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technical training

ORACLE 8i and 9i data warehousing

contents

 

About the course
A Data Warehouse has the potential to revolutionise your business. Increased profitability, customer retention, and market penetration are all possible applications of an effective Data warehouse implementation … but first of all you have to build it.
The approach, method and design techniques required to build a Data Warehouse differ significantly from those required to build a database to support on-line transaction processing.
This practical course introduces the delegate to all the necessary terminology, architectures, approaches, skills, tools, techniques, and infrastructure required to design and implement a successful Data Warehouse solution. This is largely achieved by guiding the delegate through an easy to understand, incremental, and iterative process, and also through a series of practical exercises.


In this course, students study the issues involved in planning, designing, building, populating, and maintaining a successful data warehouse. Students learn the reasons why data warehousing is a compelling decision support solution in today's business climate. They examine the Oracle approach to a successful data warehouse implementation using a proven methodology. During the course, students examine Oracle warehouse technology.
Being based on the Oracle RDBMS, the extensive practical element of this course reflects the urgency for real, usable skills, that developers must have in the real world. The numerous exercises and demonstrations - using technology from the world's leading business intelligence software vendor - make this course far more useful than one which is non-vendor specific.
The product “tasters” in the course, for example a BusinessObjects overview, add to the richness of the experience and illustrate, using market leading products, how end-to-end ETL can be performed. The intention is that not only will you have specific Oracle data warehousing skills at the end of the course, but also a complete overview of the elements of data warehousing and associated activities.


If you are an Oracle version 8 site, you may well be looking over the fence at Oracle 9i and deciding whether to move forwards, based on the new features offered. This course may help you, as the new 9i data warehousing features are discussed.


You will acquire these hands-on skills on the course:-

  • design, implement, utilise, maintain, and administer the Data Warehouse
  • build models using the dimensional (star schema) modelling technique
    extract data
  • transform, condition, and cleanse the data
  • populate the Data Warehouse using a variety of mechanisms
  • query, drill-down, and report the data
  • understand the role of Oracle’s extract tools such as OLAP and data mining
  • understand the importance of metadata and issues surrounding its integration
  • assess your organisation's readiness to embark on a Data Warehousing project

 

Who should attend
Developers, software engineers, database administrators, data analysts, system analysts or application designers who will be involved in designing, building or maintaining a Data Warehouse.

Please note that the training is also suitable for delegates from Oracle version 8 sites as well.

Prerequisites
Delegates require a basic understanding of IT and how business systems use IT; this would be gained by at least a year's experience in IT or business systems development.


It is assumed that delegates attending this course will already have had some exposure to Relational Databases and Database Modelling in an Oracle environment. Systems/Application programming experience would be an advantage. Database modelling skills can be acquired on Concentrika’s SSADM analysis and design courses. You will be familiar with Oracle SQL and SQL*PLUS. The course is technical and hands-on in nature, within an Oracle RDBMS environment.


All the prerequisites for the training can be successfully met by attendance on appropriate courses from Concentrika.


(Please phone us for guidance if you are uncertain about meeting the prerequisites, or if you require further advice before deciding to attend).

Duration

4 days

 

Introduction Historical background;
What is a Data Warehouse and why do we need it?
OLTP versus DSS;
Benefits to the business;
Benefits to IT;
Reasons for failure

The Project

Skills required;
Top down vs. bottom up development;
Ownership & funding;
Methodology;
Scoping and requirements gathering;
Questions to ask in determining requirements

Modelling

Review of modelling terminology and techniques;
How a Warehouse is different;
Logical and physical modelling;
3NF vs. denormalisation
Dimensional Modelling
The dimensional model;
The fact table;
The dimension tables;
Using the dimensional model;
Modelling Attributes in the Dimensions;
Steps in design.
Conformed Dimensions;
Synonym Dimensions;
Mini Dimensions;
Snowflaking;
Changing Dimension Values;
Handling Hierarchies;
Surrogate Keys; Aggregates.
Metadata Management Tools.
Common Warehouse Metadata
Hardware Architectures and Database Architect ures
SMP;
Clusters;
MPP;
The Oracle RDBMS,
Database Parallelism;
TPC benchmarks
Software Architectures

Centralised Data Warehouse;
Independent or Federated Data Marts;
Hybrid approach;
Standards

Data Transformation The Case for data quality;
Transformation; Cleansing;
Conditioning;
Specific data type issues;
Transformation methods.
Oracle 9i warehousing builder.
Oracle 9i on-line table REDEFINITION.
Data Loading Oracle 9i change data capture subsystem.
Bitmap join indexes.
Materialised views and query rewrite.
Oracle streams.
Snapshots. SQL Loader.
Oracle 9i External tables.
Merge. Multi-inserts.
Embedded SQL.
UTL_FILE package.
Database links and transactional replication.
Table partitioning.
Purging and Archiving Data.
Postprocessing of Loaded Data
Querying the Data Canned queries; Oracle Reports.
Oracle Discoverer.
SQL*PLUS - formatting queries to simple reporting structures.
ROLAP and OLAP tools;
Data visualisation – Oracle Designor 2000;
Drilldown analysis.
Performance tips.
BusinessObjects end user reporting tool.
Data Warehousing and the Internet Technology overview;
Web reporting;
Web marts;
The Internet as a data source;
Extranets;
Intelligent agents
Data Mining and Exploration Data mining methodology;
Data mining algorithms;
Interpreting the output;
Formulating a strategy
Operating and Maintaining the System User and privilege administration;
Service level agreements.
Managing the transition to production.
Managing Growth .
Managing backup and recovery.
Identifying Data Warehouse performance issues
Assessment Being ready for a Data Warehouse.
Establishing a plan;
Getting the mandate;
Training;
Feasibility study;

 

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