First, set OLAP, which can be accessed by machines in the LAN through the HTTP protocol. Then, use Excel to connect to OLAP through HTTP. The settings are as follows:
1. Create an OLAP site
1. Find the c: \ Program Files \ Microsoft SQL Server \ msas10.mssqlserver \ OLAP \
A few months ago, I stumbled across an Excel plugin Smartpivot for the analysis of SSAS OLAP data, which is a very useful feature, and if your BI solution is using SSAS, then look at this stuff and be sure to have a lot of inspiration for you if your bi The report client uses Excel, so this is simply a must-have tool in the home, in recent months I have used piec
OLAP options in Oracle9 I Database Release 2 introduce the analysis workspace and truly integrate the relational and multidimensional data types in the same Database. So far, the only way for developers and DBAs to use the analytic workspace is to use command line API calls to manually build them. However, with the latest Analytic Workspace Manager (AWM) version, you can better utilize the multidimensional features in Oracle
How to monitor and optimize OLAP databases and monitor olap Databases
It is very important to optimize the performance of online analysis and processing. Fortunately, some tools can help monitor and improve the operation of OLAP databases.
The Microsoft SQL Server Analysis Service (SSAS) provides a powerful engine used to create and manage data mining applicatio
OLAP introduction (combined with personal work), olap introduction combined with personalOLTP and OLAPTraditional database systems are OLTP and can only provide raw data operations. Analysis is not supported.
OLTP system: Performs online transaction and query processing. General supermarket invoicing system, functions: Registration, accounting, inventory and sales records, etc,
OLAP ClientFlexolapview User ManualOverview flexolapview component is a method for multidimensional analysis.FLASHcontrol, available through theXMLAstandard protocol connected toOLAPservers, such as: Microsoft'sSQL ServerAnalysis Server (MS ssas2005/2008) andPentahoAnalysis Services (Mondrianand so on, it can use the pivot table and a variety of charts to display multidimensional Analysis data for real-time business analysis. This article describes
user's requirements, and then develop applications and create databases for the user's purpose.
What is an OLAP report tool?
In the report market, there is a strange phenomenon: the technical staff of the IT department is the department staff most unfamiliar with the use of report tools in all departments of the enterprise, but the report data comes from the IT department. The IT department often uses the OLAP
and create databases for the user's purpose.
What is an OLAP report tool?
In the report market, there is a strange phenomenon: the technical staff of the IT department is the department staff most unfamiliar with the use of report tools in all departments of the enterprise, but the report data comes from the IT department. The IT department often uses the OLAP concept to build a data model and create rep
situation can be seen as a multi-dimensional problem. In the example of school administrators, the problem is to find a way to raise the average grade of a grade, and the problem dimension includes different teachers, students, courses, and teaching departments for many years. For the sales manager, the problem is to improve the sales performance of the region. The problem dimension includes the salesperson, sales region, product portfolio, distribution channel and time. In each case, related p
charts, bar charts, stacked bar charts, style curves, and more. Combined use of components allows you to quickly turn your data into a visual work
OLAP component packages can help you manage and analyze your data
Pivot Table chartsmdash; for online viewing, analysis, and management of multidimensional dataFeatures:
Quickly display complex data from OLAP cube blocks, SQL databases, or sta
that grabbed the beach in China in that year, and finally produced many pre-sale countermeasures, for example, you can use the Bitmap header to calculate the sequence of tables in the database stored procedure, and use the program to call Excel com nested stitching.
(5) Bi advanced application mode overview-Online Analytical Processing, OLAP)
Category: In
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. You may find that different OLTP systems spell items differently, or that the merge process may not overwrite previously unknown spelling errors. Other inconsistencies may also be found, s
1. Oracle OLAP Component Description
For a description of all Oracle components, refer:
Oracle8i/9i/10g/11g component (components) Description
Http://blog.csdn.net/tianlesoftware/article/details/5937382
OLAP (on-line analytical processing), also known as DSS decision support system. OLAP is the main application of the data warehouse system. It supports complex
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?
locations. In some cases, relatively small data sources, such as Microsoft Excel, can be stored on file sharing.
Clear Data
After the OLTP data is merged into the data warehouse, it provides an opportunity to clean up the data. You may find that different OLTP systems spell items in different ways, or the merge process may not overwrite previous unknown spelling errors. Other inconsistencies may also be found, for example, the addresses of the sa
analysis, and is of high performance (still dependent on design).The SQL Server integration Service, which is used primarily to extract data incrementally from the original database (SQL Server/oracle/mysql/xml/excel, etc.), is cleaned, consolidated, and evaluated and loaded into the Data warehouse. The integration project can run as a job on a regular basis in SQL Server agent.SQL Server Analysis Service, which is used primarily to analyze data in a
Cloveretl
Cloveretl is a data ETL framework that extracts business data and converts it to the type required by OLAP. It is still stored in relational databases. Typically, the order and orderitem tables in the parent-child relationship need to be converted into a fact table. In orderitem, a large amount of redundant order data, such as date, customer, and branch, is required for statistics convenience. It seems that this is only a few lines in the c
The history and basic concepts of OLAPOLAP is all called online analytical applications, and is a solution for multidimensional data analysis queries. Typical OLAP applications include sales, marketing, management and other business statements, budget accounts, economic statements, and so on.The earliest OLAP query tool was the Express published in 1970, but the complete
What is OLAP and OLTP Source: http://www.itisedu.com/phrase/200604230827105.html
Http://www.huihoo.com/database/dw2.html
Today's data processing can be roughly divided into two categories: online transaction processing OLTP (on-line transaction processing), Online Analytical Processing OLAP (on-line analyticalProcessing ).OLTP is the main application of traditional relational databa
The concept of online analytical processing (OLAP) was first proposed by the father of the relational database, E.f.codd, in 1993, and he also presented 12 guidelines on OLAP. OLAP has aroused a great deal of response, OLAP as a class of products and online transaction processing (OLTP) clearly distinguished.
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