爲什麼阿里雲要做流批一體？

{"type":"doc","content":[{"type":"blockquote","content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"流批一體已經從理論走向實踐，並在2020年迎來落地元年。"}]}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":" "}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"短短5年，Apache Flink（下稱Flink）從一個突然出現在大數據舞臺的“萌新”系統，迅速成長爲人人皆知的流計算引擎。"}]},{"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":" 在伴隨Flink發展掀起的這波實時計算浪潮裏，阿里是國內走得最前、做得也最多的一個，“流批一體”是它的新賽道。今年雙11， Flink 流批一體開始在阿里最核心的數據業務場景"},{"type":"link","attrs":{"href":"https:\/\/mp.weixin.qq.com\/s\/oKkbIsM2f4FA8ZU4IUdYFQ","title":"","type":null},"content":[{"type":"text","text":"嶄露頭角"}]},{"type":"text","text":"，並抗住了40 億條／秒的實時計算峯值。"}]},{"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":"這是第一次有互聯網超級大廠真正在覈心數據業務上規模化落地流批一體技術。同時，這也意味着Flink在阿里的發展已經進入第二個階段，從全鏈路實時化進階到全鏈路流批一體化。"}]},{"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":"恰逢2020年Flink Forward Asia大會召開之際，InfoQ對Apache Flink中文社區發起人及阿里雲實時計算負責人王峯（花名莫問）、阿里雲實時計算團隊資深技術專家楊克特（花名魯尼）、天貓大數據負責人黃曉鋒進行了獨家專訪，希望從多個角度更完整地還原Flink流批一體在阿里落地的過程和背後的技術挑戰，並深入探討這個新賽道對於阿里雲的價值和未來發展方向。"}]},{"type":"image","attrs":{"src":"https:\/\/static001.infoq.cn\/resource\/image\/33\/ae\/33438df864f11afa060c4fe62c4334ae.jpg","alt":null,"title":"","style":[{"key":"width","value":"75%"},{"key":"bordertype","value":"none"}],"href":"","fromPaste":false,"pastePass":false}},{"type":"heading","attrs":{"align":null,"level":2},"content":[{"type":"text","text":"從理論到落地"}]}]}