systems that may have existed for decades with systems that were only implemented a few months ago? This is still before big data and Hadoop. By adding unstructured, Data, NoSQL, and Hadoop to a combination, you will soon get a huge data integration project.
The simplest way to describe a
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 Warehouse (Data warehousing)-"set off your Hijab" I'm here to say some of my beginner's understanding and views, I hope these can be as a simple introduction to those novice friends, but also want to play a good effect.
When it comes to data warehousing, let's take a look at the background he's producing. Since Db
What is a data warehouse?
Bill inmon, father of data warehouse, was widely accepted in the definition proposed in building the Data Warehouse published in 1991, A data
First, the Data WarehouseThe standard definition of the Data Warehouse concept is relatively high in the industry, as proposed by Bill Inmon, the father of the Data Warehouse, in the book "Building The Data
First, the Data WarehouseThe standard definition of the Data Warehouse concept is relatively high in the industry, as proposed by Bill Inmon, the father of the Data Warehouse, in the book "Building The Data
Number of materialized views synchronized 1. The purpose is to synchronize some data in the production database to the Data Warehouse. Considering the cost and convenience, the method of regularly refreshing the Materialized View
Number of materialized views synchronized 1. The purpose is to synchronize some data in th
Label:In short, the database is a transaction-oriented design, the Data Warehouse is a theme-oriented design.Databases generally store online transaction data, and data warehouses typically store historical data.Database design is to avoid redundancy as far as possible, generally adopt the rule of conforming to the pat
Scenario 4 Data Warehouse Management DWParallel 4 100%-> must obtain a specified 4 degree of parallelism, if the number of processes obtained is less than the number of degrees of parallelism set, the operation failsParallel_min_percent: If set to 100, as aboveILM: Information Lifecycle ManagementHigh compression of dormant data on low-cost channels (e.g. tape dr
in multiple legacy locations, and in some cases even relatively small data sources, such as Microsoft Excel spreadsheets, can be stored on file shares.
Clean up data
When you merge OLTP data into a data warehouse, you provide an opportunity to clean up your
Data WarehouseThe purpose of the Data Warehouse is to build an integrated data environment for analysis, providing decision support for the Enterprise (decision supports). In fact, the data warehouse itself does not "produce" any
Application background
China Unicom has a national scale of public telecommunications network, operating a variety of basic telecommunications business and value-added telecommunications services, the formation of mobile (GSM, CDMA), 193 long-distance, VoIP, 165 (Internet and E-commerce), paging, local calls, value-added services, such as a variety of business coexistence and common development pattern. How to give full play to Unicom's comprehensive advantages, to achieve flexible marketing st
BI architecture and data warehouse design
(14:26:41)BI architecture and data warehouse design
A data warehouse solution is often related to a large Bi strategy. When you plan to use the fast tracing architecture, the most impo
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
Oraclew.alservicesapplication (OFSA) Technology Platform: Includes OracleWarehouseBuilder data warehouse building tool, Oracle8i Database, OracleExpress multi-dimensional database, CommonWarehouseMetadata Common Data Warehouse metadata management tool, OracleInternetDevelopSuites Business Intelligence
Oracle Financial
One-network fund settlement analysis system for Guangdong expressway Based on the Data Warehouse Star Model
Magenfeng(Guangdong Union Electronic Service Co., Ltd., Guangzhou 510300, China)
SummaryThe star mode is a well-known concept in the Data Warehouse Based on relational databases. the design concept of the star co
The partition view joins the horizontal partition data from a group of Members to make the data look like it is from the same table. SQL Server 2000 distinguishes the local partition view from the distributed partition view. In the local partition view, all related tables and views reside on the same instance of SQL Server. In the distributed partition view, at least one table in the relevant table resides
In the process of extracting data from an OLTP business database to a DW data warehouse, especially after the first import, the problem is that some data in the business database has been changed to reflect these changes to the Data ware
A data warehouse can be used as a data source for data mining, OLAP, and other analysis tools. Because the data stored in a data warehouse must be filtered and converted, the wrong
intelligence can assist business decision-making, which can be either operational or tactical or strategic. To turn data into knowledge, you need to leverage technologies such as data warehousing, online analytical processing (OLAP) tools, and data mining. Therefore, from the technical level, business intelligence is not a new technology, it is only
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