unstructured data data warehouse

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Data Warehouse design without primary key foreign key

Prior to the deployment of the company BI Project example, found that the database tables are not set the primary key, foreign keys, has been thought to be a simulation project, the reason for not rigorous requirements. Today we know that the Data Warehouse is not designed for primary and foreign keys. These constraints should be done when ETL is programmed to ensure that all

What are the difficulties in data warehouse development?

Recently, a friend asked, what are the difficulties in data warehouse development? After several years of development, we talked about data warehouses.TechnologyI personally don't think it is difficult to query and process large amounts of data and ETL processes in a data

Correct understanding of four types of data warehouse modeling methods of SQL Server

SQL ServerCategory 4Data warehouse modelingMethods are mainly divided into the following four types. The first type is the three-paradigm modeling of relational databases. We usually use the three-paradigm modeling method to build various types of operational database systems. The second category is the three-paradigm data warehouse modeling promoted by inmon,

How do I install jar (or war) dependency to a local data warehouse?

How do I install jar (or war) dependency to a local data warehouse?The following example shows how to upload the DWR. jar package to a local data warehouse.-DownloadDWR. JarPackage to local, I put it to C:/(c disk root directory), shows: -Enter the "command line prompt", enter C:/, and then execute MVN install: Instal

Data Warehouse Components

Data Warehouse components: Subject Presentation: Support: 1. product-based Metadata Management Center 2. product-based Data Quality Control Platform 3. the support behind excellent scheduling and job monitoring tools is the cornerstone of entity presentation. Data Warehouse

Open source Mysql Efficient Data Warehouse Solution: Infobright Detailed Introduction _mysql

Infobright is a column-type database based on a unique proprietary knowledge grid technology. Infobright is open source MySQL Data Warehouse solution, introduced a column storage solution, high-strength data compression, optimized statistical calculation (similar to Sum/avg/group by), Infobright is based on MySQL, but do not install MySQL can also, Because it its

Mayfish data warehouse receiving verification code

", "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", $

The magical uses of Data Warehouse

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

MySQL Data Warehouse Solution infobright detailed

Infobright is a column-type database based on a unique proprietary knowledge grid technology. Infobright is open source MySQL Data Warehouse solution, introduced a column storage solution, high-strength data compression, optimized statistical calculation (similar to Sum/avg/group by), Infobright is based on MySQL, but do not install MySQL can also, Because it its

SVN--SVN Data Warehouse

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

Mayfish data warehouse receiving verification code

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 ["

Mayfish data warehouse receiving verification code

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 $

Dimension design of a property of small knowledge of data warehouse design

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

Informix Data Warehouse Processing method

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

Automated scripts to import hive Data Warehouse on a daily schedule

[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

"User Behavior Instant Analysis query" Data Warehouse implementation case sharing _impala

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

How to accelerate data warehouse loading without adding hardware

=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

Sybase Data Warehouse settled in Statistics Canada

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?

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

Dimension table, fact table, Data Warehouse, BI ...

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

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