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Data Integration and ETL with Oracle Warehouse Builder Ed 2 Course Overview

Data Integration and ETL with Oracle Warehouse Builder Ed 2 Course Overview

The "Data Integration and ETL with Oracle Warehouse Builder Ed 2" course is designed to provide learners with a comprehensive understanding and hands-on experience in the areas of data integration and ETL (Extract, Transform, Load) using Oracle Warehouse Builder (OWB). It covers the installation, architecture, and effective use of the OWB tool for developing and deploying ETL solutions.

Starting with the installation and setup of the OWB environment, the course progresses through Defining source metadata, creating ETL mappings for staging data, and utilizing Data transformation operators. It delves into Cleansing and match-merging name and address data, orchestrating ETL processes using Process flows, and deploying and reporting on ETL jobs.

Advanced topics include Performance enhancement techniques, Managing backups, Development changes, and Security, as well as Integration with Oracle Business Intelligence Enterprise Edition. The course also explores Administrative tasks, Metadata management, and Accessing non-Oracle sources.

By the end, participants will be equipped with the knowledge to design efficient data warehouses, work with Relational and multidimensional models, and implement Right-time data warehousing strategies, providing them with a competitive edge in the field of data warehousing and business intelligence.

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Course Prerequisites

To successfully undertake the "Data Integration and ETL with Oracle Warehouse Builder Ed 2" course, it is recommended that participants have the following minimum prerequisites:


  • Basic understanding of data warehousing concepts and architectures
  • Familiarity with relational database concepts, including tables, indexes, and relationships
  • Experience with SQL and PL/SQL fundamentals
  • Exposure to basic database administration tasks or concepts
  • Knowledge of Oracle Database 11g or other relational database management systems

These prerequisites ensure that students have a foundational understanding necessary to grasp the concepts and techniques taught in the course. Remember, the goal is to equip you with the skills to effectively use Oracle Warehouse Builder for data integration and ETL processes, and having these prerequisites will facilitate a smoother learning experience. If you find that you do not meet these prerequisites, we offer introductory courses that can help you prepare for this more advanced training.


Target Audience for Data Integration and ETL with Oracle Warehouse Builder Ed 2

  1. This Oracle Warehouse Builder course empowers professionals in ETL and data integration to enhance their data warehousing skills.


  2. Target audience for the Data Integration and ETL with Oracle Warehouse Builder Ed 2 course:


  • Data Warehouse Architects
  • Business Intelligence Developers
  • ETL Developers
  • Database Administrators
  • Data Analysts
  • Data Scientists interested in ETL processes
  • IT Managers overseeing data management teams
  • Technical Consultants specializing in data integration
  • Oracle Database Professionals looking to expand their skillset
  • Data Modelers working with Oracle Warehouse Builder
  • Solution Architects designing data warehousing solutions
  • Data Engineers seeking to improve data transformation techniques
  • Professionals preparing for Oracle certification in data warehousing


Learning Objectives - What you will Learn in this Data Integration and ETL with Oracle Warehouse Builder Ed 2?

Introduction to Course Learning Outcomes

This course provides comprehensive training on Oracle Warehouse Builder, empowering students with the skills to design and implement ETL processes, data integration, and warehouse solutions.

Learning Objectives and Outcomes

  • Install and configure the Oracle Warehouse Builder environment for optimal data integration.
  • Understand the core architecture of Warehouse Builder to leverage its full capabilities in ETL processes.
  • Define and manage source metadata to streamline data extraction and ensure consistency.
  • Design and implement ETL mappings for effective staging and transformation of data.
  • Utilize data transformation operators to enhance data quality and support complex transformation logic.
  • Perform data cleansing and match-merging to maintain accurate and deduplicated name and address data.
  • Create and execute process flows to automate and monitor ETL tasks within data warehousing solutions.
  • Deploy, execute, and report on ETL jobs, gaining insights into data integration activities and outcomes.
  • Debug mappings using Warehouse Builder's tools to ensure reliable data loads and transformations.
  • Enhance ETL performance through advanced techniques, optimizing data loading and transformation processes.
  • Manage backups, development changes, and implement security measures to protect data integrity and access.
  • Integrate Warehouse Builder with Oracle Business Intelligence Enterprise Edition for enhanced data analytics.
  • Conduct administrative tasks, manage metadata, and access non-Oracle data sources effectively within Warehouse Builder.
  • Learn the additional capabilities provided by the Oracle Data Integration Enterprise Edition License.
  • Understand and apply the principles of right-time data warehousing for timely data availability.
  • Design relational and multidimensional models to support complex analytical requirements.

These objectives are crafted to ensure that by the end of the course, students are equipped with the knowledge and practical skills needed for successful data warehousing projects using Oracle Warehouse Builder.

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