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-t
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
Label:Introduction to the outsetI remember when I began to learn SQL Server 2000 in about 2006 years ago, encountered a face test is row to column, column change operation, then wrote a long time of the SQL statement eventually ended in failure. Later even if can write, also bumps, although very can exercise SQL Foundation, every time must struggle, drowning feeling. Remember SQL Server 2005 has the PIVOT and UNPIVOT these two functions, can be very c
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,
segmentation of dimensions for a particular application is highly flexible and improves the efficiency of data (especially sparse data) analysis. Six, OLAP multidimensional data analysis1. Slicing and dicing (Slice and Dice)In the multidimensional data structure, by two-dimensional slicing, three-dimensional cutting, you can get the required data. such as in the ldquo; city, product, time rdquo; three-dimensional cube in the cut and slicing, can get
In MSSQL, we all know that pivot can be used to statistic data, and to implement the pivot table function like Excel.First, our usual usage in the MSSQLServer1. SQL Server database Test---Creating a test table create table S ([name] nvarchar (), book nvarchar (), salednumber int)----Inserting test data insert into S ([Name],book,salednumber] Values (' Xiao Wang ', ' Java from beginner to proficient '); INSE
A problem that has been trapped for a long time has finally been solved. The requirement is that there are many pivot tables in Excel, the data source for each pivot table is the same, and I want to have one of these pivot tables linked together.For example, I have three pivot tables, and I want to change the month opt
.
Basic Multidimensional Analysis operations for OLAP include drillthrough (roll up and drill down), slices (slice) and dice (dice), and rotation (pivot), drill across, drill through, and so on.
• Drill-through is to change the dimension of the level, transformation analysis of granularity. It consists of an upward drilling (roll up) and a downward drill (drill down). Roll up is a dimension that summarize
Windows Phone 8.1, how do I customize the pivot head style? Use the pivot control to accomplish this effect.
Looking for a long time online, only found the solution of Windows Phone 8. Finally a great God gave a recruit, I think I need to share with you developers experience. There are too few development data for Windows Phone 8.1. I decided to share what I know with a holiday.
If you suppor
), specifically to open the Wikipedia explanation--olap.Basic operations for OLAPWe already know that OLAP operations are based on query-that is, the database's select operation, but the query can be very complex, such as a relational database-based query can be multi-table association, you can use the count, SUM, AVG and other aggregate functions. OLAP is based on a multidimensional model that defines some
complex. By defining several important attributes of an entity as multiple dimensions (dimension), the user can compare the data on different dimensions. Therefore, OLAP can also be said to be a collection of multidimensional data analysis tools.
Basic Multidimensional Analysis operations for OLAP include drillthrough (roll up and drill down), slices (slice) and dice (dice), and rotation (
A basic article (Concepts of pivot tables)
03
Some people say that a pivot table is a small database. Some people say that a pivot table can perform filtering, sorting, and category aggregation operations in sequence and generate a summary table, it is a concrete manifestation of the powerful data processing capabilities of Excel. Some people say that the
First, Basic Concepts Dimension (Dimension): is a specific angle that people observe data, is a kind of attribute when considering a problem, attribute set constitutes a dimension (Time dimension, Geography dimension, etc.). Level of dimension: people looking at a particular angle of data (that is, a dimension) can also have various descriptive aspects of varying degrees of detail (Time Dimension: date, month, quarter, year). Member of the dimension: A value of the dimension that is a de
few advantages. Delphi provides a set of decision support components for comprehensive and multi-level analysis of data. These decision support components include:
. Tdecisioncube is a multi-dimensional data warehouse.
. Tdecisionquery is similar to tquery and is used to connect to a database.
. Tdecisionsource is similar to tdatasource and can provide data source connection for pivot tables, grids, charts, and other components.
. Tdecision.pdf is us
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
Introduction
RANET. uilibrary. OLAP is an open-source Silverlight project used to display server-side OLAP data on a browser client. It contains many controls (such as MDX designer and pivot grid) to conveniently display and operate OLAP data sources on the client.
Official site
Http://ranetuilibraryolap.codeplex.com/
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?
/techarticles/dm-0803zhousb/
Data cube-Multidimensional data model
Star, Snowflake and fact constellations-patterns of multidimensional data models
Dimension-the role of conceptual stratification
Classification and calculation of measures
Classification--based on the aggregation function it uses
Distribution of
Algebra of
of the whole
Typical OLAP operations-roll up, drill down, slice and dic
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