olap in data warehouse

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Database and Data Warehouse differences

Data Warehouse is a subject-oriented (Subject oriented), integrated (integrate), relatively stable (non-volatile), data collection that reflects historical changes (time Variant). Used to support management decisions.(1) Topic-oriented: Index data in the warehouse is organiz

Kickfire: SQL chip boosts MySQL data warehouse _ MySQL

Kickfire: the SQL chip boosts the MySQL data warehouse to equip every MySQL database server with an SQL chip. this is a vision of Kickfire to focus on the data warehouse market. Kickfire launched the Kickfire Database Appliance test version integrated with the new SQL chip in April 14. The company said that the SQL ch

Granularity in data warehouse

What does the granularity in the data warehouse mean? Granularity is one of the most important aspects of data warehouse design. Granularity refers to the level at which the data stored in the data unit of the

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

Quick installation notes for MySQL infobright Data Warehouse

[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

Data Warehouse Dimension Modeling

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

Relational data Warehouse partitioning strategy in SQL Server (1)

Partitioning a relational data warehouse The following sections will briefly explain the concept of a relational data warehouse, the benefits of partitioning a relational data warehouse, and the benefits of migrating to Microsoft

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

MySQL big data warehouse receiving (single table) _ MySQL

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

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

Two types of Data Warehouse construction theory Bill Inmon vs. Ralph Kimball_data

In the field of data warehousing, we often hear some personal or organizational debate about the theory of data warehousing, whether it belongs to Bill Inmon or Ralph Kimball faction. Below we will describe the difference between the two. Bill Inmon Paradigm:The Data Warehouse is part of a holistic business intelligen

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,

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

Oracle Learning Data Warehouse (i) Import Oracle 11g Global samples schema

Oracle 11g provides a sample schema for the Data Warehouse, and you can download the sample installation files by following the links below.Http://www.oracle.com/technology/products/bi/olap/doc_sample_schemas/global_11g_schema.zipUpload the downloaded file to the Oracle server and unzip it.[[emailprotected]~]$mkdirglobal_11g_schema[[email protected]~]$unzip-dglob

Use delegation to implement your own data cache 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

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

Sybase Data Warehouse Dapeng Securities application Case

management gradually realized: to enhance the core competitiveness of brokerage business, we must change the original "Securities trading as the center" mode of operation, the introduction of customer relationship management concept, the implementation of customer relationship management, the establishment of "customer-centric" Brokerage Business Operation mode. By understanding the customer's behavior profile, investment needs, investment trends, risk tolerance, targeted "one-on-one" personali

What are the difficulties in data Warehouse development?

Recently, a friend asked, data warehouse development difficulties. Do a few years of data warehousing, talk about Data Warehouse Technical Difficulties, I personally think no, what large data query and processing,

Comparison of two data warehouse design architectures

Bill Inmon and Ralph Kimball, who were exposed to two names at school, were unfamiliar to most of the two Americans, but they were a resounding figure in the database field. Bill Inmon, known as the "Father of the Data Warehouse", he can now see a lot of scholarly papers and articles on the Web, and Wikipedia's introduction to him should be very comprehensive: in the 80 's, Inmon's "

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

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