caboodle data warehouse

ETL concepts The three ETL letters represent extract, transform, and load, namely, extraction, conversion, and loading. (1) Data Extraction: extract the data required by the target data source system from the source data source system; (2) Data Conversion: Convert the

---note---Database Warehouse:1. Theme-oriented2. Data integration (cleanup)3. Time-variant of the database4. The non-volatile nature of data5. Support decision-making systemData Warehouse using parallel structureAdopt a new query optimization strategy and index structureDatabase warehouse conceptual model (

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

[Author: Zhang banquet this article version: V1.1 final modification: 2010.05.18 reprinted please specify the original article link: http://blog.s135.com/infobright/] [For details, refer:Data Warehouse http://tech.techweb.com.cn/thread-389359-1-1.html Based on MySQL and infobright] Infobright is an open-source data warehouse software integrated with MySQL. It can

Dimension Modeling Method Dimension modeling organizes information into structs, which typically correspond to the query methods that analysts want to use for data warehouse data. How much food sales were in the northwest in the third quarter of 1999. Represents the use of three dimensions (product, geography, time) to specify the information to be summarized. S

The difference between OLAP and OLTP and what is Data Warehouse OLAP is often referred to as a data warehouse. But the data warehouse is only part of OLAP, not all. OLTP multi-index than OLAP, and the real-time requirements of hig

The previous article describes the backup and restore of SVN data in a Windows environment, and this article describes data migration under Linux environments. A preparatory work 1 Installation Environment 1 CentOS 7 2 available online 2 Software Requirements 1 WinSCP 2 PuTTy All of our command operations are on top of the putty, and the following is no longer emphasized, because the SVN environment of Linu

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

Model design of Data Warehouse A. Data Modeling MethodologyThe design of the Data warehouse model follows the design principle of "top-down and gradual refinement".The design of the model is divided into three stages:1 , the conceptual modelThe scope and use of the business,

Original Address http://blog.itpub.net/23659908/viewspace-1118762/ Thank you. model design of Data Warehouse A. Data Modeling Methodology The design of Data warehouse model follows the design principle of "top-down and gradual refinement". Model design is divided into three

In the data warehouse project, ETL is undoubtedly the most tedious, time-consuming, and unstable. If the data source and target are both oracle and meet certain conditions, you can use In the data warehouse project, ETL is undoubtedly the most tedious, time-consuming, and un

MySQL big data warehouse receiving (single table) bitsCN.com MySQL big data warehouse receiving (single table) Recently, I have been studying data warehouse receiving. for the INSERT command, a small amount of

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

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

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,

1. Users should consider the business scope, responsibilities, and computer performance. 2. Determine what decisions a business user wants to make with the help of a data warehouse 3. Identify the best users who use data warehouses for high-efficiency Decision Making 4. Search for potential new users and let them know about the

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

Demo source code Background I wanted to talk about the background of this article, and later I found that the native word is poor. Therefore, in this topic, we use delegation to implement a global data cache warehouse. This class Library receives four parameters: 1. the Data Type of the data to be stored; 2. the method