Fme (Feature Manipulation Engine) Essentials

Forging a Strong Groung for Spatial and non-Spatial ETL workflows.

What you’ll learn
FME Fundamentals: Students will gain a solid understanding of FME’s interface, core functionalities, and essential concepts.
Spatial and Non-Spatial Data Transformation: Students will master techniques for manipulating and transforming both spatial and non-spatial data using FME.
Students will learn how to seamlessly integrate and transform spatial dataseta with non-spatial one, including tabular data and databases.
Students will acquire skills in automating ETL workflows, optimizing processes, and integrating FME into larger data pipelines.

Requirements
No prerequisites are required for taking this course. All you need is a passion for dealing with data and automation processes.

Description
Embark on a transformative two-section journey in our course, “FME Essentials: Forging a Strong Ground for Spatial and Non-Spatial ETL Workflows.” In the First Section, kickstart your FME exploration by downloading the tool and securing a trial license from SafeSoftware Company (note that an official email address is required for this step). This immersive experience begins with an in-depth navigation of the user interface, guiding you through the intricacies of handling various data formats using FME readers. Delve into the art of data transformation, mastering a diverse array of transformers, and acquiring proficiency in efficiently writing or exporting data into multiple formats utilizing FME writers.As you seamlessly transition into the Second Section, dive into a hands-on project that delves into the complexities of real-world data challenges. Take on uncleaned non-spatial and spatial data, skillfully combining and transforming these datasets for a meticulous cleanup. Conduct a comprehensive data analysis, extracting valuable insights that unravel the narrative hidden within the information. The project’s culmination involves exporting the refined data into various formats and showcasing your newfound skills, including proficiency in exporting to PostGIS.This course not only imparts fundamental skills but also provides a holistic understanding through a real-world project experience. By seamlessly blending theory with practical application, you will emerge not just knowledgeable but proficient in leveraging FME for intricate spatial and non-spatial ETL workflows, setting the stage for a successful and impactful journey in data transformation.

Overview
Section 1: Exploring FME UI & Transformers

Lecture 1 Introduction & Download the Tool

Lecture 2 Ways to get the FME Trial License

Lecture 3 Import excel, shapefile, geojson, and add basemaps

Lecture 4 Reading GeoJSON & from PostGIS & explaining the AttributeRenamer Transformer

Lecture 5 Writting data, attributeRenamer, attributeRemover, AttributeManager Tranformers

Lecture 6 Reprojector, TestFilter Transformers, Annotation and Bookmarks

Lecture 7 Data Schema, Tester, Dissolver, Bufferer Transformers

Lecture 8 Terminator, Creator, Dissolver, Bufferer, AreaCalculator, LengthCalculator,…..

Lecture 9 Workspace Design, Sampler, Junction, PointOnAreaLayer Transformers

Lecture 10 Conditional Value, FeatureOverlapping, FeatureReader, FeatureWriter Transformers

Lecture 11 Counter, FeatureCounter, Sorter, AttributeSplitter, Transformers

Lecture 12 Concatenator, StringCaseChanger, FeatureMerger, FeatureJoiner, InlineQuerier

Lecture 13 StringReplacer, Junction, HtmlReportGenerator

Lecture 14 RasterMosaicker, VectorOnRasterOverlayer, ZipArchiver Transformers

Section 2: Course Project (UK RTA)

Lecture 15 FME UK RTA Project (Part 1)

Lecture 16 FME UK RTA Project (Part 2)

Lecture 17 FME UK RTA Project (Part 3)

Lecture 18 FME UK RTA Project (Part 4)

Lecture 19 FME UK RTA Project (Part 5)

Lecture 20 FME UK RTA Project (Part 6)

Lecture 21 Conclusion

Lecture 22 A Kind Reminder

Lecture 23 More GIS Related Courses

This course is designed for individuals who have a keen interest in working with data and automation processes. Whether you’re a GIS professional, data analyst, or someone looking to enhance your skills in spatial and non-spatial data transformation, this course is tailored to meet your needs. It’s suitable for beginners with no prior experience and those seeking to expand their expertise in leveraging FME for efficient ETL workflows.