data granularity in data warehouse

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Partitioning policy of relational data warehouse in SQL Server (1)

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

Hierarchical Manager Solution for Oracle Data Warehouse

Abstract: This article describes the principles, steps, and restrictions of the hierarchical manager, and combines it with Oracle Data warehouse to achieve effective storage, management, and quick browsing of large-scale data. Quick viewing of metadata in the keyword layered Manager    Preface The 21st century is the century of information, and the competition

Concept of data warehouse

-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

Enhanced Oracle9i Data Warehouse and Its Value

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

Consider the feasibility of two kinds of data Warehouse architecture coexistence

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 Kimball. But the "Father of Data

Concept of Data Warehouse

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

The difference between the data warehouse and the transaction type database

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

Relational data Warehouse partitioning strategy in SQL Server (2)

when the database is restored If all partitions are mapped to the same filegroup, the partitioned table as a whole can be backed up and restored using a single commandThis policy does not provide the flexibility of fragmented backups under the granularity of a single partition Query performance If the filegroup contains only one file, and the table is populated one after another, the allocation of the extents of such an

Open-source MySQL Data Warehouse solution: Infobright

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

Brief summary of Data Warehouse vs Database

This article briefly summarizes the following two questions aimed at a quick understanding of the "Data Warehouse"1. What is a "Data Warehouse"?2. What is the difference between "Data Warehouse" and "database"?Here is a detailed e

Use Hive to build a data warehouse

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

[Shanghai] recruiting. Net Senior Software Engineer & BI Data Warehouse Engineer (urgent)

, 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

How indexes are used in the Data Warehouse

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

Basic concepts of Data Warehouse

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

A brief explanation of common nouns in data Warehouse

A brief explanation of common nouns in data data Warehouse Data Warehouse in the middle of the 80 's, Mr. William H.inmon, the "Father of the warehouse", defined the concept of data war

Considerations for designing a Data Warehouse (part II)

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

Data Warehouse and Enterprise application integration (II.)

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,

Building a high-performance Data Warehouse with SQL Server 2005

A Introduced Some "super users" with access to data have learned professional Transact-SQL. The convenience of the Report Builder in SQL Server 2005 Report Services (SSRS) extends to the creation of powerful Transact-SQL queries, making it easier for more users to use it. Their ability to consume system resources is beyond their capabilities, posing a challenge to the database administrator (DBA) in maintaining consistent performance. However, when S

Data Warehouse scalability of SQL Server 2008 new features (i)

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

DataBase vs Data Warehouse

://en.wikipedia.org/wiki/Data_warehouse In computing, a Data Warehouse (DW or DWH), also known as an enterprise Data Warehouse (EDW), is a system used for reporting and data analysis, and are considered a core component of business Intellig ence. [1] DWs is central

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