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political support is very important. It Gets the Data Warehouse project manager off the hook and puts the burden of the decision making process on senior Manag Ement ' s shoulders, where it belongs. 三、二级 Data Mart (Second-level-Marts) After you has represented all the major production sources in the enterprise with First-level
the height of the whole enterprise, the data model described by entity plus relation describes enterprise business structure, which conforms to 3NF in the paradigm, and differs from 3NF in OLTP system, in which the 3NF on the Data Warehouse is based on the topic-oriented abstraction of the enterprise. Rather than an abstraction of the entity object relationship
Create | data How to create a successful data Warehouse (Warehose), the following story will tell you! The company's ' s ' Warehouse project began with a casual conversation between several executives on their way to LUN Ch. The people involved were the IT manager for decision support as as and as several members of
This article outlines the general process of using OWB to create a data warehouse. Oracle's OWB is one of the three most current ETL products. OWB can not only complete data extraction, conversion and loading, but also help users create ROLAP (relational online analysis Process) and MOLAP (multidimensional online) in Oracle database Analysis Process)
Search for "Inmon and Kimball" on Google, and you'll easily find the concepts of these two names, which are two of the best-known ways of data Warehouse architecture. In this ocean of information, however, you will find that almost all of the content can come to a conclusion, that is, to choose between Bill Inmon and Ralph Ki
cases, the star pattern is layered into the snowflake model, that is, the star pattern is further layered and the data redundancy is reduced. To say so much, simply to answer two questions: Repeatability interactivity. The two issues correspond to two entities, data warehousing data marts. Let's compare the differences between the two entities. Everyone s
, and object relationships from the logical model of the Business System Data Model. From the author's point of view, the biggest advantage of inmon's paradigm modeling method is that from the perspective of relational databases, combined with the data model of the business system, data warehouse modeling can be easil
limited to relational databases, the flexibility and performance of the entire data warehouse model are limited in some cases, especially when the underlying data of the Data Warehouse is summarized to the data in the
Data warehouse design purpose and data warehouse design purpose The purpose of data warehouse design or the criteria for measuring success: 1. The data
1. The concept of Data Warehouse began in the 1980s S and first appeared in the book William H. Inmon, known as "the father of Data Warehouse. As people deeply recognize and constantly improve the research, management, and maintenance of large data systems, after summing up,
3 guys came to a business. The first (data Warehouse) was burly: He brought history and experience, and he could say that most of the words were true. But, in many ways, it is bloated and wasteful in other ways, and people are tired of the costs of the various outcomes. Apache Hadoop entered the same building, claiming to take over the entire market. He preaches big dat
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
Brief introduction The business environment is changing rapidly, and so is the type of business data. A successful Data warehouse solution is based on flexible design that adapts to changing business data. The architecture of data Wareh
Introduction to ETL technology: Introduction to ETL, data warehouse, and etl Data WarehouseETL is the abbreviation of Extract-Transform-Load. It is used to describe the process of extracting, transforming, and loading data from the source to the target. ETL is commonly used in data
The Kimball of Master Ralph: The Inmon of Bill master 1. Brief introduction The architecture design of BI system is the core of Data Warehouse architecture design. In the field of Data Warehouse architecture, there are two schools of theoretical knowledge, which were pr
PHP-based data warehouse receiving Program (2): php-based data warehouse receiving program In the previous article, the Program for collecting data into the database based on PHP (ii) mentions the list data on the news information
Tags: OLAP online analytics for Data warehouse applicationsRelated articles:Data Warehouse Application (i): Data Warehouse model designData Warehouse Application (ii): Data extraction,
Before you start About this series This tutorial series Informix Warehouse Feature introduces the features and features of the new client and server Software in Informix Warehouse. You can use these tools to create and deploy data Warehouse projects, to model databases on the Informix
PHP-based data warehouse receiving Program (1): php-based data warehouse receiving program A friend asked me to help me develop a program for collecting news information a few days ago. I took some time to write a PHP version and recorded it as needed. When it comes to collection, it is nothing more than obtaining info
Microsoft vs. Yahoo! The long-running purchase war may put many people tired of news. But today we see this about Yahoo! The technical news is worth reading: Size matters: yahoo claims 2-petabyte database is World's biggest, busiest. Yahoo! VP Waqar Hasan of disclosure Yahoo! The current data warehouse capacity is 2 Pb. It is used to analyze 0.5 billion of user access behavior every month and process 24 bil
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