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Data Integration Pipeline

May 2023
Data IntegrationAutomationSpatial ETL

Project Overview

This project involved building an automated workflow to integrate data from multiple sources into a centralized database. The system needed to handle various data formats, coordinate systems, and update frequencies.

Technical Approach

I used FME Workbench to design and implement a series of interconnected workflows that extract data from various sources, transform it to a common format and coordinate system, and load it into a centralized PostgreSQL/PostGIS database.

Key Features

The integration pipeline included automated data validation, error handling with notification systems, coordinate system transformations, and incremental updates to minimize processing time. The system was scheduled to run at different intervals depending on the update frequency of each data source.

Results and Impact

The automated integration pipeline reduced data processing time by 90% compared to the previous manual process, while improving data quality through consistent validation procedures. The system now integrates data from over 15 different sources and provides a reliable foundation for downstream applications.

Project Gallery

FME workflow overview

High-level overview of the FME workflow

Data source connections

Configuration of various data source connections

Transformation rules

Detailed transformation rules for data standardization

Coordinate system transformations

Implementation of coordinate system transformations

Validation checks

Data validation checks and error handling

Incremental update logic

Logic for performing incremental updates

Integrated data model

The final integrated data model in the database

Performance dashboard

Dashboard showing integration performance metrics

Data quality report

Sample data quality report generated by the system

Workflow

FME workflow overview

High-level overview of the FME workflow

Data source connections

Configuration of various data source connections

Transformation rules

Detailed transformation rules for data standardization

Implementation

Coordinate system transformations

Implementation of coordinate system transformations

Validation checks

Data validation checks and error handling

Incremental update logic

Logic for performing incremental updates

Results

Integrated data model

The final integrated data model in the database

Performance dashboard

Dashboard showing integration performance metrics

Data quality report

Sample data quality report generated by the system