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Discussion on data modeling methods in data warehouse construction

Discussion on data modeling methods in data warehouse construction The main content of this article is not to introduce some data models of the existing popular main industries, but to share some of my experiences in data warehouse construction projects. We hope to help you summarize a set of methods that meet the current

DFS Getting started two---DFS seeking connectivity blocks

It is also a typical problem to find the connected block with DFS, and the process of multi-dimensional array connecting block is also called "seed filling".We add numbers to the connected blocks that are traversed each time, so that you can avoid a lattice access multiple times. The typical problem is the "eight-block problem". That is, any two squares are located adjacent to each other (up and down diagonally a total of eight positions), then in a c

Discussion on data modeling methods in data warehouse construction

Introduction:The main content of this article is not to introduce some data models of the existing popular main industries, but to share some of my experiences in data warehouse construction projects. We hope to help you summarize a set of methods that meet the current industry standards and meet the data warehouse construction standards in most industries during the data

Development and implementation of the business intelligence platform for Small and Medium Enterprises (data warehouse, Bi system, and real project practices)

Development and implementation of the business intelligence platform for Small and Medium Enterprises (data warehouse, Bi system, and real project practices)Course category: data and data warehouseSuitable audience: elementaryLesson count: 76 lessonsTechnologies used: Data Warehouse, Bi system, and real project practiceInvolved projects: business intelligence platform for small and medium-sized enterprisesC

Square Division [dfs], square dfs

Square Division [dfs], square dfs Problem Description a square with a side length of L can be divided into L * L small squares. there are N stones in N small squares. Can we divide them into N squares so that each square has exactly one stone and the N squares exactly constitute the whole square. Input data first contains an integer T, indicating the number of test instances, followed by T group data. The f

Codeforces 515D Drazil and Tiles <路径dfs +="" 跳格=""> __ Solution strategy: Recursion </路径dfs>

Topic: Http://codeforces.com/problemset/problem/515/D : Give you a square, ask you to fill the square with 1x2, some squares have been occupied (with ' * '), not occupied ('. ') )。 Put up to fill, with "^v" said, horizontal up, with " Analysis: DFS, a pair of to find. Input 3 3....*....Output Not uniqueInput 4 4.. ***...*.**....Output *^*v** #include

(POJ3321) Apple Tree <dfs序列 树状数组=""></dfs序列>

and then Kaka pick it; Otherwise a new Apple has grown on the empty fork.Or"Q X" which means an inquiry for the number of apples in the sub-tree above the fork X, including the Apple (if exists) on The fork XNote The tree is full of apples at the beginning Output For every inquiry, the output of the correspond answer per line.Sample Input 31 21 33Q 1C 2Q 1Sample Output 32Source POJ monthly–2007.08.05, Huang, Jinsong Test Instructions:A tree with n nodes, beginning with an apple on each node. No

Steps to build a data warehouse

Data warehouses are subject-oriented, integrated, non-updatable, and changing over time, which determines that the system design of a data warehouse cannot be designed with the same design method as the traditional OLTP database.The original requirements of the Data Warehouse system are unclear, and constantly changing and increasing, the developer initially can not understand the user's clear and detailed

Implementation methods and steps of Data Warehouse Construction)

Data Warehouses are subject-oriented, integrated, non-updatable, and constantly changing over time, these features make sure that the system design of the data warehouse cannot be the same as that of the traditional OLTP database. The original requirements of the data warehouse system are unclear and -->With constant changes and incre

Data Warehouse theme design and metadata design

a common subject or business field. The following describes how to create an information package chart through information packaging technology to determine the topic and metadata in the data warehouse.3.4.1 information packaging technology1. Basic use of information packaging technology The information packaging method is a top-down design method, which focuses on one or more topics of an enterprise from the perspective of managers, focus on the mul

MAVEN (6) Warehouse

"0" README 1) Part of this text is transferred from "Maven Combat" to review "maven (6) warehouse" related knowledge;"1" What is Maven warehouse 1) Intro to widget: in Maven, any dependency, plug-in, or project-built output can be called artifacts, and any one component is uniquely identified by a set of coordinates;(dry-component definition) 2) Warehouse: Tha

Some basic concepts of data warehouse and data mining

The following content is taken from the Internet and sorted out. Terms: Bi (Business Intelligence): Business Intelligence, DW (data warehouse): Data Warehouse. For details, see section Q1. OLTP (on-line transaction processing): Online Transaction Processing It is also known as a transaction-oriented processing system. Its basic feature is that the customer's raw data can be immediately transmitted to the

Some basic concepts of data warehouse and data mining

The following content is taken from the Internet and sorted out.Terms:BI (Business Intelligence): Business Intelligence,DW (Data Warehouse): Data Warehouse. For details, see section Q1.OLTP (On-Line Transaction Processing): online Transaction ProcessingIt is also known as a transaction-oriented processing system. Its basic feature is that the customer's raw data can be immediately transmitted to the com

The sharp weapon of Telecom enterprises ' participation in competition-data warehouse and data mining

Data Warehouse and data mining--a sharp weapon to participate in the competition of digital telecommunication enterprises The solution of Guangdong Telecom Data Warehouse based on Sybase Guangdong Institute of Telecommunication Science and technology 1 overview With the opening of the telecom market, the competition will be more and more fierce. The reduction of profit makes it necessary to change from e

What is a data warehouse and its difference from traditional relational databases?

What is a data warehouse? Bill inmon, father of data warehouse, was widely accepted in the definition proposed in building the Data Warehouse published in 1991, A data warehouse is a topic-oriented (subject oriented), integrated (integrate), relatively stable (non-volatile), and time variant data set, used to support m

Microsoft Data Warehouse Architecture!

Schema | Data Microsoft Data Warehouse architecture Absrtact: This article briefly introduces the data warehouse using the Microsoft Data Warehouse architecture, discusses the functions that the data warehouse can implement, the appropriate time to use the Data Warehouse, a

Maven's (v) Maven Warehouse

Local Warehouse One of Maven's most prominent features is Jar package management, which, once the project needs to rely on which jar packages, can be configured in Maven's Pom.xml, the jar package will automatically introduce the project catalog. For the first time, it will be amazing, so let's explore how it works. First of all, these jar bags are certainly not the children who have no father or mother, they have come, there are places. Places wh

Website Data Warehouse Overall structure diagram and introduction

Data WarehouseThe purpose of the Data Warehouse is to build an integrated data environment for analysis, providing decision support for the Enterprise (decision supports). In fact, the data warehouse itself does not "produce" any data, at the same time it does not need to "consume" any data, data from outside, and open to external applications, which is why it is called "

The practice of data Warehouse based on Hadoop ecosystem--etl (iii)

coordination jobsHDFs dfs-put-f coordinator.xml/user/root/(4) Run the coordination jobOozie Job-oozie Http://cdh2:11000/oozie-config/root/job-coord.properties-runFrom the Oozie Web console, you can see the coordinated jobs ready to run, with the status of Prep as shown in.This coordination job starts on July 11, 2016 and executes 14 points per day. The end date is very late, which is set for December 31, 2020. Be aware of the time zone settings. Oozi

21 principles of data warehouse design

21 principles of data warehouse design-7 steps, 7 taboos and 7 ideas Seven steps for efficient data warehouse implementation The data warehouse has some kinship with our common RDBMS systems, but it is different. If you have not implemented a data warehouse, from setting goals to providing design, from creating a d

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