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Fme (Feature Manipulation Engine) Essentials - nieriorefasow63 - 01-14-2024 Fme (Feature Manipulation Engine) Essentials Published 1/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.55 GB | Duration: 3h 53m 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. HOMEPAGE DOWNLOAD |