[CSDN report] Some time ago, an article was published on Gigaom: whatunbelievablenewservicesdoesAmazonhaveontap? Now we know at least one of them, Amazon's incredible new service, Redshift data warehouse service, points to Oracle, IBM, and Teradata.
[CSDN report] Some time ago, an article on Gigaom was published: what unbelievable new services does Amazon have on tap? Now we know at least one of them, Amazo
This course aims to achieveIn the SQL Server Enterprise ManagerData conversion Service (DTS) designerCreate an analysis services processing taskTo achieve automatic extraction, conversion, and filling of the data required by the Data Warehouse-------------------------------(For details, refer toCreate an analysis services processing task)This example is as follow
Materialized View synchronization count 1. Usage
Now we need to synchronize some data in the production database to the Data Warehouse. Considering the cost and convenience, we need to regularly refresh the materialized view for data synchronization.
2. Overall Implementation ideas
L create a dblink to access the remot
The purpose of the data Warehouse is to build an integrated data environment for analysis, providing decision support for the Enterprise (decision supports).
The basic architecture of data warehouse mainly consists of the process of data
Export data from data warehouse to word‑excel‑.txt using system;
Using system. Data;
Using system. drawing;
Using system. Data. sqlclient;
Using Excel;
Using word;
Using system. IO;
Namespace common{/// /// Import data to the .
Label:MySQL Multidimensional Data Warehouse GuideFirst PrinciplesChapter List :Chapter 1: Basic CompositionChapter 2: History of DimensionsChapter 3: Dimensions of additiveChapter 4: Dimension QueriesThis article outlinesYou will use a relational database to implement a dimensional data warehouse. The fact and dimensio
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
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
Oracle Financial Services Application (OFSA) technical platform: includes Oracle Warehouse Builder Data Warehouse building tool, Oracle8i Database, Oracle Express multi-dimensional database, Common Warehouse Metadata Common Data Warehous
The following describes the functions and usage of the DB2 data warehouse center. If you are interested in the DB2 data warehouse, take a look.
DB2 on Windows and AIX comes with a data warehouse center. This free tool provides a
enough to reflect a problem. For normal video learning, we should take it seriously and make a summary. We should not be lazy when doing this. After all, we really don't have such a good brain, multi-Summary and multi-summary.
Another piece of content is also learned from Shijie. When we clear the text box, we can use a method to traverse the control:
'Declare a control dim TXT as Control' to traverse each control for each TXT in me. controls' if the control type is textbox if typeof txt is tex
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
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
A data warehouse (DW) cleans, extracts, and transforms a large amount of traditional database data for transaction processing, and reorganizes the data according to the needs of decision topics. A large number of organizations have discovered that in today's competitive and fast-growing world,
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
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
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
Design | Data building Data Warehouse What do you want to do?
Generally, there are two main areas of data Warehouse construction:
1. Interface design with operational database.
2. The design of the data
Open-source MySQL efficient data warehouse solution: Infobright details, mysqlinfobright
Infobright is a column-based database based on unique patented knowledge grid technology. Infobright is an open-source MySQL Data Warehouse solution that introduces the column storage solution, high-strength
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
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