Gartner 報告最新解讀：數倉 or 數據湖？

{"type":"doc","content":[{"type":"heading","attrs":{"align":null,"level":2},"content":[{"type":"text","text":"數據湖已成爲行業數據架構的主流"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"strong"}],"text":"什麼是數據湖？"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"數據湖是一個集中式存儲庫，允許企業以任意規模存儲所有結構化和非結構化數據。企業可以按原樣存儲數據（無需先對數據進行結構化處理），並運行不同類型的分析 – 從控制面板和可視化到大數據處理、實時分析和機器學習，以指導做出更好的決策。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"近十年，數據基建市場在蓬勃增長， "},{"type":"text","marks":[{"type":"strong"}],"text":"根據 Gartner 報道，2019 年數據基建方面的採購費用飆升到 660 億美元，佔據基礎架構類軟件費用的 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"},{"type":"text","marks":[{"type":"strong"}],"text":"數據湖已成爲數據分析架構中的中流砥柱，赫然在列數據分析架構的核心位置。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"image","attrs":{"src":"https:\/\/static001.infoq.cn\/resource\/image\/f5\/11\/f5d6c0fa0106df7ba3bd6c9byy19a511.png","alt":null,"title":null,"style":[{"key":"width","value":"75%"},{"key":"bordertype","value":"none"}],"href":null,"fromPaste":true,"pastePass":true}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"（圖片來源："},{"type":"link","attrs":{"href":"https:\/\/a16z.com\/2020\/10\/15\/the-emerging-architectures-for-modern-data-infrastructure\/","title":"","type":null},"content":[{"type":"text","text":"https:\/\/a16z.com\/2020\/10\/15\/the-emerging-architectures-for-modern-data-infrastructure\/"}]},{"type":"text","text":"）"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"亞馬遜，微軟等大型公有云廠商也相繼推出了以其對象存儲爲核心的數據湖方案，數據湖已經成爲業界事實標準的新型數據平臺架構選擇。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"image","attrs":{"src":"https:\/\/static001.infoq.cn\/resource\/image\/99\/dc\/997ec28695baa1868cecafc296187ddc.png","alt":null,"title":null,"style":[{"key":"width","value":"75%"},{"key":"bordertype","value":"none"}],"href":null,"fromPaste":true,"pastePass":true}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":"center","origin":null},"content":[{"type":"text","text":"AWS 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在服務企業時作爲查詢加速方案用戶用於服務多家企業實現不同的應用場景，讓我們來看一下一些企業在落地查詢加速方式時的實際案例。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"heading","attrs":{"align":null,"level":3},"content":[{"type":"text","text":"場景 1：賦能數據平民分析師"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"平民數據分析的概念來自 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整合各個業務條線的數據源，實現全渠道的整合分析，利用雲上服務的靈活可擴展性，彈性支持業務分析需求的波動，並能支撐到細粒度的數據分析需求，終端業務用戶僅需要使用 Excel 就可以對接數據服務完成分析，升級切換該架構後，用戶無感知，不需要話費額外的學習成本，從而提高了服務的推廣效率。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"heading","attrs":{"align":null,"level":2},"content":[{"type":"text","text":"小結"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"通過閱讀 Gartner 的這份報告，我們可以看到一個新的數據分析細分市場正在興起。對於企業來說，在數據量指數級增長、數據分析需求日趨複雜的大趨勢下，如何制定一份可順應變化的技術架構，除了考慮企業自身架構的現狀外，可以參考 Gartner 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