解讀數據架構的2020：開放、融合、簡化

{"type":"doc","content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"strong"}],"text":"本文是 InfoQ“解讀 2020”年終技術盤點系列文章之一。"}]},{"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":"在數字時代，"},{"type":"link","attrs":{"href":"https:\/\/a16z.com\/2020\/10\/15\/the-emerging-architectures-for-modern-data-infrastructure\/","title":"","type":null},"content":[{"type":"text","text":"數據架構"}]},{"type":"text","text":"堪稱企業IT架構的大動脈。這個架構裏包括了諸多模塊：數據導入導出、處理、存儲、管理、查詢、應用和可視化。過去十年，整個數據架構發生了大幅的更新和改變，尤其"}]},{"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":"本文將簡要談談筆者所看到的2020年數據架構現狀和對未來趨勢的展望。"}]},{"type":"heading","attrs":{"align":null,"level":2},"content":[{"type":"text","text":"現狀：數據驅動、AI & ML、公有云、雲原生、開源成爲主流"}]},{"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","text":"毋庸置疑，2020年是里程碑的一年。在全球疫情大流行的陰影籠罩下，傳統經濟形態受創嚴重，由於各國的封城政策，實體經濟要不擁抱數字經濟，與互聯網融爲一體，要不就歇業甚至倒閉。“ 兩年的數字化轉型在兩個月完成了”，微軟CEO Staya Nadella在年初"},{"type":"link","attrs":{"href":"https:\/\/seekingalpha.com\/article\/4341291-microsoft-corp-msft-ceo-satya-nadella-on-q3-2020-results-earnings-call-transcript?part=single ","title":"","type":null},"content":[{"type":"text","text":"如是說"}]},{"type":"text","text":"。阿里巴巴這幾年也一直強調自己是一家"},{"type":"text","marks":[{"type":"strong"}],"text":"數據公司"},{"type":"text","text":"。在數字化的大背景下，數據驅動、人工智能和機器學習已經成爲公司能否脫穎而出的標配。智能推薦、異常檢測、日誌分析這些典型的智能應用已經成爲數字架構的基本應用場景。根據"},{"type":"link","attrs":{"href":"https:\/\/business.linkedin.com\/talent-solutions\/emerging-jobs-report#select-country\/two-zero-two-zero ","title":"","type":null},"content":[{"type":"text","text":"領英的2020新興職業報告"}]},{"type":"text","text":"，數據科學家、數據工程師和人工智能專家在各個國家都炙手可熱。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}}]}