Big Data | 大數據

  • 大數據是什麼?
    大數據(Big Data)代表了企業每天收集的大量資料(包括結構化、半結構化和非結構化資料)。此資料可以由使用者(如客戶的財務交易資料)以及機器和流程(如感應器數據和事件日誌)生成。大數據就字面上便可以理解其龐大的資訊量,隨著時間推移擷取的數據有可能從TB、PB甚至達到EB等級。

  • 你為什麼需要它? 誰需要它?
    大數據的重點不在於擁有多少資料,而是如何運用這些龐大的資料庫 — 越龐大的資料庫具有更巨大的潛力,可以進行數據分析,從而做出更好的決策,包括降低成本、節省時間、增加產品開發和更準確的戰略決策。可以舉例如下:

    • 在近乎實時(real time)的狀態下確認各種故障、問題事件和缺陷的根本原因。
    • 依據客戶的購買習慣在銷售時自動產生相對應的優惠券。
    • 在數分鐘內重新計算整體風險組合。
    • 根據金融交易的過程即時檢測欺詐行為。


  • 技嘉的特色
    GIGABYTE 擁有多種伺服器解決方案,可提供儲存和分析組織大數據所需的後端伺服器基礎架構。

    GIGABYTE 的S系列儲存伺服器提供高密度的3.5英吋硬碟容量,可為您的原始資料提供 PB 級儲存,無論是作為單純硬體與您選擇的軟體結合使用,還是作為整合式軟體定義儲存裝置像是BigTera軟體定義儲存解決方案

    此外,GIGABYTE 的R系列機架式伺服器H系列高密度伺服器提供了一系列具有強大運算和熱儲存功能的系統,用於分析和處理這些資料。

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    To Empower Scientific Study, NTNU Opens Center for Cloud Computing
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