Get in Touch
 Duration 21 hours

Course Outline

Overview of Oracle Data Warehousing Capabilities

  • Structural frameworks and specific operational applications
  • Distinctions between transactional and analytical processing environments
  • Primary elements of an Oracle data warehousing implementation

Architectural Design of Warehouse Schemas

  • Dimensional modeling methodologies: star and snowflake configurations
  • Configuration of fact and dimension tables
  • Management of slowly changing dimensions (SCD)

Data Ingestion and ETL Methodologies

  • Development of extraction, transformation, and loading procedures using SQL and PL/SQL
  • Integration via external tables and SQL*Loader utilities
  • Implementation of incremental loading and Change Data Capture (CDC) mechanisms

Data Partitioning and Performance Enhancement

  • Partitioning techniques: range-based, list-based, and hash-based
  • Optimization of query pruning and parallel execution processes
  • Best practices for partition-wise joins and structural efficiency

Data Compression and Storage Efficiency

  • Application of hybrid columnar compression technologies
  • Strategic approaches to data archival
  • Balancing storage costs with system performance requirements

Advanced Query Optimization and Analytical Functions

  • Utilization of materialized views and automatic query rewrite features
  • Application of advanced analytical SQL functions (RANK, LAG, ROLLUP)
  • Support for time-series analysis and immediate reporting capabilities

Warehouse Monitoring and System Tuning

  • Continuous assessment of query execution efficiency
  • Management of resource allocation and workload distribution
  • Tailored indexing strategies for data warehousing contexts

Conclusion and Recommended Next Actions

Requirements

  • Proficiency in SQL and fundamental Oracle database concepts
  • Practical experience with Oracle 12c/19c in administrative or developmental capacities
  • Foundational understanding of data warehousing principles

Target Audience

  • Developers specializing in data warehouses
  • Database administrators
  • Business intelligence professionals

Number of participants


Price per participant

Testimonials (1)

Upcoming Courses

Related Categories