data warehouse design tutorial

Data Warehouses are subject-oriented, integrated, non-updatable, and constantly changing over time, these features make sure that the system design of the data warehouse cannot be the same as that of the traditional OLTP database. The original requirements of the data

project. The data warehouse system is an information delivery platform. It obtains data from the business processing system and organizes data based on Star and snowflake models,It also provides users with various means to obtain information and knowledge from data. In term

data used by the design and management personnel of the data warehouse for development and daily management. Including data source information, description of data conversion, definition of objects and

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

not be the same as a customer data source or an employee data source. Even if the system is in the same database, it is tedious to establish a query system that merges and summarizes the results in a way that produces the correct answer. In fact, merging data sources and rollup results is what data

the data interface for the mining tools such as SAS, SPSS and so on.Meta Data managementMetadata (meta date), in fact, should be called explanatory data, i.e. data data. It mainly records the definition of the model in the Data

scripts, and SQL statements to access different data. Data conversion includes deleting data segments that are meaningless to decision-making applications, transforming them to uniform data names and definitions, calculating statistics and derived data, and assigning missin

data at a higher level, which can describe the enterprise data involved in each analysis object, as well as the connection between the data. The so-called higher level is relative to the application-oriented approach to data organization, refers to the way the data organize

data at a higher level, which can describe the enterprise data involved in each analysis object, as well as the connection between the data. The so-called higher level is relative to the application-oriented approach to data organization, refers to the way the data organize

Data warehouse and data mining are two big concepts. They are very mature in foreign countries. In China, with the accumulation of enterprise data and the maturity of ERP in the past few years, data warehouse and

: Query speed should not be used as a justification for partitioning a data warehouse relational database. For partitioned and unpartitioned fact tables, query performance is similar. In a properly designed partitioned database, the relational engine includes only the related partitions required to resolve the query in the query plan. For example, if the database is partitioned on a monthly basis and the qu

the basis for providing data warehouse solutions to customers. OLAP data market When talking about the data market, many people may immediately think about multidimensional or OLAP analysis. According to the definition, the data market is a subset of the

of aggregation of data in a data warehouse depends on many design factors, such as the speed requirements of OLAP queries and the granularity required for analysis. For example, if you aggregate sales details into a daily summary instead of an hourly rollup, OLAP queries will run faster, but you can do this only if yo

[Description] Ack is a high-tech enterprise mainly engaged in computer production and its peripheral products. Not only is ack a leading product in China, but its warehouse design is also unique. Due to the diversity of production products, the ACK warehouse is composed of several sub-warehouses of varying sizes and shapes. Each

Follow the public number: Focusbi See more articles; Add QQ Group: 808774277 Get learning materials and explore issues together.　　Business Intelligence Tutorial PDFLink: https://pan.baidu.com/s/1f9VdZUXztwylkOdFLbcmWw Password: 2r4vData Warehouse is the core of decision support system, it is the decision-making process for all levels of enterprise, it provides the strategic, tactical and operational collect

enough, a change in data warehouse design often leads to the reconstruction of the database. In addition, the current level of integration between Oracle 8i and Express is not high enough, Oracle 8i and express need to replicate metadata, if Oracle Discoverer (or Bo) need to access the rollup data, It is difficult to

This article discusses two common methods in data warehouse model design. In the application environment of data warehouses, there are two types of load: one is to answer repetitive questions, and the other is to answer interactive questions. Dynamic query has obvious interactive features. This interaction process is o

inconsistent operation data into integrated and unified information. 5. provides basic information sources and auxiliary tools for marketing and customer analysis. 6. You can analyze the profits and costs of products, departments, and institutions. 7. Standardized management processes, optimized business processing, and improved capital utilization. 　　　　 2. Data

According to the Informix Data Warehouse System implementation methodology, we can divide the data warehouse implementation into the following steps: 1. Business Demand Analysis Business Requirement analysis is the basis for data warehou