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"Bi thing-the art of data" understanding Dimension Data Warehouse-fact table, dimension table, aggregation table

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 stores sales and sales by state, product, and month has 5 columns that are conceptually similar to the following example. Sate Product Mouth Units

SSAS & Excel BI tips in one piece: what-if analysis

This series is used to document the experience of using SSAS and Excel for data analysis in the work, in the Days of Goodness (SSAS Excel BI Tips), which is now intended to share small skills in the form of blogs, which is not enough to be explained as a separate course, but a lot of BA, Bu unfamiliar but very useful skills, dedicated to the needs of friends.This article is about the what-if hypothesis analysis of Excel, and the what-if writeback of

POWER-BI Retail chain Industry Solutions

trends, the business anomalies to make a rapid and accurate response.Third, Insufficient data collection:Many information systems even product attribute characteristics can not be collected into the storage, resulting in the corresponding analysis of consumption tendency.The POWER-BI can help the retail chain industry achieve:1, according to channel and regional combination of best sales and best profit products, adjust the best shelf products;2, acc

Microsoft BI's SSIS series-Talk about lookup caching

partial caching Note that the size allocation of the buffer is as large as possible, 25MB in size. Reasonable use does not match the buffer, when the mismatch degree is high, the ratio of mismatched buffers is increased. No cache is not cachedNo cache mode, each match query will go to the database to check once. In this cache mode, the amount of data is small and the memory is very tight, it will be used, of course, its memory consumption is relatively minimal, but the lowest

Silverlight for Bi version milestone 05

About Silverlight for Bi This project mainly talk about the method to implement Bi using Silverlight.Now that I can find the way to render KPI and cube, It is not a control Or something, because of Silverlight, it is just tell a way to implement. How to use:About Silverlight for KPI please check author's blog.For Silverlight for cube, edit web. config which the WebService is hosted in, edit the connec

Four key technologies of business intelligence (BI)

Business Intelligence is a complete solution that combines data warehouses, Online Analytical Processing (OLAP), and data mining into commercial activities to collect data from different data sources, after extraction (extract), transformation (Transform), and load, it is sent to the data warehouse or data mart, then, appropriate query and analysis tools, data mining tools, and on-line analysis and processing tools are used to process information, transform information into decision-making knowl

Three major contradictions in BI applications (zz)

Document directory Conflict 1: Business Department's understanding of data and data department's understanding of requirements Conflict 2: constantly changing business needs and complex processes for generating data Conflict 3: Efficiency of real-time data query and processing and Modeling of massive data Due to recent work changes, I have been busy with a lot of things, work handover, resignation procedures, and new work ideas. At present, I am still at this stage, so there may not be an

Bi data warehouse data layering

is the temporary storage area of interface data. It prepares for the next step of data processing. Generally, the data on the ODS layer is homogeneous with that on the source system. The main purpose is to simplify subsequent data processing. In terms of data granularity, the data granularity of the ODS layer is the finest. Tables on the ODS layer generally have two types: one for storing the data to be loaded and the other for storing the processed historical data. Historical data must be clea

Business Intelligence (BI)

Brief Introduction to open-source BI systems Data Warehouse Technology Business Intelligence (BI) Basic Java knowledge This unified intelligent process system consists of three parts: To

Bi project notes incremental ETL data extraction policies and methods

and multiple subscribers. The publisher must first identify the source table required to capture the changed data. It then captures the changed data and saves it to the specially created change table. It also enables the subscriber to control access to changed data. The subscriber needs to know what changes he is interested in. A subscriber may not be interested in all the data published by the publisher. The subscriber needs to create a subscriber view to access the changed data authorized by

HTML5 Mobile development is learn to use (bi-color) Wang Chih PDF scan version?

been released, it has actually been widely used in smart mobile devices, and most of the technology has been supported by the latest versions of browsers. "HTML5 Mobile development is learned to use" each analysis of the HTML5 standard contains the latest technology, the book is divided into 11 chapters, in detail the HTML5 new standard provides a variety of APIs, accompanied by relevant application examples, to facilitate the reader directly grasp the use of these APIs, And most of them can be

"Bi thing" Microsoft decision Tree algorithm--Find out the characteristics of the Three Kingdoms, dedicated to the broad three enthusiasts

In the original: "Bi thing" Microsoft decision Tree algorithm--Find out the characteristics of the Three Kingdoms of the distribution, dedicated to the broad three enthusiastsAccording to the data of the Kingdoms 11, this paper uses decision tree analysis to find out the distribution of the three generals ' characteristics. Variables include command, force, intelligence, politics, charisma, identity.Variable Description:Command: The defensive force of

"Bi thing" Microsoft linear regression algorithm

In the original: "Bi thing" Microsoft linear regression algorithmThe Microsoft Linear Regression algorithm is a variant of the Microsoft Decision tree algorithm that helps you calculate the linear relationship between dependent and independent variables and then use that relationship for prediction.The representation represented by the relationship is the formula that best represents the line of the data series. For example, the lines in the following

"Bi thing" data stream conversion--sort

Source: "Bi thing" data stream conversion--sortThe sort transformation allows you to sort data in a data flow by a column. This is one of the five commonly used conversions. Connect to the data source to open the editing interface and edit this task. Do not select a field that you do not want to set as a list, and all columns are selected by default. , sort by totalsugar_cnt, and output all columns.In the table at the bottom, you can set the alias of

New features of SQL Server BI step through step SSRS 1-reporting Service 2008

Today we start another important part of SQL SERVER bi--reporting service, relative to integration service and analysis service,reporing Service in the domestic users should be a lot more. On the one hand, because the reporing service cost is lower, directly attached to SQL Server, on the other hand, in fact, SSRS to a large extent, or to meet the needs of our report. In SQL Server 2008, SSRS has stepped up in a number of ways, "if Microsoft invests 1

ETL Design in BI project of data extraction, cleaning and transformation

ETL is the process that the data of the business system is loaded into the data warehouse after being extracted and cleaned, the aim is to integrate the scattered, messy and standard data in the enterprise to provide the analysis basis for the decision of the enterprise. ETL is the most important aspect of BI project, usually the ETL will spend 1/3 of the whole project time, ETL design directly connected to the success or failure of the

"Bi Thing" SQL Server 2008 Architecture

Tags: style blog http io ar os using SP forIn the original: "Bi Thing" SQL Server 2008 ArchitectureMicrosoft SQL Server is a platform that provides database and data analysis for online transaction processing, data warehousing, e-commerce applications.Architecture is a way of describing the relationship between components and elements of a system. The architecture of the Microsoft SQL Server System is a description of the main components of Microsoft

Introduction to "SQL Server 2008 Business Intelligence BI" data mining

importantly, it provides clues as to how the enterprise will be managed in the future, which may be helpful in managing the business. How do you derive meaningful information from all of this data? we use data mining to correlate data, and initially, when people look at the data, they may not immediately find these associations, but at least the association makes it easier to understand the data, and once people have a fresh understanding of the data, they can analyze the data more effectively

"Bi thing" Microsoft logistic regression algorithm--predicting the rise and fall of stocks

In the original: "Bi thing" Microsoft logistic regression algorithm--Forecast stock rise and fallData preparation:A set of stock history sold data (stock code: 601106 China One heavy), starting Date: 2011-01-04 to date, where variables are "open", "highest", "minimum", "close", "Total hand", "Amount", "ups and downs" and so onUPDATEFactstockSET [Ups and Downs] =N'Rise'WHERE [gains] > 0UPDATEFactstockSET [Ups and Downs] =N'Fall'WHERE [gains

"Bi Thing" Microsoft cluster analysis algorithm--three-person identity division

Original: "Bi Thing" Microsoft cluster analysis algorithm--three-person identity divisionWhat is cluster analysis?Cluster analysis is an exploratory method of data analysis. In general, we use clustering to group and categorize seemingly unordered objects to better understand the object of study. Clustering results require that the similarity of objects in group is higher, and the similarity between groups is low. In the Three Kingdoms data analysis,

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