data granularity in data warehouse

", "email address occupied "));/*** Overwrite the method for adding data to the database of the parent class.* Perform md5 encryption on the user password first, and then call the parent class method to write the data to the database.*/Public function create ($ data ){$ Data = array_map ("addslashes", $

In order to set up the Data warehouse in the SS function, there is some controversy in the team. The main focus is on why to provide this function, in the end there is no need for such issues, but ultimately this function is still on. Believe that the initial users will have the same question, I would like to introduce some of the use of data warehousing, but als

In SVN , our project is not called a project or a folder, but it's called a "warehouse."Steps for building a warehouse:1,Create a code WarehouseL Create a folder under any drive letter (D:\svn\myApp\) as our version of the Coogan directory, such as we need to build a shop project, the current shop can only be counted as a folder, not "warehouse"L Svnadmin Create

then call the parent class method to write the data to the database.*/Public function create ($ data ){$ Data = array_map ("addslashes", $ data); // escape punctuation marks (single or double quotation marks) in the data$ Data ["

user password first, and then call the parent class method to write the data to the database. */ Public Function create ($ data ){ $ DATA = array_map ("addslashes", $ data); // escape punctuation marks (single or double quotation marks) in the data $

When foreign banks enter the Chinese market, they often adopt differentiated service strategies, that is, they use standardized products, advanced management and services, and advanced information technology to win local gold customers and then expand the market. This requires domestic commercial banks to strengthen the construction of analytical application systems, strengthen business management and decision-making analysis, understand customer needs and credit risks, and develop new products

analysis to help policymakers better grasp future trends. According to these requirements, the information system of national credit securities needs strong backstage support, and it also needs excellent front-end application to help it provide integrated applications, real-time processing, intelligent decision support and other characteristics. Overall, the system needs to accurately understand and grasp the history of the company's business, timely grasp of the current operating conditions,

Book inventory plays an important key business data for warehouse management operations in books. Development at any age now promotes blood circulation in books, book types and update speed are just as fast rising.In order to ensure a foothold in the book industry, to ensure the correct purchase and inventory control and delivery. In order to avoid the backlog of goods, management costs added. However. Trad

We must be able to clearly express and implement enterprise data from the macro to the micro. First, we need to have a global understanding of how to integrate the entire CRM system to obtain high-level data views and abstract them to define the scope of several logic data topics; then, analyze the data and define t

We often encounter this problem in the design of the Data Warehouse: If the dimension has only one attribute in the dimension design, is the choice to create a single dimension for this attribute, or will the attribute of that dimension be placed directly in the fact table as part of the fact table?Suppose there is a dimension, which is usually designed with at least two columns (Dimkey and Dimattribute pro

[Author]: KwuAutomated scripts to import hive Data Warehouse on a daily scheduleCreate shell scripts, create temporary tables, load data, and convert to a formal partition table:#!/bin/sh# upload logs to hdfsyesterday= ' date--date= ' 1 days ago ' +%y%m%d ' hive-e ' use stage;create table tracklog_tmp (DA Teday string,datetime string,ip string, Cookieid string,us

In the use of hive Data Warehouse large data query, there is a common problem is that the query is slow, can not give users a quick data analysis query. For decision-makers, how to get the data of user behavior analysis at the second level is a topic, The previous approac

What is a data warehouse, and what is the difference between a databaseDataWarehouseis a subject-oriented (Subject oriented), integrated (integrate), A relatively stable (non-volatile), data collection that reflects historical changes (timeVariant) to support management decisions. (1) topic-oriented: Index data in the

=N'account_3',FILENAME=N'E:\account_3.ndf',SIZE=409600KB,FILEGROWTH=20480KB)TOFILEGROUP[account_3] GO16 2 Use ssis copy table sp_spaceusedaccountdetail; /*deleteEarnTimeisnotnull*/ /*23sec*/ deletefromaccountdetailwhereEarnTimeisnull /*26sec*/ deletefromaccountdetailwhereisnull(CommitStatus,0) /*12sec*/ deletefromaccountdetailwhereisnull(EarnStatus,0)=0 Partition the transmitted table /*createpartitionfunction*/ declare@bdatechar(8),@edatevarchar(8

uses Smalltalk to write their own desktop interface in Windows environment. It runs on the SGI Challenge 150s hardware as a large, cross-platform generator that uses two Sybase SQL Server 10 databases. The front-end is a metadata server that describes the enterprise's data and, with it, users can construct their query requests directly on the screen. It generates a C code base for database queries, has specific code for each integrated package, and s

> ODS Layer Mainly responsible for collecting business systems and keeping relevant business data for a certain period of time. Of course, you can also meet the user's query requirements for detail data, but also can be counted as a detail warehouse. > Data Warehouse Layer T

Tags: des blog http io os using AR strong for[Article Zhang Feast this article version: v1.1 Last modified: 2010.05.18 reproduced Please specify the original link: http://blog.zyan.cc/infobright/]Infobright is a MySQL-integrated open source data Warehouse software that can be used as a storage engine for MySQL, and select queries are no different than normal MySQL.　　First, the basic characteristics of Infob

level.Use DW; CREATE TABLE Month_dim ( month_sk INT comment ' surrogate key ', month tinyint comment ' month ', month_name Varc Har (9) Comment ' month name ', quarter tinyint comment ' quarter ', year smallint comment ' year ' ) Comment ' Month Dimension table ' clustered by (Month_sk) into 8 buckets stored as orc tblproperties (' transactional ' = ' true ');In order to import the month dimension synchronously from the date dimension, the month is loaded into a preloa

What is the difference between OLAP and OLTP and what is data warehouse?OLAP is usually called a data warehouse. However, data warehouses are only part of OLAP, not all.OLTP has more indexes than OLAP, and has high requirements on real-time performance, with many updates and

The specific database that we create for a program is generally called a transactional database (Transaction), and its data Warehouse (DW) is very different. 1. Transactional databases help people perform activities, and data warehouses help people plan. For example, a transactional database might show which seats on a flight are empty, so passengers can make res