Oracle BI 12c: Build Repositories Ed 1 Certification And Training

This skillEnhanced course imparts in you the capacity to expand the underlying archive and model more intricate business necessities, including: coherent aspect chains of command, numerous sensible table sources, total tables, segments, and time series information. By this skillEnhanced course, you’ll leave with the capacity to broaden the underlying store and model more perplexing business necessities, including: consistent aspect pecking orders, numerous intelligent table sources, total tables, segments, and time series information. Foster the experience to utilize Administration Tool wizards and utilities to make due, keep up with, and upgrade archives. At last, you’ll be presented to further developed subjects, as implied reality sections, span tables, use following, fix combine, and oversee administration examples.

The course is designed to benefit:

• Application Developers
• Business Analysts
• Technical Consultant
• Data Modelers
• Reports Developer
• Business Intelligence Developer
• Data Warehouse Developer and Administrator
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Audience:

• Administrator
• Analyst
• Architect
• Developer
• Implementer

Course Prerequisites :

Basic knowledge of RDBMS and Data Warehouse.

Upon Completion of this Course, you will accomplish following:-

• Model partitions and fragments
• Streamline administrative tasks
• Modify metadata content dynamically
• Use time series functions
• Set up security to authenticate
• Apply cache management techniques
• Set up query logging
• Set up a multiuser development environment
• Use the Administration Tool wizards
• Utilities to manage, maintain, and enhance repositories
• Enable usage tracking to track queries
• Database usage, and improve query performance
• Patch merge in a development-to-production scenario
• Use Business Application Archive 
• Build the Physical, Business Model
• Mapping, and Presentation layers of a repository
• Build and run analyses to test validate a repository
• Build and calculated measures for a fact table
• Create logical dimension hierarchies and level-based measures
• Model aggregate tables to speed query processing.