Introduction to Oracle Data Mart Builder. Product Overview z Major components of Oracle Data Mart Suite yDesigner:Data Modeling yBuilder: Data Populating.

Slides:



Advertisements
Similar presentations
Supervisor : Prof . Abbdolahzadeh
Advertisements

Introduction to OWB(Oracle Warehouse Builder)
KM Ticket Automation Process Flow Diagram. Local Components FC (Flow Computer) –Local proprietary computer that reads the meter. FDS (Field Data Server)
1 Use or disclosure of data contained on this sheet is subject to the restriction on the title page of this proposal or quotation. An Introduction to Data.
Business Information Warehouse Business Information Warehouse.
James Serra – Data Warehouse/BI/MDM Architect
Quick-and-dirty.  Commands end in a semi-colon ◦ If you forget, another prompt line shows up  Either continue the command or…  End it with a semi-colon.
IMPORT WIZARD Roudabeh Moraghebi CS491 Fall 2005.
1 ACCTG 6910 Building Enterprise & Business Intelligence Systems (e.bis) Data Staging Olivia R. Liu Sheng, Ph.D. Emma Eccles Jones Presidential Chair of.
Informatiesystemen in de Bouw 7M711 Joran Jessurun en Jos van Leeuwen Week 3.
WELL-DESIGNED DATABASES Process faster Easy to develop and maintain Easy to read and write code.
1 ACCTG 6910 Building Enterprise & Business Intelligence Systems (e.bis) The Data Warehouse Lifecycle Olivia R. Liu Sheng, Ph.D. Emma Eccles Jones Presidential.
IMPORT WIZARD 491a Summer 2005 Roudabeh Moraghebi.
An Overview of Data Warehousing and OLTP Technology Presenter: Parminder Jeet Kaur Discussion Lead: Kailang.
Database Management COP4540, SCS, FIU An Introduction to database system.
ETL Design and Development Michael A. Fudge, Jr.
Eyad Alshareef 1 Creating Database Reports. 2Eyad Alshareef Creating reports.
Sagent Design Studio 컴퓨터학과 데이터베이스연구실 석사 1 학기 홍 은 주 2000 년 3 월 27 일 월요일.
Intro to MIS – MGS351 Databases and Data Warehouses Chapter 3.
Data Structure & File Systems Hun Myoung Park, Ph.D., Public Management and Policy Analysis Program Graduate School of International Relations International.
ASP.NET Programming with C# and SQL Server First Edition
IMS 6217: Data Warehousing / Business Intelligence Part 3 1 Dr. Lawrence West, Management Dept., University of Central Florida Analysis.
Web-Enabled Decision Support Systems
Activity Running Time DurationIntro0 2 min Setup scenario 2 2 min SQL BI components & concepts 4 5 min Data input (Let’s go shopping) 9 7 min Whiteboard.
DW-1: Introduction to Data Warehousing. Overview What is Database What Is Data Warehousing Data Marts and Data Warehouses The Data Warehousing Process.
Organizing Data and Information AD660 – Databases, Security, and Web Technologies Marcus Goncalves Spring 2013.
Session 4: The HANA Curriculum and Demos Dr. Bjarne Berg Associate professor Computer Science Lenoir-Rhyne University.
Microsoft Business Intelligence Environment Overview.
Data Warehouse and the Star Schema CSCI 242 ©Copyright 2015, David C. Roberts, all rights reserved.
1 Data Warehouses BUAD/American University Data Warehouses.
Data Management Console Synonym Editor
Data Warehouse Design Xintao Wu University of North Carolina at Charlotte Nov 10, 2008.
Oracle Data Integrator Transformations: Adding More Complexity
4 Copyright © 2009, Oracle. All rights reserved. Defining Source Metadata.
Data Warehousing.
COSC 3480 Projects, Christoph F. Eick 1 Lab COSC 3480 Fall 2000.
Database Design And Implementation. Done so far… Started a design of your own data model In Software Engineering, recognised the processes that occur.
Foundations of Business Intelligence: Databases and Information Management.
Metasolv-OCDM Connector Metasolv OCDM. What is the MSS Adapter for Oracle Communications Data Model? The Oracle Communications Metasolv and Solution Adapter.
MIS 451 Building Business Intelligence Systems Data Staging.
1 Copyright © Oracle Corporation, All rights reserved. Business Intelligence and Data Warehousing.
SQL Server Analysis Services Understanding Unified Dimension Model (UDM)
Physical Layer of a Repository. March 6, 2009 Agenda – What is a Repository? –What is meant by Physical Layer? –Data Source, Connection Pool, Tables and.
An Overview of Data Warehousing and OLAP Technology
CMPE 226 Database Systems April 12 Class Meeting Department of Computer Engineering San Jose State University Spring 2016 Instructor: Ron Mak
1 Copyright © 2008, Oracle. All rights reserved. Repository Basics.
Oracle Apps Technical Online Training Introduction to ERP  Definition of ERP, Overview of popular ERP’S Comparison of Oracle Apps with other ERP’S Types.
Data Integration - The ETL Process Module 4: BIC#4 – Data Integration Capability Populating Data Warehouse (Data Mart) 1.
Supervisor : Prof . Abbdolahzadeh
Intro to MIS – MGS351 Databases and Data Warehouses
Fundamentals of Information Systems, Sixth Edition
TECHLEADS IT Oracle Apps Technical R12
Localizing Datasources with Alchemy Catalyst
Requirement Overview Tivoli #1 David Hansen Todd Poynter
Building Data ware House
Using Partitions and Fragments
Fundamentals of Information Systems, Sixth Edition
Fundamentals & Ethics of Information Systems IS 201
FIGURE 7.1. Simplified representation showing the most common types of databases for GI and maps and the important difference between flat-file and relational.
IBM DATASTAGE online Training at GoLogica
Data Warehouse.
Database Management  .
Databases and Data Warehouses Chapter 3
An Introduction to Data Warehousing
Creating Database Reports
Adding Multiple Logical Table Sources
Advanced Database System
Analysis Services Analysis Services vs. the Data Warehouse vs. OLTP DB
Best Practices in Higher Education Student Data Warehousing Forum
Presentation transcript:

Introduction to Oracle Data Mart Builder

Product Overview z Major components of Oracle Data Mart Suite yDesigner:Data Modeling yBuilder: Data Populating yDiscoverer: Data Analysis

Data Mart Lifecycle Data Modeling (Designer) Data Populating (Builder) Data Analysis (Discoverer)

Designer: Data Modeling E-R diagram (OLTP) Empty Tables (Data Mart) Star Schema (Data Mart)

Builder: Data Populating zManage the flow of data from sources to the target data mart tables. yExtraction: define and select tables and columns you want from the source (SQL Query) yTransformation: calculation, aggregation, rename etc. yTransportation: load data into data mart

Builder: Data Populating zTypes of sources supported by Builder yFlat file: xfixed length: flat file with fixed length for each field xcharacter separated: flat file with fields separated by characters yRelational database: Oracle, Sybase, Informix, SQL Server etc.

Populating steps zPopulate dimension tables zPopulate time dimension tables zPopulate stage table zPopulate fact table

BaseView and MetaView zA BaseView is a graphical representation of all or a portion of a physical database, including the tables, columns, and joins. zA MetaView is the view you use to start building your data flow plans. Database BaseViewMetaView

BaseView and MetaView Target Data Target BaseView Source MetaView Data Flow Plan Source Data Source BaseView

Documentation zStart -> Programs -> Oracle for Windows NT -> Oracle Data Mart Documentation Data Mart Suite Cookbook