olap visualization

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

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

extract data from multiple data sources. It is full of reports.At the beginning, the company introduced its sales to users when selling products: "We are the strongest in the Bi field ......" The effect was not good. Later, the sales finally found a tip and said, "We can do any report !" Then the order continues. 2002-2003 The value of OLAP has finally been discovered by some eyes. Some competitive companie

-------------------------------------------------------------------------------- Visualization of weight values After training, the network weights can be visualized to judge the model and whether it owes (too) fit. Well-trained network weights usually appear to be aesthetically pleasing, smooth, whereas the opposite is a noisy image, or the pattern correlation is too high (very regular dots and stripes), or lack of structural or more ' dead ' areas.

Visualization of Keras Models: Model Model = sequential () # INPUT:100X100 images with 3 channels, (3) tensors. # This applies, convolution filters of size 3x3 each. Model.add (Zeropadding2d (1), Input_shape= (3, 3)) Model.add (conv2d (+)' Relu ', padding=' Same ') # Model.add (conv2d (3, 3), activation= ' Relu ', padding= ' same ')) Model.add (Batchnormalization ()) Model.add ( Maxpooling2d (Pool_size= (2, 2)) Model.add (Dropout (0.25)) Model.add (c

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

OLAP system are read-only operations. Therefore, query throughput and response time are more important than transaction throughput. To facilitate complex analysis and visualization, data in a data warehouse is usually modeled in multiple dimensions. Dimensions are hierarchical, such as day-month-quarter-year, and product-category-industry. OLAP operations deroll

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?

Data Visualization and D3.js, data visualization D3.jsData Visualization Data visualization is a topic for how to better present data. After the emergence of big data, it becomes more important and urgent. Previously, using excel for column charts, pie charts, and line charts was one of the most commonly used data

Is OLAP a bi? Posted by admin on 12月 1st, 2007. Filed in 技术--> In order to determine the business activities carried out by the business strategy and market strategy, enterprises must analyze and make decisions based on multiple reports and reports in the analysis and decision-making process of Bi projects. Most of the ideal marketing activities require sales reports for each business point, and performance charts for each product to be sold by sea

In order to determine the business activities carried out by the business strategy and market strategy, enterprises must analyze and make decisions based on multiple reports and reports in the analysis and decision-making process of Bi projects. Most of the ideal marketing activities require sales reports for each business point, and performance charts for each product to be sold by season. A large amount of accurate and easy-to-Judge data is required. However, it is a huge workl

The best 20 data visualization tools for visualization Reprinted original URL: http://www.iteye.com/news/28093 Data Visualization makes data more intuitive and lays the foundation for developers to make correct decisions. This article describes 20 different data visualization tools, from simple lists to complex table

Welcome to the Oracle community forum and interact with 2 million technical staff to access Oracle Business Intelligence Discoverer (OracleBIDiscoverer), which is a set of business intelligence tools, allows you to query and analyze data stored in Oracle and other databases. As a part of Oracle Business Intelligence 10 Gb, OracleBIDiscoverer is Or Welcome to the Oracle community forum and interact with 2 million technical staff> Oracle Business Intelligence Discoverer (OracleBI Discoverer) is a

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

Python data visualization is divided intoScalar visualization, vector visualization, contour line visualizationScalar is also called no vector, only the size has no direction, the operation follows the algebraic algorithm such as mass, density, temperature, volume, timeVectors, also known as vectors, are determined by the size and direction of the volume, the ope

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. Today's