olap in data warehouse

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Automatic Data Warehouse extraction: use the data conversion Service (DTS) designer in the SQL Server Enterprise Manager to create analysis services to process tasks.

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

Use db_link to create a materialized view and synchronize data to a data warehouse

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

FOCUSBI: Data Warehouse (original)

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 collection of all kinds of

Bank of China Oracle Data Warehouse Solution

China's banking industry in the development process, has gradually accumulated a large number of customer data and operating data. How to use these data to discover valuable information is of general concern to China's banking industry today. The key to solve the problem is to set up the bank's enterprise-level data

The difference between a data warehouse and a database

Data Warehouse is a subject-oriented (Subject oriented), integrated (integrate), relatively stable (non-volatile), data collection that reflects historical changes (time Variant). Used to support management decisions.The so-called (1) topic-oriented: Index data in the warehouse

Data Warehouse Applications

Three types of DW application.DW is the basis of these applications.1.Information processingThe information can be processed by means of Querying,basic statiscal analysis,reporting using crosstabs,charts or graphs.2.OLAPThe data can be analysed by means of basic OLAP operations,including Slice,dice,drill down/upn and pivoting.Need to is compared with OLTP.3.DM (Data

Concept of data warehouse-PHP Tutorial

Concept of data warehouse. With the intensification of market competition and the development of the information society, it is increasingly important to extract (retrieve, query, and so on) information from a large amount of data to develop market strategies. This requirement requires that, with the intensification of market competition and the development of th

Export data from data warehouse to worddeskexcel.txt

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 .

Experts interpret Microsoft Parallel Data Warehouse

Microsoft's Parallel Data Warehouse (Parallel data Warehouse, abbreviated PDW) was released last year with SQL Server 2008 R2, designed to compete with Oracle Exadata and Teradata. PDW a true sense of the ability to mix workloads, users can extend data from multiple physical

"Reprint" MySQL Multidimensional Data Warehouse Guide First chapter 1th

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

Concept of data warehouse _ MySQL

insufficient data access capabilities, its access performance to a large amount of data is significantly reduced. With the maturity of C/S technology and the development of parallel databases, the development trend of information processing technology is from a large number The transaction database extracts data and clears and converts it to a new storage fo

The concept of a data warehouse

. With the development and refinement of this process, the special data that supports decision making Storage is called a data Warehouse (Warehouse, DW). W. H. Inmon The Data Warehouse is defined as a

Partitioning policy of relational data warehouse in SQL Server (1)

We recommend that you read and understand the following articles: ◆ Use a partition in a Microsoft SQL Server 2000 data warehouse-http://msdn.microsoft.com/library/default.asp? URL =/library/techart/PartitionsInDW.htm◆ SQL Server 2000 step by step batch import case study-http://www.microsoft.com/technet/prodtechnol/ SQL /2000/maintain/incbulkload.mspx◆ Kimberly L. Tripp: SQL Server 2005 Partition Table and

The difference between the data warehouse and the transaction type database

The specific database that we create for a program is generally called a transactional database (Transaction), and its data Warehouse (DW) is very different. 1. Transactional databases help people perform activities, and data warehouses help people plan. For example, a transactional database might show which seats on a flight are empty, so passengers can make res

Concept of data warehouse

-makingStorage is called Data Warehouse (DW ).W. H. Inmon defines data warehouse as a topic-oriented and integrated data warehouse that supports management decision-making processes..A topic is the standard for

Introduction to OSFA and data warehouse in Oracle

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

Learn about the DB2 data warehouse center

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

Use Hive to build a data warehouse

Building a real data warehouse in a data warehouse may be a huge project. There are many different devices, methods, and theories. What is the greatest common value? What are facts and what are theme related to these facts? And how do you mix, match, merge, and integrate systems that may have existed for decades with s

Concept of Data Warehouse

this process, such decision-making and special data storage is called Data Warehouse (DW ). W. H. Inmon defines a data warehouse as a topic-oriented, integrated, stable, and time-varying data set that supports management decisio

The first time the data center charges granular Data Warehouse

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

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