Choosing the right Data warehouse technology is never easy. Whether the traditional enterprise Data Warehouse software or the current very popular data Warehouse integration equipment, how to choose the right solution to meet the
We recommend that you read and understand the following articles:
◆ Use a partition in a Microsoft SQL Server 2000 data warehouse-http://msdn.microsoft.com/library/default.asp? URL =/library/techart/PartitionsInDW.htm◆ SQL Server 2000 step by step batch import case study-http://www.microsoft.com/technet/prodtechnol/ SQL /2000/maintain/incbulkload.mspx◆ Kimberly L. Tripp: SQL Server 2005 Partition Table and
The specific database that we create for a program is generally called a transactional database (Transaction), and its data Warehouse (DW) is very different. 1. Transactional databases help people perform activities, and data warehouses help people plan. For example, a transactional database might show which seats on a flight are empty, so passengers can make res
-makingStorage is called Data Warehouse (DW ).W. H. Inmon defines data warehouse as a topic-oriented and integrated data warehouse that supports management decision-making processes..A topic is the standard for
The index of the Data warehouse is a tricky issue. If there are too many indexes, the data is inserted quickly but the query response is slow. If too many indexes, the data import is slow and the data is more storage space, but the query responds faster. The role of indexes
supportedWorkarounds such as SQOOP1.
3. Extracting Data using SqoopIn this example, you use SQOOP1 to extract data from the MySQL library to hive.There are two ways to import data from the source to the Data Warehouse (RDS in this example), you can fetch the
Building a real data warehouse in a data warehouse may be a huge project. There are many different devices, methods, and theories. What is the greatest common value? What are facts and what are theme related to these facts? And how do you mix, match, merge, and integrate systems that may have existed for decades with s
this process, such decision-making and special data storage is called Data Warehouse (DW ).
W. H. Inmon defines a data warehouse as a topic-oriented, integrated, stable, and time-varying data set that supports management decisio
Infobright is a column-based database based on unique patented knowledge grid technology. Infobright is an open-source MySQL Data Warehouse solution that introduces the column storage solution, high-strength data compression, and optimized Statistical Computing (Class
Infobright is a column-based database based on unique patented knowledge grid technology. Infobr
Design | data
End Users
The end users are whom you are designing and building the Data Warehouse for? Your customers. They rely on the information They extract, the warehouse in order to work more effectively and efficiently. They also ultimately determine whether or not your Data
, good and standardized programming habits, and technical document writing habits;
Strong sense of responsibility, good cooperation spirit, learning and communication skills;
Understand the knowledge and concepts related to business intelligence (BI) product development;
Experience in data warehouse or bi project development is preferred.
Bi 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. With
Profound recognition and continuous improvement in system research, management, and maintenance. After summing up, enriching, and integrating the experience of multi-row en
Data
Three CIF Case-sap BW
The main feature is that ERP vendors provide the entire architecture, which saves a lot of design work, and reduces the cost of design and development, encapsulation of the business in BW, reducing the difficulty of long-term maintenance. ERP data resources are very rich and valuable, should be an important source of data warehousing,
-makingStorage is called Data Warehouse (DW ).W. H. Inmon defines data warehouse as a topic-oriented and integrated data warehouse that supports management decision-making processes..A topic is the standard for
Welcome to the Oracle community forum, and interact with 2 million technical staff to access the data warehouse. different data sources must be obtained from different data sources, in addition, this huge amount of data is converted into available
Tags: Data Warehouse optimizationin the absence of a real data warehouse database, now all data warehouses are just a relational database created based on the dimension model, but the Data War
1. Introduction
Microsoft SQL Server 2008 provides a comprehensive data warehouse platform. It allows you to build and manage your data warehouse using a separate, integrated suite of products, and allows you to provide insights to your users. It can meet the needs of the largest enterprise and give your end users and
Based on the Informix Data Warehouse system implementation methodology, we can divide the implementation of the data warehouse into the following steps:
1. Business Needs analysis
Business requirements analysis is the basis of data war
Directory
Objective
Principle
Content
Summary
Preface
The previous article described the business Modeling and domain concept modeling in the Data warehouse model design, and then came naturally to the phase of the logical Data Modeling LDM (Logical data Model), which is on
IntroductionThe data warehouse architecture is a branch of the IT architecture. As the core role of data in enterprises increases, the data warehouse architecture becomes increasingly important. The data
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