中By completing this course, learners will be able to identify core ETL concepts, analyze data structures, apply CloverETL tools, construct metadata definitions, process JSON and XML formats, design optimized workflows, and evaluate real-world fraud detection case studies. Through a blend of foundational training and advanced projects, participants will gain hands-on expertise in building reliable data pipelines and solving complex integration challenges.
CloverETL: Design, Analyze & Optimize Workflows
您将学到什么
Identify ETL concepts, analyze data structures, and apply CloverETL tools.
Design workflows, process JSON/XML, and validate schemas with metadata.
Build fraud detection pipelines and evaluate integration in real-world scenarios.
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最近已更新！
September 2025
作业
11 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
该课程共有3个模块
This module introduces learners to the fundamentals of CloverETL, focusing on the core ETL (Extract, Transform, Load) concepts, workflow structures, and the designer tools that power seamless data integration. Learners will explore how to build efficient ETL pipelines, create structured metadata, and perform basic file conversions—equipping them with the practical skills to handle diverse data sources and streamline data processing.
涵盖的内容
10个视频4个作业1个插件
This module dives into advanced data processing techniques using CloverETL, focusing on handling complex JSON and XML formats and mastering data mapping between sources and targets. Learners will explore how to parse and transform nested JSON data, resolve field mismatches through effective mapping, and implement XML extraction, validation, and writing workflows. By the end of the module, learners will be equipped to process hierarchical data structures, ensure schema compliance, and deliver structured outputs for seamless data integration.
涵盖的内容
9个视频3个作业
This module introduces the Credit Card Fraud Detection (CCFD) case study in CloverETL, focusing on foundational concepts and the workflow design. Learners will explore flow diagrams, metadata editing, and dataset construction, gaining a clear understanding of how to standardize and integrate multiple data sources for fraud detection.
涵盖的内容
7个视频4个作业
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