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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 solution for online analytical processing (OLAP), which differs from many previous technologies, and it is mainly a concept, under the guidance of this concept, to complete the system c
In general, two monitored operational components in a data warehouse environment are the use of data and data stored in the Data warehouse. Monitoring data in a data warehouse environment is the basic ability to manage a data warehouse environment. Some important information can be obtained by monitoring data in a data
Basic concepts: 1. Multi-dimensional dataset: a multi-dimensional dataset is the main object in Online Analytical Processing (OLAP) and a technology that allows quick access to data in a data warehouse. A multi-dimensional dataset is a collection of data. It is usually constructed from a subset of a data warehouse, and is organized and aggregated into a multi-dimensional structure defined by a set of dimen
Data Warehouse Introduction Definition:A data warehouse is a structured data environment that supports decision-making and online analysis of application data sources. The data warehouse researches and solves the problem of obtaining information from the database.Data Warehouse features theme-oriented, integration, st
A data warehouse is an environment rather than a product that provides current and historical data for decision-making support. This data is difficult or cannot be obtained in traditional operational databases. Data Warehouse Technology is a general term for various technologies and modules to effectively integrate operational data into a unified environment to provide decision-making data access. All you d
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 often called data mining or knowledge exploration. Features of the Data Warehouse Model
server|sqlserver| data The construction and analysis of SQL Server Data Warehouse (i) Basic concepts: 1. Cubes: Cubes are the primary object in online analytical processing (OLAP) and are a technology that allows fast access to data in a data warehouse. A cube is a collection of data, typically constructed from a subset of the Data Warehouse, an
Instance construction process and analysis 1Now we will analyze and discuss it with a simple example.Ms SQL ServerData warehouse construction process. In fact, the construction of the Data Warehouse is quite complex. It combines the front-end technology of the data warehouse with strong business requirements. Here is just a simple example to illustrate his gene
Original address I. Definition of metadata According to the traditional definition, metadata (Metadata) is data about data. In the Data warehouse system, metadata can help data warehouse administrators and developers of data warehouses to easily find the data they care about; metadata is the data that describes the structure and methods of data in a data warehouse
Summary of articles on Data Warehouse My data warehouse path! A series of articles on Data Warehouse dimension Processing1. series of methods to explore Data Warehouse-Dimension Data Processing -- Dimension Overview 2. series of methods to explore Data Warehouse-Di
(Original article: ScalingtheFacebookdatawarehouseto300PB ?, This article is translated from the original article. Facebook's challenges in storage scalability in data warehouses are unique. Our Hive-based data warehouse stores more than Pb of data and is growing at a rate of TB per day. The number of data stored in this data warehouse last year (Original article: Scaling the Facebook data
MAVEN Warehouse Classificationmaven Warehouse is divided into: local warehouse + Remote Warehouse two major categoriesRemote Warehouse is divided into: Central warehouse + Other public Remote Storage 1, in Maven, any dependency, p
Concept | Data 1. What is a data warehouse The definition of the Data warehouse is given in the book "Building the Data Warehouse" by W.h.inmon, "a data structure that is subject-oriented, integrated, stable, and time-varying in data collection to support management decisions." ", said the popular point: The Data Warehouse
Data ZT: A brief explanation of common nouns in data Warehouse Data Warehouse in the middle of the 80 's, Mr. William H.inmon, the "Father of the warehouse", defined the concept of data warehousing in his book "Building Data Warehouses," and then gave a more precise definition: Data warehousing is a topic-oriented, integrated, A data collection that is related
IBM DB2 Data Warehouse Edition is a set of products that combine the strengths of DB2 Data servers and the robust business intelligence infrastructure from IBM. DB2 DWE integrates Core Components for warehouse management, data conversion, data mining, and OLAP analysis and reporting. In this article, we focus on the OLAP Service provided by DB2 DWE. What is OLAP? On-Line Analytical ProcessingOLAP) is a type
Warehouses are divided into different areas, such as the receiving area, the shipping area, the inventory area, these areas in Odoo called "Location", the location can be nested up and down, forming a tree-like hierarchical relationship.Location is divided into different types Physical inventory location "physical stock locations", that is, internal locations Partner locations (suppliers and customers) "Partner locations (suppliers and customers)" Virtual location "Vsan location
[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 Warehouse has an entrance (also an
Data Warehouse is a comprehensive technology and solution based on data management and application. The successful implementation of data warehouses has a significant impact on the cultivation of a culture of knowledge sharing. Currently, the data warehouse-based decision support system is mainly used in banking and securities industries. With the intensification of global competition, more and more
The Nexus deployment Maven repository has been introduced today to talk about releasing jars (projects) to the MAVEN.This requirement is because the Web project uses the MAVEN library is a third-party, and the three-party this library is not stable (such as the version of the update, network interruption), although a library agent to download the index, but one day this third-party library services suddenly closed, and then the tragedy ...This kind of tragedy has happened in my team, probably no
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 data mining have started. How to establish a data warehouse and data mining is a problem that deserves constant discussion and optimization, not only in
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