阿里雲數據庫峯會：發佈首個一站式敏捷數據倉庫解決方案，實現庫倉一體數據分析能力

{"type":"doc","content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"9 月 26 日，以“數聚雲端·智馭未來”爲主題的阿里雲數據庫創新上雲峯會在北京舉行。阿里雲數據庫產品事業部負責人李飛飛、華東師範大學副校長周傲英等發表主題演講，共議雲原生數據庫 2.0 的發展、機遇與挑戰，以及一站式數據管理的最佳實踐。會上，李飛飛表示阿里雲將在今年的雲棲大會上開源雲原生分佈式數據庫 PolarDB-X，併發布 PolarDB 最新技術。此外，本次大會阿里雲還發布首個一站式敏捷數據倉庫解決方案。"}]},{"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":"據瞭解，該方案結合一站式數據管理平臺 DMS 及雲原生數據倉庫 AnalyticDB（簡稱：ADB），實現了庫倉一體的技術架構，提供在線數據實時入倉、T+1 週期性快照、按需建倉等能力，數據延時低至秒級，持續賦能業務在線化，令企業在線數據釋放最大價值。"}]},{"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":"此外，通過低代碼操作，阿里雲一站式敏捷數據倉庫解決方案大幅降低了實時數倉的構建難度和數據加工門檻，同時可支撐企業各類高頻、動態化的實時分析場景和需求，幫助用戶破解實時數倉建設難題，加速企業數字化轉型。"}]},{"type":"heading","attrs":{"align":null,"level":2},"content":[{"type":"text","text":"阿里雲發佈一站式敏捷數據倉庫解決方案"}]},{"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":"當前，隨着企業數字化程度加深，如何通過數據提升生產力是企業不斷探索的方向。作爲數據集成、開發和服務的核心載體，數據倉庫在其中發揮着關鍵作用。"}]},{"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":"傳統數據倉庫一般基於 T+1 數據集成構建離線數倉，以支撐企業各項分析與服務。傳統方案不但會影響線上業務穩定性，且難以支持企業的實時需求，隨着企業對於數據價值變現和應用的時效性要求越來越高，實時數倉應運而生。"}]},{"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":"傳統實時數倉構建方案通常難以滿足多源異構數據實時入倉的需求，同時數據處理鏈路較長，效率無法保證。阿里雲一站式敏捷數據倉庫解決方案基於阿里集團多年實時數倉建設經驗，結合一站式數據管理平臺 DMS 及雲原生數據倉庫 ADB，支持業務數據實時入倉+增刪改查、基於拉鍊表的 T+1 週期性快照等功能，充分滿足企業應用場景對生產數據進行實時分析的需求，如：促銷大屏、監控報表、精準營銷、交互式運營分析等。"}]},{"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":"相較於傳統方案，阿里雲一站式敏捷數據倉庫解決方案有以下 4 大核心優勢："}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"numberedlist","attrs":{"start":1,"normalizeStart":1},"content":[{"type":"listitem","attrs":{"listStyle":null},"content":[{"type":"paragraph","attrs":{"indent":0,"number":1,"align":null,"origin":null},"content":[{"type":"text","text":"對業務側影響小，不會因爲數據匯聚集中和實時加工影響業務側正常運行，CPU、內存佔用低於 5%。"}]}]},{"type":"listitem","attrs":{"listStyle":null},"content":[{"type":"paragraph","attrs":{"indent":0,"number":2,"align":null,"origin":null},"content":[{"type":"text","text":"事務順序和數據準確性有保障，且處理鏈路短，支持在線數據實時處理落倉，效率更高。數據傳輸效率 100m\/s，數據延時在 10 秒內。"}]}]},{"type":"listitem","attrs":{"listStyle":null},"content":[{"type":"paragraph","attrs":{"indent":0,"number":3,"align":null,"origin":null},"content":[{"type":"text","text":"支持複雜實時數據加工、計算邏輯。"}]}]},{"type":"listitem","attrs":{"listStyle":null},"content":[{"type":"paragraph","attrs":{"indent":0,"number":4,"align":null,"origin":null},"content":[{"type":"text","text":"低代碼操作，能夠大大降低實時數倉的構建難度，提升構建效率的同時，支撐企業數字化轉型過程中的各類實時場景。"}]}]}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"image","attrs":{"src":"https:\/\/static001.infoq.cn\/resource\/image\/aa\/a4\/aa0052271db7bceafffa06c425f005a4.png","alt":null,"title":"","style":[{"key":"width","value":"75%"},{"key":"bordertype","value":"none"}],"href":"","fromPaste":false,"pastePass":false}},{"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":"DMS 集成數據傳輸服務 DTS，可支持數十種數據源的存量數據+增量更新數據，實時同步到 ADB，確保實時數倉側數據與生產端保持一致。此外，DTS 支持在實時數據入倉、數據集成過程中，對數據進行實時加工處理，幫助企業降本增效。"}]},{"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":"同時，傳統數倉的週期性全量集成方案會對生產業務造成穩定性影響、全量集成時效性差、且無法滿足客戶針對任意時間點進行數據回溯的業務訴求。"}]},{"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":"針對 T+1 週期性集成場景，一站式敏捷數據倉庫解決方案支持基於拉鍊表的 T+1 全量數據快照，用戶通過簡單幾個步驟，即可按需生成各種週期的全量或增量快照。此外，業務還可按需進行任意時間點的數據回溯，以快速解決數據異常問題。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"image","attrs":{"src":"https:\/\/static001.infoq.cn\/resource\/image\/9f\/0c\/9f47794ba9d9110acd211f083d00ff0c.jpeg","alt":null,"title":"阿里雲資深技術專家、數據庫產品事業部生態工具部負責人陳長城","style":[{"key":"width","value":"75%"},{"key":"bordertype","value":"none"}],"href":"","fromPaste":false,"pastePass":false}},{"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":"阿里雲資深技術專家、數據庫產品事業部生態工具部負責人陳長城表示：“一站式數據管理 DMS 的目標是幫助企業在線數據價值最大化，企業通過一站式數據管理 DMS+ADB 可快速構建實時數倉，實現庫倉一體的技術架構。"}]},{"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":"相比傳統方案，可有效解決多種在線數據資產化的難題，實現按需建倉、數據集中和敏捷開發。藉助庫倉一體的 DMS 數據傳輸與加工鏈路，大大縮短數據流 ETL 鏈路，降低維護成本，通過數據開發進行靈活的任務編排和產品化支持 T+1 場景，可降低數據加工門檻，快速發揮企業在線數據價值。”"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"image","attrs":{"src":"https:\/\/static001.infoq.cn\/resource\/image\/a1\/7e\/a1a800fc1a9878c4386c68a30f3da27e.jpeg","alt":null,"title":"阿里雲研究員、數據庫產品事業部OLAP產品部負責人佔超羣","style":[{"key":"width","value":"75%"},{"key":"bordertype","value":"none"}],"href":"","fromPaste":false,"pastePass":false}},{"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":"阿里雲研究員、數據庫產品事業部 OLAP 產品部負責人佔超羣表示：“雲原生數據倉庫 AnalyticDB 以雲原生、數據庫與大數據一體化爲核心，支持一份數據多計算場景、全鏈路數據實時化等特點，支持結構化和非結構化數據融合分析，可實現超大規模實時增刪改查、高併發低延時的按需低成本複雜分析，助力業務實現敏捷、實時、智能的數字化創新。"}]},{"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":"阿里雲一站式敏捷數據倉庫解決方案，結合一站式數據管理 DMS+ADB 爲企業提供了敏捷的數據入倉、ETL管理、任務編排、資產管理等能力，將企業數據資產價值最大化，未來我們還將推出更多企業級的能力，歡迎大家關注。”"}]},{"type":"heading","attrs":{"align":null,"level":2},"content":[{"type":"text","text":"數據庫的未來：雲原生+分佈式是標配"}]},{"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":"當前，我國數據庫產業加速發展。中國信息通信研究院日前發佈的《數據庫發展研究報告（2021 年）》指出，當前新一輪科技革命迅猛發展，數據規模爆炸性增長，數據類型愈發豐富，數據應用快速深化。全球創新型數據庫產品快速湧現，市場格局劇烈變革，我國數據庫產業進入重大發展機遇期。"}]},{"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":"至於未來的數據庫發展將呈現哪些趨勢，李飛飛在會後接受採訪時表示，“未來的數據庫，雲原生+分佈式一定是標配，用雲原生的方式構建數據庫系統，同時，分佈式已經不是選項，而是必然。”"}]},{"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":"其次，未來的數據庫還將朝着更加智能化的方向發展，AI for DB，通過機器學習將數據庫運維管控智能化，這一點在雲原生+分佈式的前提下更加重要；DB for AI，需要具備面對越來越多非結構化數據的分析能力。"}]},{"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":"第三，需要具備安全性，確保數據庫系統在處理數據全鏈路過程中提供加密能力、多方安全計算能力以及隱私保護能力。"}]},{"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":"第四，支持多模數據處理，一些信息場景對新型數據庫多模態的處理 AIoT 場景非常重要。"}]},{"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":"第五，具備一站式在線數據處理平臺，數據之間實現打通，用戶只需管理一份數據。"}]}]}