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Multidimensional data modeling organizes data in an intuitive way and supports high-performance data access. Each multidimensional data model is represented by multiple multidimensional data patterns, and each multidimensional data
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
data redundancy caused by the problem is not the reason to apply the database paradigm. Therefore, not the higher the application paradigm, the better, depends on the actual situation. The third paradigm has largely reduced data redundancy and reduced the number of insertions, updates, and deletions. My personal view is that most of the cases applied to the third paradigm are sufficient, and in some cases
0x00 Preface The following content, is the author in the study and work of some summary, of which the concept of most of the content from the book, the practical content mostly from their own work and personal understanding. Due to the lack of qualifications, there will inevitably be many mistakes, I hope to criticize. Overview The Data warehouse contains a lot of content, which can include architecture, m
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)
Data warehouse design purpose and data warehouse design purpose The purpose of data warehouse design or the criteria for measuring success: 1. The data
key performance indicators and key business measurement values. They are a way to measure business information in a dimension space. For example, the product income amount, raw material consumption, and replenishment of new employees or equipment running time can all be called indicators. (3) create a star chart based on the information packaging diagram, analyze the detailed category entities, expand it to a snowflake chart, and establish a logical
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
Model The snowflake model is an extension of the star model. Each dimension can be connected to multiple specific category tables. In this case Mode. In addition to the dimension table function in the star model, dimension tables are connected to fact tables. Detailed description of the foreign category table. By describing the dimension of a fact table To narrow down fact tables and improve query efficiency. Q4: how to design and establish a
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
The snowflake model is an extension of the star model. Each dimension can be connected to multiple specific category tables. In this case Mode. In addition to the dimension table function in the star model, dimension tables are connected to fact tables. Detailed description of the foreign category table. By describing the dimension of a fact table To narrow down fact tables and improve query efficiency. Q4: how to design and establish a
Tags: OLAP online analytics for Data warehouse applicationsRelated articles:Data Warehouse Application (i): Data Warehouse model designData Warehouse Application (ii): Data extraction,
through keyword.Snowflake modelThe snowflake model is an extension of the star model. Each dimension can be connected to multiple specific category tables. In this caseMode. In addition to the dimension table function in the star model, dimension tables are connected to fact tables.Detailed description of the foreign category table. By describing the dimension of a fact tableTo narrow down fact tables and improve query efficiency.Q4: How to design an
Corners are dimension entities that restrict the user's query results and filter data so that fewer rows are returned from the indicator entity query, narrowing the range of access. Each dimension table has its own attributes, and the dimension table and fact table are associated by keyword.Snowflake modelThe snowflake model is an extension of the star model, and each dimension can be connected outward to
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
The life cycle approach provides a roadmap for the development of data warehouses, and the overall structure and steps of the life cycle approach are Define Business requirements Technical path Technical Architecture Design Selection and installation of products Data path Dimension modeling Physical design ETL Design and development Bi app Path
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
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
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