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Course Outline
Introduction to Data Warehousing
- Defining a data warehouse.
- The value of warehousing in analytics and reporting.
- Oracle Database 19c’s capabilities for warehousing.
Oracle Data Warehouse Architecture
- Core components: source data, ETL, staging, and presentation layers.
- Comparing star and snowflake schemas.
- Oracle tools for managing data warehouse environments.
Data Modeling Fundamentals
- Fact and dimension tables.
- Surrogate keys and data granularity.
- Basics of slowly changing dimensions (SCD).
Introduction to ETL Processes
- Overview of ETL and Oracle-supported tools.
- Batch loading versus real-time loading.
- Challenges in data integration and quality assurance.
Query and Reporting Concepts
- Basics of OLAP versus OLTP workloads.
- How Oracle optimizes queries for data warehouses.
- Introduction to materialized views and aggregates.
Planning and Scaling Oracle Warehouses
- Hardware and architectural considerations.
- Benefits of partitioning and compression.
- Overview of Oracle licensing and features.
Use Cases and Best Practices
- Case studies in warehouse design.
- Best practices for planning Oracle data warehouse projects.
- Launching a pilot implementation.
Summary and Next Steps
Requirements
- A foundational understanding of relational databases.
- Basic proficiency in SQL.
- No previous experience with Oracle data warehousing is necessary.
Target Audience
- Data analysts.
- IT personnel preparing to work with Oracle data warehousing solutions.
- Business intelligence teams.
14 Hours
Testimonials (2)
good explanation on each points and provide assignment for practices.
Piseth Ben - ACLEDA Bank Plc.
Course - Oracle Database 19c: SQL Tuning Workshop
Learning about a new tool, the practices help a lot in understanding the topics, and that was what I liked the most.
David Vargas Alpizar - BANCO BAC SAN JOSE S.A
Course - Oracle Database 19c: Administration
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