'Multidimensional data model' diaporamas de présentation

Multidimensional Databases

Multidimensional Databases. Prof. Navneet Goyal Computer Science & Information Systems Department BITS, Pilani. Database Evolution. Flat files Hierarchical and Network Relational Distributed Relational Multidimensional (MDDB). MDDB History.

1.46k views • 75 slides

O N- L INE A NALYTICAL P ROCESSING

O N- L INE A NALYTICAL P ROCESSING. Objectives. What is OLAP Need for OLAP Features & functions of OLAP Different OLAP models OLAP implementations. Demand for OLAP. To develop DM, three approaches In all approaches, Data Marts rest on Dimensional Model

869 views • 68 slides

O N- L INE A NALYTICAL P ROCESSING

O N- L INE A NALYTICAL P ROCESSING. Objectives. What is OLAP Need for OLAP Features & functions of OLAP Different OLAP models OLAP implementations. Demand for OLAP. To develop DW, three approaches In all approaches, Data Marts rest on Dimensional Model

817 views • 60 slides

Decision Support Technology

Decision Support Technology. DSS Reference Architecture. Language System. Problem Processing System. Knowledge System. Presentation System. Outline. Knowledge system technology data management data warehousing Data marts online analytic processing (OLAP) ROLAP, MOLAP, WOLAP.

499 views • 49 slides

Data Warehousing and Decision Support, part 2

499 views • 34 slides

Chapter

6. Chapter. Foundations of Business Intelligence: Databases and Information Management. Management Information Systems Chapter 6 Foundations of Business Intelligence: Databases and Information Management. The Database Approach to Data Management.

253 views • 25 slides

Data Warehousing and Decision Support

Data Warehousing and Decision Support. Chapter 25, Part A. Introduction. Increasingly, organizations are analyzing current and historical data to identify useful patterns and support business strategies.

517 views • 22 slides

Data Warehousing and Decision Support

Data Warehousing and Decision Support. Chapter 25, Part A. Introduction. Increasingly, organizations are analyzing current and historical data to identify useful patterns and support business strategies.

399 views • 22 slides

Chapter 4 Tutorial

Chapter 4 Tutorial. Modeling Data Warehouse. A data warehouse is based on a multidimensional data model which views data in the form of a data cube A data cube allows data to be modeled and viewed in multiple dimensions Dimension tables

464 views • 18 slides

Decision Support

Decision Support. Chapter 23. Introduction. Increasingly, organizations are analyzing current and historical data to identify useful patterns and support business strategies.

275 views • 17 slides

Data Warehouse and Data Cube

Data Warehouse and Data Cube. Lecture Notes for Chapter 3 Introduction to Data Mining By Tan, Steinbach, Kumar And Data Mining, by Han and Kamber, 2 nd Edition Revised by QY. OLAP. On-Line Analytical Processing (OLAP) was proposed by E. F. Codd, the father of the relational database.

507 views • 14 slides

Multidimensional Modeling

Multidimensional Modeling. MIS 497. What is multidimensional model?. Logical view of the enterprise Shows main entities of the enterprise business and relationships between them Not tied to a physical database and tables Not E-R diagram. Model Components. Dimensions (Hierarchies in MSTR 7)

140 views • 12 slides