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Bussiness Intelligence and Data Warehouse 

Bussiness Intelligence and Data Warehouse

 

 
 
Tags:  oracle  data warehousing  datacleansing 
Views:  41
Published:  February 05, 2012
 
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Slide 1: Bussiness Intelligence and Data Warehouse Tomas Bartos CIS 764, Kansas State University
Slide 2: Schedule ● Bussiness Intelligence (BI) – – BI tools Oracle vs. Microsoft History Tools Oracle vs. Others ● Data warehouse – – – ● Discussion Tomas Bartos CIS 764, Kansas State University
Slide 3: Business Intelligence (BI) ● ● Products (technologies and applications) used for collecting, analyzing and interpreting data Main goals – – – analyze and report data qualified decisions improve bussiness processes ● Real-time reports Tomas Bartos CIS 764, Kansas State University
Slide 4: BI Prerequisites ● ● ● Secure computer system Sufficient data capacity Plan for data retention Tomas Bartos CIS 764, Kansas State University
Slide 5: BI tools ● ● ● ● ● ● ● Data mining Dashboards OLAP (Online Analytical Processing) Reporting software BPM (Bussiness Performance Management) DSS (Decision Support System) Data Warehousing Tomas Bartos CIS 764, Kansas State University
Slide 6: Oracle products ● ● ● Oracle BI Standard Edition (SE) Oracle BI Standard Edition One Oracle BI Suite Enterprise Edition (EE) Plus Tomas Bartos CIS 764, Kansas State University
Slide 7: Oracle BI tools ● Business Intelligence Server – bussiness model and layer of abstraction accessing content of applications quering and analyzing tool reporting tool Tomas Bartos CIS 764, Kansas State University ● Business Intelligence Interactive Dashboards – ● Bussiness Intelligence Answers – ● Bussiness Intelligence Publisher –
Slide 8: Oracle Dashboards Tomas Bartos CIS 764, Kansas State University
Slide 9: Microsoft tools ● SQL Server 2005 Integration Services – extracting and loading tools reporting tools data mining tools management tools Tomas Bartos CIS 764, Kansas State University ● SQL Server 2005 Reporting Services – ● SQL Server 2005 Analysis Services – ● SQL Server 2005 Management Studio –
Slide 10: Microsoft Tomas Bartos CIS 764, Kansas State University
Slide 11: Data Warehouse ● ● ● Main storage of company`s data Material for DSS (Decision Support System) Formally defined by Bill Immon as: – – – – Subject-oriented Time-variant Non-volatile Integrated Tomas Bartos CIS 764, Kansas State University
Slide 12: Data Warehouse Progress ● ● ● ● Off line Operational Databases Off line Data Warehouse Real Time Data Warehouse Integrated Data Warehouse Tomas Bartos CIS 764, Kansas State University
Slide 13: Data Warehouse tools ● Database – Oracle, SQL Server, DB2… MOLAP (Multidimensional OLAP) ROLAP (Relational OLAP) HOLAP (Hybrid OLAP) ● OLAP – – – ● ● ETL (Extract, Transform and Load) Reporting (presentation layer) Tomas Bartos CIS 764, Kansas State University
Slide 14: Data Warehouse vs. Data mart ● Data Warehouse – – collects all information from entire enterprise large smaller focused on specific task may be part of bigger data warehouse ● Data mart – – – Tomas Bartos CIS 764, Kansas State University
Slide 15: Summary of Data Warehouse ● ● ● Access to large amount of data Place for combination of data from different locations Create reports without slowing down operational systems ● ● ● ● Extracting cost time Active managing is required Problems with compatibility Security problems (web access) Tomas Bartos CIS 764, Kansas State University
Slide 16: Oracle Data Warehousing tools ● Oracle Warehouse Builder – – – management, transformation, optimization design ETL processes more data sources supported optional to Oracle DB 11g Oracle Data Mining JDeveloper and SQL Developer Extensions Tomas Bartos CIS 764, Kansas State University ● Oracle Data Mining (ODM) – – ● Oracle OLAP
Slide 17: Other products ● Microsoft – SQL Server 2005 Business Intelligence Development Studio DB2 Data Warehouse Edition SAP NetWeaver BI ● IBM – ● SAP – Tomas Bartos CIS 764, Kansas State University
Slide 18: Web pages (references) ● Oracle Business Intelligence Blog http://oraclebi.blogspot.com ● Practical Guide to Data Warehousing in Oracle http://www.databasejournal.com/article.php/3304801 ● Bussiness Intelligence diagram http://www.avanco.com/_assets/img/gfx-bi_diagram.gif ● Oracle Business Intelligence EE Plus http://www.oracle.com/technology/products/bi/enterpriseedition.html Tomas Bartos CIS 764, Kansas State University
Slide 19: Web pages (references) ● Data Warehousing http://www.1keydata.com/datawarehousing/datawareho use.html Tomas Bartos CIS 764, Kansas State University
Slide 20: Summary ● Bussiness Intelligence – – – could improve bussiness processes summaries, reports, predictions many available commercial products information gathered from different data source (large size) performing complex queries no effect on performance of operational systems Tomas Bartos CIS 764, Kansas State University ● Data warehousing – – –
Slide 21: Discussion Tomas Bartos CIS 764, Kansas State University

   
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