为什么阿里云要做流批一体？

{"type":"doc","content":[{"type":"blockquote","content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"流批一体已经从理论走向实践，并在2020年迎来落地元年。"}]}]},{"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（下称Flink）从一个突然出现在大数据舞台的“萌新”系统，迅速成长为人人皆知的流计算引擎。"}]},{"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":" 在伴随Flink发展掀起的这波实时计算浪潮里，阿里是国内走得最前、做得也最多的一个，“流批一体”是它的新赛道。今年双11， Flink 流批一体开始在阿里最核心的数据业务场景"},{"type":"link","attrs":{"href":"https:\/\/mp.weixin.qq.com\/s\/oKkbIsM2f4FA8ZU4IUdYFQ","title":"","type":null},"content":[{"type":"text","text":"崭露头角"}]},{"type":"text","text":"，并抗住了40 亿条／秒的实时计算峰值。"}]},{"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":"这是第一次有互联网超级大厂真正在核心数据业务上规模化落地流批一体技术。同时，这也意味着Flink在阿里的发展已经进入第二个阶段，从全链路实时化进阶到全链路流批一体化。"}]},{"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大会召开之际，InfoQ对Apache Flink中文社区发起人及阿里云实时计算负责人王峰（花名莫问）、阿里云实时计算团队资深技术专家杨克特（花名鲁尼）、天猫大数据负责人黄晓锋进行了独家专访，希望从多个角度更完整地还原Flink流批一体在阿里落地的过程和背后的技术挑战，并深入探讨这个新赛道对于阿里云的价值和未来发展方向。"}]},{"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":"从理论到落地"}]}]}