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Oracle Business Intelligence Enterprise Edition (OBIEE) Training

Drive Team Excellence with Oracle Business Intelligence Enterprise Edition (OBIEE) Corporate Training

Empower your teams with expert-led on-site/in-house or virtual/online Oracle Business Intelligence Enterprise Edition (OBIEE) Training through Edstellar, a premier Oracle Business Intelligence Enterprise Edition (OBIEE) training company for organizations globally. Our customized training program equips your employees with the skills, knowledge, and cutting-edge tools needed for success. Designed to meet your specific training needs, this Oracle Business Intelligence Enterprise Edition (OBIEE) group training program ensures your team is primed to drive your business goals. Transform your workforce into a beacon of productivity and efficiency.

OBIEE is a business intelligence system that allows professionals to gather, store, and visualize enterprise data. OBIEE helps professionals to optimize performance, ensure data accuracy, and enhance security measures. Professionals need training in OBIEE to understand data modeling concepts and leverage its advanced reporting and visualization tools efficiently.

Edstellar's virtual/onsite Oracle Business Intelligence Enterprise Edition (OBIEE) training course offers customization and employs cutting-edge methodologies for better outcomes. Our trainers are renowned for their expertise in the OBIEE instructor-led training course and have vast experience guiding teams through the complexities of OBIEE.

Key Skills Employees Gain from Oracle Business Intelligence Enterprise Edition (OBIEE) Training

Oracle Business Intelligence Enterprise Edition (OBIEE) skills corporate training will enable teams to effectively apply their learnings at work.

  • Data Analysis
  • Report Development
  • Dashboard Design
  • Data Modeling
  • Data Visualization
  • Security Implementation

Key Learning Outcomes of Oracle Business Intelligence Enterprise Edition (OBIEE) Training Workshop

Edstellar’s Oracle Business Intelligence Enterprise Edition (OBIEE) group training will not only help your teams to acquire fundamental skills but also attain invaluable learning outcomes, enhancing their proficiency and enabling application of knowledge in a professional environment. By completing our Oracle Business Intelligence Enterprise Edition (OBIEE) workshop, teams will to master essential Oracle Business Intelligence Enterprise Edition (OBIEE) and also focus on introducing key concepts and principles related to Oracle Business Intelligence Enterprise Edition (OBIEE) at work.


Employees who complete Oracle Business Intelligence Enterprise Edition (OBIEE) training will be able to:

  • Design and develop customized reports and dashboards tailored to specific business requirements
  • Implement effective data modeling strategies to optimize performance and enhance data integrity
  • Utilize advanced data visualization techniques to present findings in a clear and compelling manner
  • Evaluate security measures and implement best practices to safeguard sensitive data within OBIEE environments
  • Apply ad-hoc query capabilities to perform real-time data analysis and answer ad-hoc business questions
  • Collaborate with team members to leverage OBIEE's collaborative features and share knowledge effectively
  • Optimize OBIEE workflows and processes to streamline data analysis and reporting tasks for improved efficiency

Key Benefits of the Oracle Business Intelligence Enterprise Edition (OBIEE) Group Training

Attending our Oracle Business Intelligence Enterprise Edition (OBIEE) classes tailored for corporations offers numerous advantages. Through our Oracle Business Intelligence Enterprise Edition (OBIEE) group training classes, participants will gain confidence and comprehensive insights, enhance their skills, and gain a deeper understanding of Oracle Business Intelligence Enterprise Edition (OBIEE).

  • Equips the team with the techniques to analyze complex datasets and derive actionable insights
  • Empowers professionals with the skills to create customized reports and dashboards tailored to organizational needs
  • Develops required skills in professionals for optimizing data modeling and metadata management processes
  • Provides teams with insights into advanced data visualization techniques for effective communication of findings
  • Instills ideas in professionals for implementing security measures and ensuring data integrity within OBIEE environments

Topics and Outline of Oracle Business Intelligence Enterprise Edition (OBIEE) Training

Our virtual and on-premise Oracle Business Intelligence Enterprise Edition (OBIEE) training curriculum is divided into multiple modules designed by industry experts. This Oracle Business Intelligence Enterprise Edition (OBIEE) training for organizations provides an interactive learning experience focused on the dynamic demands of the field, making it relevant and practical.

  1. Understanding repository components
    • Types of repositories
    • Version control systems
    • Metadata management
  2. Repository architecture overview
    • Layered architecture 
    • Data flow through the repository
    • Integration with surrounding systems
  3. Repository file structure
    • Naming conventions
    • File types
  1. Creating physical tables and columns
    • Data modeling techniques 
    • Data type selection
    • Normalization considerations
  2. Defining physical joins and foreign keys
    • Types of joins 
    • Optimizing join performance
  3. Importing metadata from data sources
    • Reverse engineering techniques
    • Data transformation considerations
    • Error handling during import
  1. Creating logical tables and columns
    • Business-oriented representation of data
    • Aggregations and calculations
    • Dimension tables and hierarchies
  2. Defining logical joins and hierarchies
    • Relationships between logical tables
    • Multi-level hierarchies for dimensions
    • Handling parent-child relationships
  3. Mapping physical to logical columns
    • Ensuring data consistency
    • Defining transformation logic
  1. Creating presentation tables and columns
    • User-friendly views of data
    • Derived metrics and KPIs
  2. Organizing presentation hierarchies
    • Defining how users navigate data
    • Drill-down and roll-up capabilities
    • Presenting data in a consumable way
  3. Defining presentation privileges
    • Controlling user access to data
    • Row-level and column-level security
  1. Implementing testing strategies
    • Unit testing for transformations
    • Integration testing for data flow
    • Data quality checks
  2. Validating repository integrity
    • Identifying and correcting errors
    • Maintaining data lineage
  3. Troubleshooting common issues
    • Performance bottlenecks
    • Data integrity problems
  1. Understanding logical table source properties
    • Data source connection settings
    • Refresh schedules and dependencies
    • Incremental load strategies
  2. Managing complex logical joins
    • Optimizing performance for complex joins
    • Handling multiple join conditions
  3. Optimizing logical table sources
    • Caching strategies for frequently used sources
    • Partitioning for improved query performance
    • Identifying and eliminating redundant data
  1. Implementing aggregate functions
    • Common aggregation functions
    • Grouping data for calculations
    • Using nested aggregations
  2. Creating custom calculations
    • Defining custom formulas and expressions
    • Leveraging scripting languages for complex logic
    • Ensuring calculation validity and accuracy
  3. Utilizing expression builder
    • Simplifying complex calculation definition
    • Validating expression syntax
  1. Creating dimension hierarchies
    • Defining parent-child relationships between levels
    • Managing attribute hierarchies for roll-up capabilities
    • Designing user-friendly navigation through dimensions
  2. Managing level-based measures
    • Assigning measures to specific levels of a hierarchy
    • Aggregating measures at different levels
  3. Handling Slowly Changing Dimensions (SCDs)
    • Strategies for handling updates to dimension tables
    • Implementing SCD types 
    • Maintaining historical data integrity
  1. Configuring usage tracking settings
    • Defining events to track
    • Specifying user and session identification
    • Setting data retention periods
  2. Analyzing usage tracking reports
    • Identifying popular reports and data sources
    • Understanding user access patterns
    • Optimizing repository based on usage data
  3. Optimizing usage tracking performance
    • Minimizing overhead on data access queries
  1. Configuring model checker settings
    • Defining data quality checks 
    • Scheduling automated model validation
    • Setting alert thresholds for data issues
  2. Optimizing aggregate navigation
    • Pre-calculating and storing aggregates
    • Designing efficient aggregate hierarchies
  3. Troubleshooting aggregate issues
    • Identifying incorrect or missing aggregates
    • Diagnosing errors in aggregate calculations
  1. Implementing partitioning strategies
    • Dividing data tables based on specific criteria
    • Managing partition lifecycle
  2. Managing fragmented tables
    • Balancing data distribution
    • Maintaining data consistency across fragments
  1. Defining repository variables
    • Setting default values and data types
    • Utilizing variables for dynamic configurations
  2. Implementing session variables
    • Storing user preferences and filter selections
    • Enhancing user experience with personalized settings
  3. Leveraging variable prompts
    • Capturing user input during data access
    • Dynamically modifying queries
    • Providing flexibility for ad-hoc analysis
  1. Understanding time series modeling concepts
    • Representing data points over time
    • Defining time attributes and granularities 
    • Selecting appropriate data aggregation methods
  2. Implementing time series functions:
    • Functions for date/time manipulation
    • Calculations specific to time series data
    • Leveraging built-in functions
  3. Optimizing time-series performance
    • Utilizing appropriate data compression techniques
    • Implementing efficient indexing strategies for time-based queries
  1. Defining bridge tables
    • Establishing foreign key relationships to reference primary keys
    • Maintaining data integrity across linked tables
  2. Implementing many-to-many relationships
    • Designing efficient data structures
    • Handling data retrieval and manipulation
    • Ensuring data consistency in all linked tables
  3. Optimizing relationship performance
    • Denormalization techniques 
    • Utilizing materialized views
  1. Understanding implicit fact column concepts
    • Simplifying data model design for certain scenarios
    • Potential drawbacks and limitations of implicit facts
  2. Configuring implicit fact columns
    • Specifying the measure to be implicitly applied
    • Ensuring data accuracy and consistency with implicit facts
  3. Optimizing implicit fact column performance
    • Evaluating the impact on query performance
    • Considering alternative data modeling approaches
    • Balancing simplicity with efficiency
  1. Implementing object-level security
    • Controlling access to specific repository objects 
    • Granting permissions to users and groups
    • Defining granular access control rules
  2. Configuring data-level security
    • Restricting data visibility based on user attributes or roles
    • Implementing row-level and column-level security filters
  3. Managing security privileges
    • Assigning and revoking user permissions
    • Auditing user activity and data access
    • Maintaining a secure repository environment
  1. Understanding cache management concepts
    • Storing frequently accessed data for faster retrieval
    • Configuring cache invalidation strategies
  2. Configuring cache settings
    • Defining objects to be cached 
    • Specifying cache expiration times
  3. Optimizing cache performance
    • Monitoring cache hit rates and utilization
    • Identifying and removing outdated cached data
    • Tuning cache settings for specific workloads

Target Audience for Oracle Business Intelligence Enterprise Edition (OBIEE) Training Course

The Oracle Business Intelligence Enterprise Edition (OBIEE) training program can also be taken by professionals at various levels in the organization.

  • Business Intelligence Developers
  • Data Analysts
  • BI Engineers
  • Data Scientists
  • Database Administrators
  • Reporting Analysts
  • ETL Developers
  • Analytics Specialists
  • Data Architects
  • Information Analysts
  • BI Specialists
  • Managers

Prerequisites for Oracle Business Intelligence Enterprise Edition (OBIEE) Training

Professionals with a basic understanding of SQL queries and familiarity with database concepts can take up the Oracle Business Intelligence Enterprise Edition (OBIEE) training course.

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At Edstellar, we understand the importance of impactful and engaging training for employees. To ensure the training is more interactive, we offer Face-to-Face onsite/in-house or virtual/online for companies. This approach has proven to be effective, outcome-oriented, and produces a well-rounded training experience for your teams.

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Our virtual group training sessions bring expert-led, high-quality training to your teams anywhere, ensuring consistency and seamless integration into their schedules.

With global reach, your employees can get trained from various locations
The consistent training quality ensures uniform learning outcomes
Participants can attend training in their own space without the need for traveling
Organizations can scale learning by accommodating large groups of participants
Interactive tools can be used to enhance learning engagement
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Edstellar's onsite group training delivers immersive and insightful learning experiences right in the comfort of your office.

Higher engagement and better learning experience through face-to-face interaction
Workplace environment can be tailored to learning requirements
Team collaboration and knowledge sharing improves training effectiveness
Demonstration of processes for hands-on learning and better understanding
Participants can get their doubts clarified and gain valuable insights through direct interaction
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Edstellar's off-site group training programs offer a unique opportunity for teams to immerse themselves in focused and dynamic learning environments away from their usual workplace distractions.

Distraction-free environment improves learning engagement
Team bonding can be improved through activities
Dedicated schedule for training away from office set up can improve learning effectiveness
Boosts employee morale and reflects organization's commitment to employee development

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        Get Your Team Members Recognized with Edstellar’s Course Certificate

        Upon successful completion of the Oracle Business Intelligence Enterprise Edition (OBIEE) training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.

        This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.

        Course Completion Certificate

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        The instructor-led training is conducted by certified trainers with extensive expertise in the field. Participants will benefit from the instructor's vast knowledge, gaining valuable insights and practical skills essential for success in Access practices.

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