data warehouse tutorial

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

[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

=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

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

Warehouse. From here you can see that it has several features:1. The redundancy of the dimension tables is large, mainly because the dimensions are generally small (relative to the fact table), and the redundancy of the dimension tables can save a lot of space in the fact table. 2. Fact sheets are generally very large, and if queried in an ordinary way, the time to get the results generally is not acceptable to us. So it usually has to do some specia

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

", "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", $

Using the Javadate class Data Warehouse dimension tableDate Category:, returns the number of milliseconds for a relative date. Accurate to milliseconds. However, the internationalization and sub-timezone display of dates is not supported.The date class began to evolve from the Java Development Package (JDK) 1.0, when it included only a few ways to get or set the various parts of a date

1. Environmental preparednessOs:centos 6.4Turn off SELinux and iptablesDeployment Puppet: 1.0 Puppet 3.7 Department Install puppet Source: http://yum.puppetlabs.com/puppetlabs-release-el-6.noarch.rpmComplete Puppetmaster/agent deployment, certificate signing ...PUPPETDB is a data warehouse that can query nodes, facter, report, catalog, resources and other information through restful HTTP.2. Installing PUPPE

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 $

> 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

original disk on the large amount of IO overhead and CPU compression work to achieve a better tradeoff. The compression rate is approximately 90%. In addition, Vertica's write data and read data are separated, the read data in a compressed state exists on the disk, the written data is first in memory, the asynchronous

Based on the Informix Data Warehouse system implementation methodology, we can divide the implementation of the data warehouse into the following steps: 1. Business Needs analysis Business requirements analysis is the basis of data war