or video. Generally, big data
                        is the data that consists of five main characteristics, namely: Volume, Velocity,
                        Variety, Veracity and Value.  The term big data also refers to technology-related
                        analysis, systematic data extraction or management with large and complex
                        data sets beyond being managed by usual software or data processing devices.

                        The ecosystem of big data analytic is also discussed, which consists of high-
                        performance computers, large storage and backup system and software
                        program for the analysis. However, an organization may not need to have their
                        own infrastructure, but can rely on cloud-based computer technology. The
                        cloud computing technology provides services that cover the use of the
                        processor, online storage and software tools. This technology enables small
                        organizations to install their own data analytic system that saver time and
                        reduces cost. The sequence in which data is analyzed is also outlined.
                        Examples that overview the use of big data technology to drive the

                        organization activities are given, and also examples of companies or service
                        units that driven by large data technology are reviewed.

                        Keywords: digital technology, Internet of Things, data analytics
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