 |
 |
 |
 |
 |
 |
 |
|
|
 |
|
State-of-the-art training facilities
Class Room \ E-Learning training
Faculty with 10 years of average Apps exp.
Project and Hands-on Training
24\7 Support and 90 Days free Access
Prepare for ORACLE Certification
Apps training - All Functional and Technical
Latest Versions of Oracle Applications
Placement guaranteed for deserved students
|
 |
|
|
| | |
|
|
|
|
 |
| Oracle Data Warehouse 10g |
| |
| Software Version |
Oracle 10g |
| Course Duration |
3 days or 24 Hours Approx |
| Course Type |
Class Room and On-Line (E-Learning) Instructor-Led Hands-On Training |
|
| Course Overview |
This course provides complete overview of designing, building and maintaining data warehouse. This course also covers warehouse technologies, data warehouse and business intelligence concepts, features of 10g database, implementation templates, Analytical workspace manager and Oracle Warehouse Builder. |
| Intended Audience for this course |
This course is designed for those who have technical background, knowledge with any computer language, Java, J2EE, XML, .NET Developers, Business Intelligence Developer, Data warehouse Administrator, Data Modelers, End Users, ERP Developers, DBAs, Functional Consultants, IT management and Staff, Business Analysts, Data Warehouse Analyst, Technical Consultants, Students and also those who want to become Oracle Applications Consultants. |
|
| Course Topics |
| Data warehousing Overview |
|
- Understanding Data Warehouse Builder
- Data Objects
- Data Definitions
- Designing ETL objects
- Designing Mappings
- Transformations
- Designing Process Flows
- Deploying Target Systems
- Role of Business Intelligence
- Components
- OLTP and OLAP Overview
|
| Concepts |
- Data Warehouse definitions
- Data Marts
- Development Approach
- Common Terminology of Data Warehouse
|
| Modeling |
- Modeling Overview
- Data Structures
- Logical and Dimensional Modeling
- Physical Modeling Overview
- Partitioning Methods
- Sizing Techniques
- Security
|
| ETL Process |
- Introduction to ETL
- Tasks
- Data Sources
- Issues and Design Options
- ETL tools and Processes
- Transforming Data
- Loading Data
|
| Warehouse Data |
- Methods for capturing data
- Capture and Refresh Mechanisms
- Purging and Archiving Data
- Tasks and Publishing Data
- Controlling Access
- Automating Processes
|
| OLAP and Data Mining |
- Introduction to OLAP
- Data Mining Definitions
- Analytical Processing
- OALP and RDBMS integration
|
| Data Warehouse Implementation |
- Implementation requirements
- Project Management Plan
- Repository, Technical Architecture
- Post Implementation and change management
|
 |
|
|
|
Oracle Training | Oracle Functional Technical Courses |LA OC Nationwide
|
|
