difference between ods and data warehouse

CIF architecture is represented in the diagram Therefore, a basic infrastructure such as CIF must be able to absorb and support enterprise information from different sources. Not only does it need to invest heavily in unstructured data from file management systems, internal and external Web sites, operating systems, groupware, and e-mail, but it also invests in traditional structured data (from

dimension 9 series of data warehouse-Dimension Data Processing Methods -- Snowflake About Data Warehouse ETLA series of articles on data extraction and data SummarizationSimula

How data builds a bank data warehouse Song Yuchang, No. 11th Xinhua East Road, Dengzhou, Henan, China. As a new technology in data management field, the essence of Data Warehouse technology is to put forward a comprehensive solut

before making an effective investment. 3, "Parallel development" mode "Parallel development" mode refers to the establishment of data mart and the establishment of a global data warehouse under the guidance of a data model of a global Data

Data Three CIF Case-sap BW The main feature is that ERP vendors provide the entire architecture, which saves a lot of design work, and reduces the cost of design and development, encapsulation of the business in BW, reducing the difficulty of long-term maintenance. ERP data resources are very rich and valuable, should be an important source of data warehousing,

Many companies use data warehouses for data analysis. Generally, they extract data from online backup databases (such as mirror, logshipping, and slave) to the ods layer. From the ods layer to dw to dm, especially from the ods lay

. This is what many vendors once talked about. The two methods can be used flexibly based on different needs. Most db software uses row-based storage, and column-based storage features efficient single-column value compression. When selecting fewer columns, the io requirement is very low and the speed is fast, however, the compression efficiency of Row-store databases is also rapidly improved. Most of the requirements are to select row data for observ

description, extraction log, common routines. Language interface, SQL Language interface, is that you want to do a foreground control program, you can insert, delete ... The efficient loading of data, I think, (what, the teacher lazy, I will be lazy, how) there is nothing to say, you need to do different things according to different environment. Efficient index utilization, data compression, compound k

Center" packaging solution. (Informix software was acquired by IBM this April, a move that would give IBM database and data warehousing products a tremendous boost from technology and market share.) ） 5.CACA acquired the Platinum technology company in 1999, and received a complete data warehousing solution, including: Erwin Data

> ODS Layer Mainly responsible for collecting business systems and keeping relevant business data for a certain period of time. Of course, you can also meet the user's query requirements for detail data, but also can be counted as a detail warehouse. > Data

performance. One of the most effective uses of monitoring programs is the ability to compare today's results with the average daily results. When an anomaly is found, one can ask "what is the difference between today's average and daily results?" "This is usually good. In most cases, performance changes are not as bad as you might think. But in order to make such comparisons, a "daily average profile" is required. The "Average daily profile" includes

applications and may not store data based on the same topic. Data Warehouses focus on data analysis and are stored Based on topics. This is similar to the difference between a traditional farmer's market and a supermarket-cabbage, radish, and coriander are sold at a stall if they are sold at a small price, cabbage, ra

Warehouse is based on the database technology, but with the traditional database application has a fundamental difference between the new technology, CRM is based on data Warehouse technology, a novel application. However, in terms of business operation, CRM should be regarded as an old "application". For example, the

Ho, August See a colleague on the desktop there is a Data Warehouse Toolbox Third edition, this blog simply discusses the Data Warehouse modeling general process and modeling methods (mainly practical experience and network data integration) First describe the application

product Dimension has a product family, a large class, and a small class of three attributes, which defines [ classify layer level, take advantage of these three properties directly, That is, each level is a property of a member. The other is between the dimension members, such as hr , each level is a specific dimension member, that is, each level is one or more dimension members, Each level contains multiple properties. The latter level is often persisted in the database in a recursive man

The common dwh architecture is as simple as figures 2 and 3. Generally, for an enterprise, the data lifecycle is 5-7 years, especially for detailed data. The lower the data granularity level, the shorter the lifecycle, the higher the data granularity and the longer the lifecycle. For the flow account

the field of business intelligence/data warehousing, but their two-bit ideas and ideas differ greatly. Their followers also often have a debate about which architectures and ways to build better.At home, we typically refer to the definition of the four characteristic angles of the Data warehouse (subject-oriented, integrated, relatively stable, reflecting histor

What are the data warehousing solution software available for selection in the market? What difference does it have? Can you analyze and compare their performance and characteristics? Powerful companies such as IBM, Oracle, Sybase, CA, NCR, Informix, Microsoft, and SAS have launched their own data warehousing solutions (through acquisitions or research and devel

This article mainly introduces the open-source MySQL efficient data warehouse solution: Infobright details. This article describes the features of Infobright, the value of Infobright, the applicable scenarios of Infobright, and the comparison with MySQL, for more information, see Infobright, a column-based database based on the unique patented knowledge grid technology. Infobright is an open-source MySQL

Label:There are two kinds of database design models widely used in Data warehouse: Relational type and multidimensional type. It is generally believed that the relational model in the design method of Data Warehouse is "Inmon" method and multidimensional model is "Kimball" method. First look at the relational model, wh