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。
可以從大數據的收集和分析中受益的組織包括銀行、教育、政府、醫療保健、製造和零售行業等。
• 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。
可以從大數據的收集和分析中受益的組織包括銀行、教育、政府、醫療保健、製造和零售行業等。
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