Data Warehousing

Data cube and Hadoop hbase performance test Comparison report please download: Temp_13063022073515.doc data cube related information: http://www.cstor.cn/proTextdetail_121.html The test of the data cube, hbase in different data volumes, warehousing, warehousing flow, query data performance testing, from the test results: 1, data warehousing: Data cube and HBase in small amount of data in the performance of the difference between the two.

Most data warehousing projects will bring huge investment. For example, the Nordbanken bank, a European lender, spent 100 million euros to build a data warehouse system for data unification across regions and business units. However, in the face of the same business challenges, another European bank, UniCredit, has taken a radically different approach. "Our philosophy is to look for space in other projects, as long as there are any other projects," UniCredit chief financial officer Criscito Ambrisi said in an interview.

Bill Inmon and Ralph Kimball, who were exposed to two names at school, were unfamiliar to most of the two Americans, but they were a resounding figure in the database field. Bill Inmon, known as the "Father of the Data Warehouse", he can now see a lot of scholarly papers and articles on the Web, and Wikipedia's introduction to him should be very comprehensive: in the 80 's, Inmon's "Data Warehouse" book defines the concept of data warehousing, Then gave more ...

The example demonstrates using the IBM BCU design architecture to benchmark TPC as data source (300GB data volume) and test case, showing the pull effect of "troika" on query performance. Whether in the POC test or in the real production system, query performance is an important indicator of customer concern. Through this article, the reader can fully understand the "troika" of the mystery, the text of the example demo to the reader has reference and referential significance. In the Http://www.aliyun.com/zixun/aggreg ...

Discussion on the construction of large data warehouse platform with cloud computing technology horse and good analysis of the current telecom operators in the construction of large data warehouses in the infrastructure faced by the technical problems, combined with the technical characteristics of cloud computing, this paper gives a solution of cloud computing technology and compares it with the traditional scheme, and analyzes the advantage factors of cloud computing scheme. Keywords: cloud computing technology, data Warehouse, large-scale parallel processing, column storage temp_12090709573798.p ...

Research on large data and its application in contemporary Internet Xiamen University forest Glory In this case, the main research contents 1. Re-analyze the status and definition of large data, understand what large data is and how the industry and the market now understand large data, and then analyze multiple research directions of large data. Better understand the big data itself. 2. The current situation of large data popularization is analyzed, and how to slim down large data sets and to look forward to the future development of large data market are expounded. 3. From my work involved in e-commerce large data forecasts, the ...

MapReduce is a high-performance batch processing distributed computing framework for parallel analysis and processing of massive data. Compared with traditional data warehousing and analysis techniques, MapReduce is suitable for dealing with various types of data, including structured, semi-structured, and unstructured data. The data is at terabytes and PB levels, and at this level, traditional methods are often unable to process data. MapReduce divides the analysis task into two categories: a large number of parallel Map tasks and a Reduce rollup task. Map task runs in multiple suits ...