Introduction

SQL for ERP Data Extraction Training Course is designed for professionals aiming to enhance their ability to efficiently extract, manage, and analyze data from Enterprise Resource Planning (ERP) systems using SQL (Structured Query Language). As businesses become more data-driven, the demand for skilled professionals who can manipulate and query ERP data has never been greater. This course offers hands-on training in SQL queries, data extraction techniques, and ERP system integration, with a strong emphasis on real-world application and problem-solving. It is particularly valuable for those seeking to improve decision-making through actionable data insights extracted from ERP platforms.

By the end of this training, participants will have mastered SQL techniques to work with various ERP systems, enabling them to perform advanced data extraction, aggregation, and reporting tasks. With a focus on practical scenarios, case studies, and key industry practices, this course empowers students to leverage ERP data for actionable business intelligence. SQL for ERP Data Extraction is a vital skill for business analysts, data engineers, and IT professionals looking to optimize ERP data workflows and contribute to data-driven business strategies.

Programme Curriculum

SQL for ERP Data Extraction Training Course

Introduction

Course Duration

10 days

Course Objectives

Learn SQL fundamentals for ERP data management and extraction.
Master ERP database architecture to efficiently query and extract relevant data.
Gain practical experience in writing advanced SQL queries for data filtering and reporting.
Understand ERP system data integration and the use of SQL in extracting cross-functional data.
Develop data extraction skills for commonly used ERP platforms like SAP, Oracle, and Microsoft Dynamics.
Automate regular data extraction tasks using SQL stored procedures and scripts.
Learn data aggregation techniques to support financial and operational reporting.
Explore data transformation techniques within SQL for ERP-specific data structures.
Implement data validation and cleansing techniques in SQL to ensure accuracy and consistency.
Acquire expertise in extracting real-time business intelligence (BI) from ERP data.
Enhance your ability to design SQL queries for complex data sets across multiple ERP modules.
Learn how to integrate SQL-extracted data with third-party analytics tools for enhanced reporting.
Master performance optimization techniques to accelerate ERP data extraction and reduce query processing time.

Target Audience

Business Analysts.
Data Engineers and Database Administrators.
IT professionals.
ERP Consultants.
Data Scientists.
Financial Analysts.
Supply Chain Analysts.
ERP End-Users.

Course Modules

Module 1: Introduction to ERP Systems and SQL

Overview of ERP systems
Basics of SQL and its role in data extraction
ERP system architecture and data models
Understanding relational databases and table structures
Case study: Identifying key data entities in ERP systems

Module 2: Setting Up SQL Environment for ERP Data Extraction

Installing SQL Server and ERP system integration tools
Configuring database connections for ERP data
SQL query optimization tools and techniques
Accessing and managing ERP data from SQL platforms
Case study: Best practices for ERP data security and privacy

Module 3: Writing Basic SQL Queries for Data Extraction

SELECT statements and basic filtering techniques
Joining tables in SQL for ERP data extraction
Using WHERE, GROUP BY, and ORDER BY clauses
Filtering with advanced SQL operators
Case study: Sorting and formatting ERP data output

Module 4: Advanced SQL for ERP Systems

Writing nested queries and subqueries
Complex JOIN operations for cross-functional data
Case study: Using window functions for advanced analysis
Subsetting data with UNION and INTERSECT operations
Advanced data filtering with conditional statements

Module 5: Data Aggregation and Reporting

Using SQL GROUP BY for summary reporting
Aggregate functions
Creating time-series reports with SQL
Case study: Creating pivot tables using SQL queries
SQL for financial and operational KPIs

Module 6: Automating Data Extraction with SQL Stored Procedures

Creating and managing stored procedures in SQL
Using triggers for automatic data updates
Case study: Scheduling regular data extraction tasks
Error handling in SQL stored procedures
Performance optimization for automated tasks

Module 7: Data Transformation for ERP Data Extraction

Data cleansing and standardization in SQL
Using CASE and CAST functions for data transformation
Converting and formatting ERP data for reporting
Case study: Handling null values and missing data
Data aggregation across multiple ERP modules

Module 8: Performance Optimization for ERP Queries

Indexing for faster query execution
Query execution plans and optimization techniques
Partitioning large datasets for improved performance
Case study: Using caching to reduce query response times
SQL optimization for ERP environments

Module 9: Data Validation and Quality Assurance

Validating extracted data against ERP system sources
Ensuring data consistency and accuracy
Handling data anomalies and errors in SQL
Case study: Implementing data validation checks in SQL queries
Techniques for ensuring high-quality data extraction

Module 10: Real-Time Data Extraction for Business Intelligence (BI)

Connecting ERP systems to BI tools via SQL
Extracting real-time data for operational reporting
Using SQL queries to create dashboards and visualizations
Integrating SQL-extracted data with Power BI and Tableau
Case study: Real-time analytics in ERP systems with SQL

Module 11: Cross-Module Data Extraction in ERP Systems

Extracting data from Finance and Accounting modules
Data extraction from HR, Payroll, and Employee Management systems
Inventory and Supply Chain data extraction
Customer Relationship Management (CRM) data extraction
Case study: Extracting sales and procurement data from ERP

Module 12: Integrating ERP Data with Third-Party Tools

Connecting ERP data with third-party ETL tools
Exporting data from SQL to Excel, CSV, and other formats
Integration with cloud platforms (AWS, Azure)
Case study: Using SQL to push data into external databases
ERP data synchronization with external systems

Module 13: Handling Large Datasets and Complex ERP Queries

Strategies for working with large ERP data volumes
Partitioning large tables in SQL for efficient querying
Writing optimized SQL queries for big data in ERP
Using SQL for parallel processing in ERP systems
Case study: Optimizing complex queries in SAP

Module 14: Custom SQL Solutions for ERP User Requirements

Tailoring SQL queries to meet specific business needs
Writing SQL queries for custom ERP modules
Developing dynamic reports with SQL parameters
Creating SQL views and functions for recurring reports
Case study: Handling custom data requests from business users

Module 15: ERP Data Extraction for Decision Making

Using ERP data for informed decision-making
SQL queries for business strategy and forecasting
Data-driven decision-making in operations and finance
Case study: How SQL queries drive business efficiency
Reporting for top-level management and stakeholders

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Programme Fee

Duration: 10 Days

Method: Online or Physical

Online Price: $2,000

Physical Price: $3,000

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $2,000