Advanced Data Extraction
and Management Using
Oracle Database
04 – 08 August 2025
Sandton Centre
Johannesburg South Africa
Register Now! Limited Seats Available!
R24, 999.00 Per Delegate
Course Overview
As organizations increasingly rely on data for decision-making, the ability to efficiently extract, manage, and analyze large datasets is critical. This advanced course is designed to equip professionals with the knowledge and skills required to work with Oracle databases for effective data extraction, management, and analysis.
Using Structured Query Language (SQL) and PL/SQL, participants will learn advanced techniques to extract and manage tax-related data, including SARs (Self-Assessment Returns). The course also covers data security, performance tuning, and fraud detection techniques using Oracle’s powerful analytics tools.
Participants will gain practical experience in:
• Extracting VAT refund data and compliance reports
• Identifying tax evasion patterns using SQL queries
• Managing and securing financial data in Oracle
• Performance tuning for large dataset queries
Course Objectives
- By the end of this course, participants will be able to:
1. Master Advanced SQL Queries – Extract and manipulate large datasets using advanced SQL and PL/SQL techniques.
2. Optimize Query Performance – Use indexing, query tuning, and partitioning to improve database efficiency.
3. Extract and Analyze SARs Data – Work with large financial datasets, generate compliance reports, and detect anomalies.
4. Ensure Data Security and Compliance – Implement access controls, audit trails, and encryption for tax-related data.
5. Use Oracle for Fraud Detection – Apply analytical SQL and machine learning techniques to detect fraudulent tax refund claims.
6. Automate Data Processing with PL/SQL – Develop stored procedures, functions, and triggers to streamline data management.
7. Integrate Oracle Data with BI Tools – Export and visualize extracted data using Power BI, Tableau, and Excel.
Who Should Attend?
This course is ideal for professionals working with financial, tax, and compliance data, including:
• Tax Officers & Auditors
• Revenue & Compliance Analysts
• Data Analysts & IT Professionals
• Quality Assurance Officers
• Fraud Investigators
• Database Administrators
Basic knowledge of SQL is recommended but not required. The course includes an SQL refresher module.
Course Outline
Introduction to Oracle Database for Advanced Data Management
• Overview of Oracle Database architecture
• Understanding relational database concepts
• Introduction to Structured Query Language (SQL)
• Connecting to Oracle databases using SQL Developer & PL/SQL
Advanced SQL for Data Extraction
• Writing complex SQL queries for data retrieval
• Using JOINS, SUBQUERIES, and COMMON TABLE EXPRESSIONS (CTEs)
• Aggregation functions, grouping, and analytical SQL (ROLLUP, CUBE, GROUPING SETS)
• Practical Hands-on:
o Extracting revenue and compliance data from tax reports
o Analyzing VAT refunds and discrepancies using SQL
Data Manipulation and Management
• Data insertion, updates, and deletions efficiently (INSERT, UPDATE, MERGE, DELETE)
• Bulk operations and performance optimization
• Using Oracle Partitioning for large datasets
• Practical Hands-on:
o Managing tax records and refund transactions
o Identifying fraudulent refund claims using update logs
PL/SQL for Advanced Data Processing
• Introduction to PL/SQL programming
• Writing stored procedures, functions, and packages
• Exception handling and debugging PL/SQL blocks
• Practical Hands-on:
o Automating VAT refund processing using stored procedures
o Detecting anomalies in taxpayer transactions using triggers
Data Extraction for Analytics and Reporting
• Using SQL queries for structured data extraction
• Exporting data to CSV, Excel, and XML formats
• Integrating Oracle with BI tools (Power BI, Tableau)
Practical Hands-on:
o Extracting large taxpayer data for revenue trend analysis
o Generating detailed reports on compliance using extracted SARs data
Performance Optimization and Query Tuning
• Indexing strategies for faster data retrieval
• Optimizing queries using EXPLAIN PLAN and AUTOTRACE
• Oracle Materialized Views and Query Caching
• Practical Hands-on:
o Improving query performance for large financial transactions
o Tuning SQL queries for compliance audits and VAT monitoring
Oracle Data Security and Access Control
• Role-based access control in Oracle
• Data encryption techniques and securing tax-related data
• Implementing audit trails and monitoring unauthorized access
• Practical Hands-on:
o Setting up access restrictions for VAT refund processing teams
o Tracking changes in sensitive taxpayer records using audit logs
Oracle Advanced Analytics and Fraud Detection
• Using Oracle SQL Analytics for pattern detection
• Machine Learning in Oracle for predictive analytics
• Practical Hands-on:
o Identifying fraudulent refund activities using pattern recognition
o Forecasting revenue trends using Oracle’s built-in analytics functions
Final Project & Assessment
Capstone Project
• Scenario: Participants will extract, manage, and analyze VAT refund data to detect fraud and generate compliance reports.
• Project Deliverables:
o SQL queries for data extraction
o PL/SQL scripts for automation
o Performance-optimized queries
o Fraud detection report
End of the workshop
IN HOUSE AND ONLINE TRAINING
While both In-House and Online training can present with cost-effectiveness and time-efficacy, there are some very specific differences between in-house courses and those based online.
The demand for additional courses by individuals or groups of people is increasing. Still, it depends entirely on the preferences of a person what type of training he or she wants to receive. Online courses and in-house training carry some similarities but they are considered to exhibit some very pivotal differences too. Despite that, both types of learning can be really beneficial for attendees.
For Registration and other Training arrangements,
contact us on the detail below.
SOUTH AFRICA : +27 11 057 6001
TANZANIA Cell: +255 769 688 544
WhatsApp +27 79 574 0389
info@bmktraining.co.za / www.bmktraining.com
