Oracle BI 12c Build Repository

1. Metadata Management: Allows users to define and organize metadata objects to represent the structure and relationships of data sources in the BI environment.

2. Data Modeling: Provides tools for data modeling tasks such as defining logical and physical data models, creating joins, defining calculated columns, and setting up aggregation rules.

3. Hierarchical Modeling: Supports the creation of hierarchical structures such as parent-child relationships and levels for dimensional analysis and reporting.

4. Security Configuration: Enables administrators to define security settings and permissions for metadata objects, ensuring that only authorized users have access to sensitive data.

5. Versioning and Change Management: Provides version control and change management features to track changes to the metadata repository over time and manage different versions of metadata objects.

Before learning Oracle BI 12c Build Repository, it's beneficial to have the following skills:

1. Database Knowledge: Understanding of database concepts, SQL queries, and data modeling principles.

2. BI Fundamentals: Familiarity with business intelligence concepts, reporting tools, and data visualization techniques.

3. ETL Tools: Basic knowledge of Extract, Transform, Load (ETL) tools and data integration processes.

4. Metadata Management: Understanding of metadata concepts and how metadata is used to describe data structures and relationships.

5. Data Warehousing: Familiarity with data warehousing concepts, dimensional modeling, and star schema design.

By learning Oracle BI 12c Build Repository, you gain the following skills:

1. Metadata Modeling: Ability to design and create metadata models to represent data structures and relationships in a business intelligence environment.

2. Data Integration: Skills to integrate and manage data from various sources within the metadata repository for reporting and analysis purposes.

3. Dimensional Modeling: Proficiency in designing dimensional models such as star schemas and snowflake schemas for efficient reporting and analysis.

4. Security Management: Capability to configure security settings and permissions for metadata objects to control access and ensure data privacy.

5. Version Control: Knowledge of version control mechanisms to manage changes and revisions to metadata models over time.