nosql data warehouse

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How to build a bank data Warehouse

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

About Data Warehouse

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 Tech

Application of Data Warehouse technology in data service platform

Introduction With the rapid development of China's financial industry, it is an urgent problem for the bank to support the decision analysis by classifying and storing the customer data, analyzing the automatic discriminant of the various factors, and digging out the information needed by the bank managers and the business analyst in the presence of a large amount of data.

Talk to me. Metadata management system in Data Warehouse _ database

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 Warehouse construction and continuous improvement of data quality

The construction process and method of data warehouse system is different from the process and method of building the traditional operation type processing system, the construction of Data Warehouse system has two difficulties: first, how to guarantee the data quality, make

Bi data warehouse data layering

Why layer data warehouses? Use space for time and a large amount of preprocessing to improve the user experience (efficiency) of the application system. Therefore, a large amount of redundant data exists in the data warehouse; If there is no hierarchy, changing the business rules of the Source Business syste

"Bi thing-the art of data" understanding Dimension Data Warehouse-fact table, dimension table, aggregation table

The original: "Bi thing-the art of data" understanding Dimension Data Warehouse-fact table, dimension table, aggregation tableFact tableIn a multidimensional data warehouse, a table that holds a detailed value or fact for a measure is called a fact table. A fact table that s

How to use multiple record types to provide SQL access to NoSQL type data

handles plus stdin, stdout, stderr, and so on is 20. Although a mixed-record structure is appropriate for non-relational or NoSQL APIs, because there is no pattern required, developers often face situations where a technique is needed to use a pattern. A consistent pattern definition for some software using SQL (or ODBC, etc.) is required, such as a large number of third-party reporting and analysis tools, including Crystal Reports and Excel, as wel

"Bi thing-the art of data" understanding Dimension Data Warehouse-fact table, dimension table, aggregation table

Fact tableIn a multidimensional data warehouse, a table that holds a detailed value or fact for a measure is called a fact table. A fact table that stores sales and sales by state, product, and month has 5 columns that are conceptually similar to the following example. Sate Product Mouth Units Dollars WA Mountain-100 January 3 7.95

Relationship between data warehouse, OLAP and Data Mining

To illustrate their relationship, we have to talk about business intelligence. From a technical point of view, the process of business intelligence is based on the data warehouse in the enterprise by the online analysis and processing tools, data mining tools, and the professional knowledge of decision planners, obtain useful information and knowledge from

Multidimensional data model of Data Warehouse

Perhaps many people understand that the data warehouse is built on the basis of multidimensional data model for OLAP data platform, through the previous article-the basic architecture of the data Warehouse, we have seen that the

Data Warehousing Special Topic (16)-Distributed Data Warehouse Practice Guide-Catalogue

Objective:Ready to systematize a set of distributed Data Warehouse Modeling Practice Guide, the first list of the table, is to design a goal for themselves.The first part of the basic articleChapter One concept and definition of data Warehouse1.1 Data Management System1.2 Data

NoSQL Data Modeling Technology

This article was reproduced from: http://coolshell.cn/articles/7270.html ================================================ Full-text translation from the wall of the article "NoSQL Data Modeling techniques", translation is not good, please forgive me. After reading this article, you may feel a little bit about NOSQL data

Overview: The role of bitmap indexing in data warehousing-Oracle Data Warehouse-Cnoug ____oracle

About star schema In the construction of the Data Warehouse, the star pattern shown in the following illustration is almost the most commonly used. It is called star mode because the E-R graphic in the pattern is like a star (it feels strange to say). NBSP as shown in the figure, the center is a large fact table with some dimension tables around it. The fact table contains the primary information fo

6 Strategies of Data Warehouse implementation

Policy | data 6 Strategies of Data Warehouse implementation In the implementation of the data warehouse, the need for theoretical guidance, with the development of data Warehouse t

What is a data warehouse

Data currently, the term Data Warehouse does not yet have a unified definition, the famous data Warehouse expert W.h.inmon in his book, "Building The Data Warehouse", gave the following

The construction of data Warehouse in big Data Environment

warehouses, as follows:In general, I agree with the new generation of data warehousing, which is easy to use, efficient, extensible, data sharing, etc., but it is difficult for me to disagree with the comparison, especially in the speed, expansion two. Traditional Data Warehouse, the size of the

Learning: Using partitions in the SQL Server 2000 Data Warehouse

server|sql| data Partitioned views join horizontal partitioned data from a group of members so that the data looks like it comes from the same table. SQL Server 2000 distinguishes between local partitioned views and distributed partitioned views. In the local partitioned view, all related tables and views reside on the same instance of SQL Server. In a distribute

Data Warehouse Construction

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

Several problems in processing historical data in a data warehouse

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

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