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FME (Feature Manipulation Engine) Essentials
Rating: 4.4 out of 5(311 ratings)
1,506 students

FME (Feature Manipulation Engine) Essentials

Forging a Strong Ground for Spatial and non-Spatial ETL workflows.
Created byShoaib Shahzad Obaidi
Last updated 9/2024
English
English [Auto],

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.

Course content

2 sections • 26 lectures • 3h 56m total length

  • Course Introduction2:35

    Explore data transformation with FME and its transformers for spatial and non-spatial data. Design workspaces, read from diverse sources, analyze UK vehicle accidents, and publish results to PostGIS.

  • Introduction & Download the Tool6:16

    Discover how FME enables spatial and non-spatial data transformation and integration using readers, transformers, and writers for ETL workflows. Learn the download and installation steps and licensing basics.

  • Important Note0:22
  • Ways to get the FME Trial License6:10

    Learn how to apply for the FME trial license through charitable, university, student, or evaluation options, with processing times and activation instructions.

  • Import excel, shapefile, geojson, and add basemaps11:10

    Import data from excel, csv, shapefile, and geojson using the reader, merge sheets, and map results, then inspect the translation log and base maps.

  • Reading GeoJSON & from PostGIS & explaining the AttributeRenamer Transformer10:12

    Import data from GeoJSON and PostGIS into FME, rename attributes with the Attribute rename transformer, and export to CSV, shape file, and KML.

  • Writting data, attributeRenamer, attributeRemover, AttributeManager Tranformers11:44

    Export data from a GeoJSON reader to CSV, KML, and shapefile formats using attribute transformers such as remover, renamer, or manager to map and clean fields.

  • Reprojector, TestFilter Transformers, Annotation and Bookmarks11:57

    Reproject data with the reprojector to assign the correct crs and align coordinates. Use test filter and spatial filter to select centers, add annotation and bookmarks, and export formats.

  • Data Schema, Tester, Dissolver, Bufferer Transformers10:11

    Explore AFM workflows with readers, writers, and transformers, including automatic versus dynamic schema, and practical use of test filter, tester, dissolver, and buffer for data from Excel, GeoJSON, and PostGIS.

  • Terminator, Creator, Dissolver, Bufferer, AreaCalculator, LengthCalculator,.....9:40

    Learn how to build and connect FME transformers, such as terminator, creator, projector, area calculator, and length calculator, to end processes and extract areas.

  • Workspace Design, Sampler, Junction, PointOnAreaLayer Transformers11:13

    Master designing organized FME workspaces with bookmarks, apply sampler and junction transformers, and use point-on-area layer transformers for spatial analysis and data summarization across regions.

  • Conditional Value, FeatureOverlapping, FeatureReader, FeatureWriter Transformers10:02

    Demonstrate conditional value, feature reader, and feature writer transformers, and overlay operations such as point on area and area on area, with population density calculations and data export examples.

  • Counter, FeatureCounter, Sorter, AttributeSplitter, Transformers11:40

    Learn to use FME transformers to count features, assign serial numbers, and split attributes in geospatial data. Explore Counter, FeatureCounter, Sorter, and AttributeSplitter for practical data handling.

  • Concatenator, StringCaseChanger, FeatureMerger, FeatureJoiner, InlineQuerier10:15

    Master FME transformers for concatenating strings into a complete address, changing string case to uppercase, and merging or joining attributes with inline queries.

  • StringReplacer, Junction, HtmlReportGenerator10:37

    Explore FME transformers string replacer, junction, and html report generator to replace text, distribute data, and generate html reports with charts for province population and area.

  • RasterMosaicker, VectorOnRasterOverlayer, ZipArchiver Transformers6:22

    Learn to read tiff rasters, merge them with a raster mosaicker, overlay vector features on the raster using a vector on raster overlay, and zip the output.

  • SECTION QUIZ

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.

Who this course is for:

  • 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.

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