Olap Query Excel

Absrtact: When we do data analysis, most of the time in the use of trend analysis, comparative analysis, subdivision analysis of these three methods, but there is a way we will often use the cross analysis, especially when troubleshooting data anomalies, cross we are in the data analysis, most of the time to use trend analysis , comparative analysis, subdivision analysis of these three methods, but in fact, there is a way we will often use-cross analysis, especially when troubleshooting data anomalies, cross analysis can show its powerful power. In addition to say sorry to everyone is the blog ...

The intermediary transaction SEO diagnoses Taobao guest Cloud host Technology Hall We are in the data analysis, most of the time in the use of trend analysis, comparative analysis, subdivision analysis of these three methods, but there is still a way we will often use-cross analysis, especially when troubleshooting data anomalies, Cross-analysis reveals its power. In addition to say sorry to everyone is the blog update frequency may not be so frequent, but as far as possible to publish at least a month, hope that the quality of the article is guaranteed, or welcome to comment on the discussion, can send ...

Intermediary transaction SEO diagnosis Taobao guest Cloud host technical Hall The purpose of the data Warehouse is to build an integrated data environment for analysis, and to provide decision support for enterprises (Decision Support). In fact, the data warehouse itself does not "produce" any data, at the same time does not need to "consume" any data, data from the outside, and open to external applications, which is why called "Warehouse", not called "factory" reasons. Therefore, the basic structure of the data warehouse mainly contains the data inflow and outflow process, can be divided into three layers-source data ...

The purpose of data warehouse is to build an integrated data environment oriented to analysis, and to provide decision support for enterprises (Decision-support). In fact, the data warehouse itself does not "produce" any data, at the same time does not need to "consume" any data, data from the outside, and open to external applications, which is why called "Warehouse", not called "factory" reasons. Therefore, the basic structure of the data warehouse mainly contains the data inflow and outflow process, can be divided into three layers-source data, data Warehouse, data application: From the graph can be seen data warehouse data from ...

"Editor's note" ebay opens up a database technology called Kylin, and ebay shared many of the details of Kylin on a Wednesday blog, providing SQL interfaces and OLAP interfaces based on Hadoop, supporting terabytes to petabytes of data, Kylin is designed to reduce the query latency of Hadoop at more than 1 billion rows of data levels. All this shows that ebay has made good progress in using Hadoop technology. Below: Online auction website ...

The recent investment in cloud computing by major giants has been very active, ranging from cloud platform management, massive data analysis, to a variety of emerging consumer-facing cloud platforms and cloud services. And the large-scale data processing (Bigdata 處理) technology which is represented by Hadoop makes "Business king" Change to "data is king". The prosperity of the Hadoop community is obvious. 　　More and more domestic and foreign companies are involved in the development of the Hadoop community or directly open the software that is used online. The same year with ...

In today's enterprise, 80% of the data is unstructured, and the data is growing exponentially by 60% annually. Large data will challenge the enterprise's storage architecture, data center infrastructure, etc., will also trigger the data Warehouse, data mining, business intelligence, cloud computing and other applications of the chain reaction. Future businesses will use more TB-level (1TB=1024GB) Datasets for business intelligence and Business Analytics. By 2020, global data usage is expected to rise 44 times-fold to 35.2ZB (1zb=10 billion TB). Big data is changing the IT world completely. October a few big technology giant ...