data granularity in data warehouse

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BI architecture and data warehouse design

BI architecture and data warehouse design (14:26:41)BI architecture and data warehouse design A data warehouse solution is often related to a large Bi strategy. When you plan to use the fast tracing architecture, the most impo

Several types of fact tables for the Data Warehouse

Transaction fact tables, periodic snapshot fact tables, and cumulative snapshot fact tables, fact snapshotsIn the field of data warehousing there is a concept called transaction fact table, in which Chinese is generally translated into "Transaction fact tables".The Transaction fact table is one of the three basic types of fact tables in the Data warehouse modeled

Open-source MySQL efficient data warehouse solution: Infobright details _ MySQL

This article mainly introduces the open-source MySQL efficient data warehouse solution: Infobright details. This article describes the features of Infobright, the value of Infobright, the applicable scenarios of Infobright, and the comparison with MySQL, for more information, see Infobright, a column-based database based on the unique patented knowledge grid technology. Infobright is an open-source MySQL

Data Warehouse Series: The three types and prototype design of the common slow-changing dimension

In the process of extracting data from an OLTP business database to a DW data warehouse, especially after the first import, the problem is that some data in the business database has been changed to reflect these changes to the Data ware

Data warehouse model development methodology

Data warehouse model development methodology (for future reference) Based on the business data model, the data model of the data warehouse system is formed through the eight-step conversion process: Procedure Action

Model design of Data Warehouse

practice is to:1) Data summary. Summarize the underlying data in small granularity by dimension2) Information aggregation. Aggregates information from multiple tables in a single table. The benefit of this is to avoid using table associations to improve query performance.C. Topic Domain design methodologyIf layered design is a horizontal design principle, then t

Use partitions in SQL Server 2000 Data Warehouse

The partition view joins the horizontal partition data from a group of Members to make the data look like it is from the same table. SQL Server 2000 distinguishes the local partition view from the distributed partition view. In the local partition view, all related tables and views reside on the same instance of SQL Server. In the distributed partition view, at least one table in the relevant table resides

Database and Data Warehouse

intelligence can assist business decision-making, which can be either operational or tactical or strategic. To turn data into knowledge, you need to leverage technologies such as data warehousing, online analytical processing (OLAP) tools, and data mining. Therefore, from the technical level, business intelligence is not a new technology, it is only

Model design __DW of Data Warehouse

Original Address http://blog.itpub.net/23659908/viewspace-1118762/ Thank you. model design of Data Warehouse A. Data Modeling Methodology The design of Data warehouse model follows the design principle of "top-down and gradual refinement". Model design is divided into three

Introduction to OSFA and data warehouse in Oracle

Oraclew.alservicesapplication (OFSA) Technology Platform: Includes OracleWarehouseBuilder data warehouse building tool, Oracle8i Database, OracleExpress multi-dimensional database, CommonWarehouseMetadata Common Data Warehouse metadata management tool, OracleInternetDevelopSuites Business Intelligence Oracle Financial

Implementation method of lightweight Data Warehouse

1 Introduction Database has become an indispensable part of large software, database is playing a more and more important role in software system, and database design is becoming an important factor affecting software performance and robustness. As the complexity of the software architecture grows higher, developers have to design more tables to store the data they need. The more tables, the more complex the database. Complex databases don't have any

The basic architecture of the Data Warehouse

The purpose of the data Warehouse is to build an integrated data environment for analysis, providing decision support for the Enterprise (decision supports). The basic architecture of data warehouse mainly consists of the process of data

AWS pushes the data warehouse service Redshift price only for TeradataIBMOracle

[CSDN report] Some time ago, an article was published on Gigaom: whatunbelievablenewservicesdoesAmazonhaveontap? Now we know at least one of them, Amazon's incredible new service, Redshift data warehouse service, points to Oracle, IBM, and Teradata. [CSDN report] Some time ago, an article on Gigaom was published: what unbelievable new services does Amazon have on tap? Now we know at least one of them, Amazo

Software function Comparison of nine large data warehouse development

What are the data warehousing solution software available for selection in the market? What difference does it have? Can you analyze and compare their performance and characteristics? Powerful companies such as IBM, Oracle, Sybase, CA, NCR, Informix, Microsoft, and SAS have launched their own data warehousing solutions (through acquisitions or research and development). Professional software companies such

A review of data warehouse and OLAP Technology

1. Introduction Broadly speaking, a data warehouse is a type of database, which is maintained separately with the operational database of the Organization. The data warehouse system allows various application systems to be integrated to provide a solid platform for unified historical

Data Warehouse and enterprise application integration (i)

Data Main content A. Considering the development of data warehouse from the perspective of system and whole Two. Concept and content of CIF Three CIF Case-sap BW Four Data Warehouse and Enterprise application integration Five Summary References Summary The main content o

ETL of Data Warehouse--Practical Summary theory

Etl,extraction-transformation-loading abbreviations, Chinese names are data extraction, conversion, and loading. Most warehouse-based data architectures can be summarized as: Data source-->ods (operational datastore)-->DW-->DM (data mart) ETL throughout its various links.

Tiered Manager solution for Oracle Data Warehouse Developer Network Oracle_oracle

The Oracle tutorial you are looking at is Oracle Data Warehouse tiered Manager Solution Developer Network Oracle. SummaryThis paper describes the principles, procedures, limitations of the hierarchical manager, and combines with Oracle Data Warehouse to realize the efficient storage and management of geo-

Three major issues to be avoided in deploying a data Warehouse system

Enterprises in the decision to purchase Data Warehouse integration equipment, the products to be implemented after the selection, the project management phase began, the goal is to successfully deliver to meet the specific business and technical requirements of the Data Warehouse system. But there are plenty of challen

Open-source MySQL efficient data warehouse solution: Infobright details, mysqlinfobright

Open-source MySQL efficient data warehouse solution: Infobright details, mysqlinfobright 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

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