Description

Introduction

This practical training equips participants with hands-on experience in using FME Workbench to transform, validate, and integrate spatial and non-spatial datasets. The training focuses on solving real-world data challenges using visual ETL workflows, automation techniques, and best practices for building reliable, scalable data processes in enterprise environments.

Prerequisites

• Basic understanding of ETL or data processing

• Familiarity with GIS concepts (optional but beneficial)

• Knowledge of databases, file formats, or cloud systems is helpful

Table of Contents

1. Getting Started with FME Workbench

 1.1 Overview of FME Platform & Architecture
 1.2 FME Workbench Interface Essentials
 1.3 Understanding Readers, Writers & Transformers
 1.4 FME Data Inspector: Previewing & Validating Data

2. Working with Data Formats

 2.1 Spatial Data Formats: Shapefile, GeoJSON, GML, KML
 2.2 Non-Spatial Data Formats: CSV, Excel, XML, JSON
 2.3 Database Connections (PostGIS, SQL Server, Oracle)
 2.4 Working with Cloud Data (AWS S3, Azure Blob, GCP Storage)

3. Data Transformation Techniques

 3.1 Attribute Creation & Manipulation
 3.2 Schema Mapping, Renaming & Reorganization
 3.3 Geometry Transformations & Spatial Operations
 3.4 Data Cleansing & Error Correction

4. Data Validation & Quality Control

 4.1 Attribute Validation & Conditional Checks
 4.2 Spatial Validations (Topology, Overlaps, Gaps)
 4.3 Rule-Based Data Quality Pipelines
 4.4 Logging & Error Reporting

5. Spatial Data Processing

 5.1 Coordinate System Management
 5.2 Buffering, Dissolving & Overlays
 5.3 Spatial Joins & Feature Merging
 5.4 Creating Spatial Outputs for GIS & CAD

6. ETL Workflow Design

 6.1 Building End-to-End ETL Pipelines
 6.2 Modular Workflow Design with Bookmarks & Custom Transformers
 6.3 Optimizing Workflow Performance
 6.4 Batch Processing & Large-Scale Data Handling

7. Integrating Multiple Systems

 7.1 Enterprise System Integration (GIS, Databases, Cloud)
 7.2 API-Based Integrations & Web Services
 7.3 Real-Time & Event-Based Data Flows
 7.4 Cross-Format Transformation Scenarios

8. Automation & Scheduling

 8.1 Automating Workflows with FME Server
 8.2 Scheduling, Notifications & Triggering
 8.3 Parameterizing ETL Processes
 8.4 Publishing & Running Jobs in Production

9. Advanced Practical Use Cases

 9.1 Spatial Data Migration Projects
 9.2 Large-Scale Data Cleanup & Validation
 9.3 Multi-Source Integration Scenarios
 9.4 Building Automated Reporting Pipelines

10. Hands-On Projects

 10.1 Integrating Spatial & Non-Spatial Datasets
 10.2 Creating a Data Validation Workflow
 10.3 Automating a Cloud-Based ETL Job
 10.4 Transforming GIS Data for Enterprise Systems

This course enables participants to confidently use FME Workbench to handle complex data transformation, validation, and integration tasks. By completing practical exercises and real-world projects, learners gain the expertise to build high-quality ETL workflows and support enterprise data operations effectively.