Prof. HeleMai Haav: CSC 230 Spring *03 Overview: Databases.

Slides:



Advertisements
Similar presentations
Supervisor : Prof . Abbdolahzadeh
Advertisements

Business Intelligence Simon Pease. Experience with BI Developing end-to-end BI prototype for Plan International Developing end-to-end BI prototype for.
Overview of the technology that comprises Attendance Enterprise.
Jennifer Widom On-Line Analytical Processing (OLAP) Introduction.
--What is a Database--1 What is a database What is a Database.
CS2032 DATA WAREHOUSING AND DATA MINING
Introduction to Building a BI Solution 권오주 OLAPForum
Business Intelligence components Introduction. Microsoft® SQL Server™ 2005 is a complete business intelligence (BI) platform that provides the features,
Designing a Data Warehouse
Data Conversion to a Data warehouse Presented By Sanjay Gunasekaran.
Understanding Analysis Services Architecture. Microsoft Data Warehousing Overview OLTP Source DTS DW Storage Analysis Services Clients OLE DB for OLAP,
XML, distributed databases, and OLAP/warehousing The semantic web and a lot more.
Designing a Data Warehouse Issues in DW design. Three Fundamental Processes Data Acquisition Data Storage Data a Access.
IT – DBMS Concepts Relational Database Theory.
SPONSORS. Microsoft PowerPivot for SQL Server, Excel 2010, and SharePoint 2010 Michael Herman Syntergy, Inc.
DATA WAREHOUSING IN SQL SERVER 2005/2008 BUSINESS INTELLIGENCE.
1.
BI Technical Infrastructure Approach
The Worlds of Database Systems Chapter 1. Database Management Systems (DBMS) DBMS: Powerful tool for creating and managing large amounts of data efficiently.
IMS 6217: Data Warehousing / Business Intelligence Part 3 1 Dr. Lawrence West, Management Dept., University of Central Florida Analysis.
DW-1: Introduction to Data Warehousing. Overview What is Database What Is Data Warehousing Data Marts and Data Warehouses The Data Warehousing Process.
Part 1. Persistent Data Web applications remember your setting by means of a database linked to the site.
CS480 Computer Science Seminar Introduction to Microsoft Solutions Framework (MSF)
HDNUG 27-March-2007 SQL Server 2005 Suite as a Business Intelligence Solution.
DataMigrator Data Analysis with WebFOCUS. 2 Metadata Data Lineage Data Profiling Data Transformation Administration Connectivity Portability DataMigrator.
HND Agri DBMS Introduction MH Mohamed Nafas 1. Why DBMS? 2  Suppose we need to develop a Information system.  How do we  store the data? (use file.
 To develop the knowledge and skills to manage and tune database management systems  To provide experience the technologies of a variety of database.
ADVANCED TOPICS IN RELATIONAL DATABASES Spring 2011 Instructor: Hassan Khosravi.
S T A T I S T I C S A U S T R I A March SuperSTAR A joint development with STR D.Burget October 2007 © STATISTICS AUSTRIA I n f.
Introduction HNDIT DBMS 1. Database Management Systems Module code HNDIT Module title Database Management Systems Credits2HoursLectures15.
Business Intelligence Transparencies 1. ©Pearson Education 2009 Objectives What business intelligence (BI) represents. The technologies associated with.
Business Intelligence Training Siemens Engineering Pakistan Zeeshan Shah December 07, 2009.
IAnywhere Solutions Mobile Computing on Linux Eyun Lindberg
ViaSQL Technical Overview. Viaserv, Inc. 2 ViaSQL Support for S/390 n Originally a VSE product n OS/390 version released in 1999 n Identical features.
Database Management Systems.  Instructor: Yrd. Doç. Dr. Cengiz Örencik   Course material.
Oracle OLAP Option Bud Endress Director of Product Management, OLAP.
Summary Cognos 8 BI. Objectives  In this module we will examine:  major innovations in Cognos 8  review of new functionality in Cognos 8  customer.
SoCal GPUG Meeting – February Agenda Installation and Configuration Standard Features Standard vs. eConnect Adapters Alternatives Resources Integration.
® IBM Software Group © 2004 IBM Corporation IBM Information Management 소개.
An Overview of Data Warehousing and OLAP Technology
Microsoft SQL Server Database & Business Intelligence Training Training/Placement/Certification Classroom/Online/Corporate Fast track/Regular/Weekend Contact.
Supervisor : Prof . Abbdolahzadeh
The Holmes Platform and Applications
SQL Server Analysis Services Fundamentals
Datab ase Systems Week 1 by Zohaib Jan.
Database System Concepts and Architecture
Unit 1: INTRODUCTION Database system, Characteristics Database Users
Data warehouse.
Data Warehousing CIS 4301 Lecture Notes 4/20/2006.
Data warehouse and OLAP
Three tier Architecture of Data Warehousing
Data Warehouse.
قاعدة البيانات Database
Computerized and Manual Systems
On-Line Analytical Processing (OLAP)
Database Management System (DBMS)
SQL Server Analysis Services Fundamentals
SQL Server Analysis Services Fundamentals
قاعدة البيانات Database
Components of the Data Warehouse Michael A. Fudge, Jr.
Introduction to Databases
Data Warehousing: Data Models and OLAP operations
DAT381 Team Development with SQL Server 2005
Introduction of Week 11 Return assignment 9-1 Collect assignment 10-1
Database (DB) and Database Management System (DBMS)
Building your First Cube with SSAS
Advanced Database System
The 2nd Generation Live Database: A “World Class Solution”
Analysis Services Analysis Services vs. the Data Warehouse vs. OLTP DB
COSC 3480 Projects & Homeworks Fall 2003
Presentation transcript:

Prof. HeleMai Haav: CSC 230 Spring *03 Overview: Databases

A database system (DBMS) is a program product for keeping computerized records about an enterprise sales database university database web examples ?

Database system provides efficient, convenient, and safe multi-user storage of and access to massive amounts of persistent data Banking system data-? Massive -many gigabytes, on disk persistent -data outlives programs that operate it multi-user -Jane and ATM1; John and ATM2; the same account number safe -from system failures and malicious users convenient -simple commands efficient - do not search all files to find info

Major Database Systems Oracle-Oracle server, runs Unix, Win NT: www.oracle.com DB2 Universal Database-IBM, Unix www.ibm.com/db2 Informix Dynamic Server 2000, Unix www.informix.com Microsoft SQL Server, Access Sybase

A Relational database

Object Relational database

Database System Architecture

SQL Agent Module Connection session SQL-server SQL client The SQL Client-server interaction

Database Users End users application programmers- write apps casual- SQL queries naïve- menus application programmers- write apps database administrators-supervise the DBMS

Data Warehouses

Roughly 90% of decisions are made without the benefit of the information you already have. The most intelligent solution is an open, integrated data warehouse and business intelligence infrastructure based on proven technology and industry "best practices" to turn that data into a strategic resource while reducing risk.

Data warehousing is bringing data from operational databases to a single warehouse to do analysis (OLAP) and mining www.walmart.com

What is in data warehouse? “fact data” sales transactions, course enrollments update frequently, very large “dimension data” store items, students, courses update infrequently, not as large

Two models for data warehouse dim Relational OLAP star schema Multidimensional OLAP data cube, facts in cells dimensions form axes facts time Total sales region facts sales channel

Oracle 11i www.oracle.com education.oracle.com Sybase Industry Warehouse Studio Adaptive Server IQ www.sybase.com

Oracle 9i Oracle9i Database Oracle9i Database Release 2 is the first major follow-on release to the award-winning Oracle9i Database. In addition to numerous quality and performance enhancements, Oracle9iDB Release 2 features full XML database functionality with the new XML DB feature, enhancements to the groundbreaking Oracle9i Real Application Clusters and additional self-tuning and self-management capabilities to help improve productivity and efficiency. In addition, the built-in OLAP functionality has been expanded and significant enhancements and tunings have been made for Windows and Linux systems.

Sybase http://www.sybase.com/

MS Access http://www.microsoft.com/office/using/column06.asp http://www.microsoft.com/office/access/evaluation/tour/page3.asp

Rolling Thunder Bicycles (an example)