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Oracle Database 19c: Data Warehousing Techniques Intermediate

The Oracle Database 19c: Data Warehousing Techniques course equips data warehouse developers, engineers, and analysts with advanced skills in ETL processes, materialized views, and partitioning to overcome slow query performance and inefficient data refresh in large-scale analytics environments. With demand for data warehouse professionals growing by 20% annually according to Oracle’s 2023 workforce report, this course delivers hands-on expertise in optimizing Oracle 19c data warehouses for real-world business intelligence workloads.

This official Oracle University course prepares learners for the Oracle Database 19c Certified Professional (OCP) credential, a requirement for the elite Oracle Certified Master (OCM). Koenig Solutions provides guaranteed-to-run live virtual classes with official vendor-authorized courseware, enabling professionals to gain recognized expertise and advance into senior database architect or data engineering roles.

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Course Overview

The Oracle Database 19c: Data Warehousing Techniques course by Oracle is designed for data warehouse developers, engineers, and analysts responsible for designing and implementing enterprise-scale data solutions. This advanced training covers core data warehousing concepts including extraction, transformation, and loading (ETL) processes, materialized views, summary management, and metadata strategies using Oracle Database 19c. While no direct certification exam is tied exclusively to this course, it supports mastery of skills validated in Oracle’s broader database certification paths. With over 430,000 Oracle Database installations worldwide supporting data warehousing workloads, professionals with these skills are in high demand across financial services, healthcare, and retail sectors where reliable business intelligence is critical.

Participants gain hands-on experience with key Oracle technologies including Oracle Data Integrator (ODI), Oracle GoldenGate, materialized views, partitioning, parallel execution, and query rewrite optimization. In structured lab sessions conducted through the Oracle University Secure Global Desktop (OU SGD) environment, students build end-to-end ETL workflows by configuring ODI master and work repositories, defining source-to-target topologies, creating ODI models, and developing complex mappings for single and multi-source data integration. A central project involves implementing a real-world data warehouse for NuMart Electronics, where learners load and transform sales data from regional sources into a centralized TRG_SALES schema, apply change data capture techniques, and optimize query performance using materialized views with both manual and scheduled refresh methods.

This course prepares professionals for roles requiring deep expertise in Oracle data warehousing and contributes to readiness for Oracle Database certifications that carry industry-recognized credibility. Certified Oracle professionals report average salary increases of 18–25%, with data warehouse engineers earning median salaries exceeding $120,000 in North America according to 2023 IT salary surveys. Koenig Solutions enhances this learning path with Guaranteed-to-Run batches, official Oracle courseware, and access to expert instructors via 1-on-1 training options, ensuring personalized guidance. Upon completion, learners are equipped to design scalable, high-performance data warehouses that serve as trusted "single sources of truth" for enterprise analytics, enabling strategic decision-making and long-term career growth in data architecture and cloud data engineering.

What You'll Learn

Design efficient data warehouse schemas using Oracle Database 19c, a key skill for building scalable data warehouses with Oracle's proven technology
Implement materialized views in Oracle Database 19c to enable quick summary management and improve data retrieval speed
Configure fast refresh techniques for Oracle materialized views, ensuring minimal downtime and up-to-date data in your data warehouse
Manage metadata effectively with Oracle Data Integrator and Oracle Enterprise Manager Metadata Management, critical for maintaining data integrity in Oracle Database 19c
Optimize query performance in Oracle Database 19c by leveraging materialized view rewrite techniques, reducing query execution time significantly
Secure data warehouse environments in Oracle Database 19c by implementing advanced security measures, protecting sensitive data and ensuring compliance

Prerequisites

Recommended knowledge before taking this course
  • Basic understanding of data warehouse concepts and terminology as covered in Oracle's 'Oracle Database 19c: Data Warehousing Techniques' course
  • Proficiency in SQL, including analytical functions like RANK, LAG, ROLLUP, and DML/DDL statements, essential for effective data warehousing with Oracle Database 19c
  • Knowledge of relational database concepts and Oracle 19c server architecture to optimize data warehouse performance
  • Experience with dimensional modeling techniques such as star and snowflake schemas, fact and dimension tables, as taught in Oracle's data warehousing training
  • Familiarity with ETL processes and tools like SQL*Loader and external tables, crucial for data integration in Oracle data warehouses
  • Understanding of Oracle partitioning methods (range, list, hash) and query pruning to improve query efficiency in Oracle Data Warehousing Techniques
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Certification Exam

Everything you need to know about the Oracle Database 19c: Data Warehousing Techniques certification exam

Exam Details
Exam Name
Oracle Database 19c: Data Warehousing Techniques
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Not applicable
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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Oracle Database 19c: Data Warehousing Fundamentals
Mastering Oracle Data Warehousing Concepts Comparing OLTP vs Data Warehousing Environments Designing Warehouse Architecture with Staging Implementing Star Schema Design Principles Applying Snowflake Schema Design Principles Optimizing Facts and Dimensions in Schemas Structuring Third Normal Form (3NF) Schemas Balancing Logical and Physical Design Models
2
Day 2– Oracle Database 19c: ETL and Data Transformation
Advanced Data Extraction Techniques Introduction to Data Transformation Workflows Optimizing Data Transformation Techniques Efficient Data Loading Methodologies Leveraging External Tables and SQL*Loader Managing Incremental Loads and CDC Methods Executing Change Data Capture (CDC) Implementation Designing ETL Processes with SQL and PL/SQL
3
Day 3– Oracle Database 19c: Performance Optimization
Implementing Range, List, and Hash Partitioning Mastering Query Pruning and Parallel Processing Optimizing Performance with Partition-Wise Joins Utilizing Hybrid Columnar Compression Features Developing Effective Data Archival Strategies Configuring Automatic Big Table Caching Maximizing In-Memory Column Store Usage Refining Indexing Strategies for Warehouses
4
Day 4– Oracle Database 19c: Summary Management and Analytics
Creating and Managing Materialized Views Refining Materialized View Refresh Techniques Configuring Advanced Query Rewrite Mechanisms Defining Effective Summary Management Systems Applying Analytical SQL Functions (RANK, LAG) Executing Complex Time-Based Analysis Deploying Real-Time Reporting Features Mastering Rollup and Cube Operations
5
Day 5– Oracle Database 19c: Implementation and Governance
Managing Metadata in Data Warehouses Calculating Database Sizing Requirements Applying Advanced Storage Optimization Securing Data Warehousing Environments Streamlining Data Refresh Techniques Monitoring Critical Query Performance Managing Warehouse Workload Efficiency Resolving Data Warehouse Implementation Issues

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

82%

of Oracle Database 19c: Data Warehousing Techniques certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the Oracle Database 19c: Data Warehousing Techniques certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • Data Warehouse Developer
  • ETL Developer
  • Database Architect
  • Business Intelligence Analyst
  • Data Warehouse Engineer
  • Oracle Database Specialist

Companies Hiring

5,000+
Oracle Amazon Accenture Capgemini Tata Consultancy Services Wipro HCL Technologies Deloitte IBM JPMorgan Chase

and 5,000+ organizations worldwide seeking Oracle Database 19c: Data Warehousing Techniques certified professionals

Real Transformations

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    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

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    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

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    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

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    CISO, Financial Services

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  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

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    Cloud Solutions Architect

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  • ★★★★★

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    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
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    David L.

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    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
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