IBM DB2 Data Warehouse Edition is a set of products that combine the strengths of DB2 Data servers and the robust business intelligence infrastructure from IBM. DB2 DWE integrates Core Components for
The following describes the functions and usage of the DB2 data warehouse center. If you are interested in the DB2 data warehouse, take a look.
DB2 on Windows and AIX comes with a
Differences between OLAP and OLTP Environments
1 The performance tuning in the DB2 data warehouse environment is different from that in the OLTP environment, mainly manifested in the following aspects:
1.1 transaction length. Transactions in the OLTP environment are usually short transactions, including multipleSQLStatements, which can often be completed within s
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
Brief introduction
DB2 Warehouse combines the powerful data support of IBM DB2 and a set of IBM Business Intelligence (Business Intelligence) products to provide a comprehensive business intelligence platform and its application tools, These components enable organizations to build and deploy analysis solutions for ne
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)
Adopt flexible and effective methods to plan, design, and implement Basic Data Warehouse solutions based on IBM DB2 Data Warehouse Edition. Part 1 of this series will focus on the customer interaction process and plan data
Data warehouse design purpose and data warehouse design purpose
The purpose of data warehouse design or the criteria for measuring success:
1. The data
information at different levels is in each level. The following table is a simplified example of an entity-level ETL data mapping table. Each "X" in the table represents a link to the operation details or the lower-level data map document.
Table 1. ETL Entity Mapping table
Source
Verify
Clean
Transformation
Integration
Gathered
Goal
Account Customer
X
First, what is a data warehouse
The traditional data warehouse concept is that data warehouse is a structured data environment for decision Support System (DSS) and on-line analysis app
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 relationship between the object and the object. For example, at this stage, we can use modeling tools such as Erwin to create a 3nf-compliant relational data model.4. Physical Modeling stageThe physical modeling stage is the last process of data modeling. This process is actually a process of putting the previous Logical Data Model into practice. Considering
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
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
express the relevance between businesses.
At this stage, I suggest you refer to the 3nf modeling method to express the attributes of an object and the relationship between the object and the object. For example, at this stage, we can use modeling tools such as Erwin to create a 3nf-compliant relational data model.
4. Physical Modeling stage
The physical modeling stage is the last process of data modeling.
Tags: OLAP online analytics for Data warehouse applicationsRelated articles:Data Warehouse Application (i): Data Warehouse model designData Warehouse Application (ii): Data extraction,
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
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
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