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How to break the low efficiency of Bi analysis due to the rapid increase of data volume?

2020-12-06 12:06:38 InfoQ

{"type":"doc","content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"italic"}],"text":"“"},{"type":"text","marks":[{"type":"italic"},{"type":"strong"}],"text":"Kylin It has brought us tangible benefits , Now the data preparation time of the whole report analysis , From the past 8 Hours reduced to 2 Hours ."},{"type":"text","marks":[{"type":"italic"}],"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","marks":[{"type":"italic"}],"text":"——"},{"type":"text","marks":[{"type":"italic"},{"type":"strong"}],"text":" Wang YingZhuo , Head of China UnionPay data service team ,Kylin user "}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"heading","attrs":{"align":null,"level":2},"content":[{"type":"text","text":" Financial institutions in BI What challenges were encountered in the analysis ?"}]},{"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":" First of all, briefly introduce the background of our company's data warehouse ,2008 The company began to build data warehouse ,2009 Annual online . This data warehouse has been running up to now 10 A year , Using a framework that compares traditional standards , The main body of the data warehouse uses IBM DB2."}]},{"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":" stay BI We have introduced Cognos As a whole BI Tools , at that time , It's quite popular in the financial world Cognos. Here 10 During the year , Include Cognos And other commercial multidimensional analysis tools , It does bring great convenience to enterprise analysis . "},{"type":"text","marks":[{"type":"strong"}],"text":" Times have changed "},{"type":"text","text":" , "},{"type":"text","marks":[{"type":"strong"}],"text":" Now it's the age of big data , More and more data , Cognos There are some challenges , The growth of our data volume , 10 Years went up 10 times ; In the last two or three years , Our business volume is growing more rapidly , The challenge to data analysis is enormous ."}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"image","attrs":{"src":"https:\/\/static001.infoq.cn\/resource\/image\/dd\/10\/dda1f5e9292f3b27df99c9e872706110.png","alt":null,"title":null,"style":null,"href":null,"fromPaste":true,"pastePass":false}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}}]}

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