Oracle Analytics Server Training
Oracle Analytics Server (OAS) is a comprehensive analytics solution that provides a full range of data management and business intelligence (BI) capabilities. It allows users to perform reporting, data visualization, dashboards, and advanced analytics using both structured and unstructured data. OAS is designed for businesses looking to make data-driven decisions and implement advanced analytics into their operations.
Why should you choose Nisa For Oracle Analytics Server Training?
Nisa Trainings is the best online training platform for conducting one-on-one interactive live sessions with a 1:1 student-teacher ratio. You can gain hands-on experience by working on near-real-time projects under the guidance of our experienced faculty. We support you even after the completion of the course and happy to clarify your doubts anytime. Our teaching style at Nisa Trainings is entirely hands-on. You’ll have access to our desktop screen and will be actively conducting hands-on labs on your desktop.
Job Assistance
If you face any problem while working on Oracle Analytics Server Course, then Nisa Trainings is simply a Call/Text/Email away to assist you. We offer Online Job Support for professionals to assist them and to solve their problems in real-time.
The Process we follow for our Online Job Support Service:
- We receive your inquiry for Online Job
- We will arrange a telephone call with our consultant to grasp your complete requirement and the tools you’re
- If our consultant is 100% confident in taking up your requirement and when you are also comfortable with our consultant, we will only agree to provide service. And then you have to make the payment to get the service from
- We will fix the timing for Online Job Support as mutually agreed by you and our consultant.
Course Information
Oracle Analytics Server Training
Duration: 25 Hours
Timings: Weekdays (1-2 Hours per day) [OR] Weekends (2-3 Hours per day)
Training Method: Instructor Led Online One-on-One Live Interactive
Sessions.
COURSE CONTENT :
Module 1: Introduction to Oracle Analytics Server (OAS)
- Overview of Oracle Analytics Server
- Differences between Oracle Analytics Cloud (OAC) and Oracle Analytics Server (OAS)
- Components and architecture of OAS
- Understanding the role of Oracle Analytics in business intelligence
- Installing and configuring Oracle Analytics Server
Module 2: User Interface and Navigation
- Exploring the OAS home page and workspace
- Key features of the OAS interface: Dashboards, Reports, and Data Sets
- Navigating the various tools (data visualization, data modeling, and analytics)
- Managing and personalizing the workspace
Module 3: Data Connections and Integration
- Connecting to data sources (Oracle databases, cloud services, flat files, etc.)
- Using Data Connections in OAS
- Understanding the Data Model: Physical Layer and Logical Layer
- Data Integration and Transformation:
- Data blending and merging from multiple sources
- Data extraction and transformation methods
- Importing and refreshing data
Module 4: Data Modeling
- Understanding the concepts of Data Models in OAS
- Physical Models
- Business Models
- Creating and managing data models
- Defining tables, columns, and relationships
- Working with dimensions and hierarchies
- Creating calculated columns and measures
- Advanced Data Modeling techniques (e.g., star schema, snowflake schema)
Module 5: Data Visualization and Dashboards
- Introduction to Data Visualization in OAS
- Creating interactive visualizations: charts, graphs, maps, etc.
- Exploring the different types of visualizations (bar charts, pie charts, line graphs, scatter plots)
- Customizing visualizations (color schemes, filters, tooltips)
- Building and publishing dashboards
- Creating interactive filters for dashboards
- Best practices for dashboard design
Module 6: Reporting and Analysis
- Generating reports and ad hoc queries
- Working with report layouts and templates
- Adding interactive features to reports (filters, drill-downs)
- Creating narrative reports and analytic views
- Exporting reports to different formats (PDF, Excel, CSV)
- Managing report subscriptions and scheduling
Module 7: Advanced Analytics
- Introduction to advanced analytics features in OAS
- Working with machine learning algorithms (e.g., classification, regression, clustering)
- Creating predictive models and integrating them into reports
- Forecasting with time-series data
- Using advanced analytics functions in Data Visualizations (e.g., anomaly detection, forecasting)
- Creating and integrating custom R/Python scripts
Module 8: Security and User Management
- Configuring security settings in Oracle Analytics Server
- Managing user roles and permissions
- Implementing data-level security (row-level security)
- Setting up authentication (LDAP, Active Directory)
- Audit and access logs
Module 9: Collaboration and Sharing Insights
- Sharing dashboards and reports with other users
- Collaboration tools (comments, discussions, and annotations)
- Exporting visualizations and reports to other platforms (e.g., embedding in other web apps)
- Version control for reports and dashboards
Module 10: Performance Optimization
- Optimizing data models for performance
- Understanding and implementing caching in OAS
- Query optimization techniques
- Using the OAS Performance Analyzer
- Troubleshooting common performance issues
Module 11: OAS Administration and Management
- Administering Oracle Analytics Server: Configurations and Settings
- Metadata Management: Importing and Exporting Metadata
- Backup and restore procedures
- Monitoring and tuning the OAS server for optimal performance
- Configuring and managing data sources and services
- Managing and updating server settings