This course introduces distributed computing frameworks and big data visualization techniques. Learners will explore MapReduce, work with Apache Spark, implement transformations with PySpark, and use Spark SQL for large-scale analysis. The course concludes with building compelling dashboards and reports using Power BI for actionable business insights.
Data Processing, Exploratory Analysis and Visualization
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该课程共有1个模块
This module introduces the core concepts that define distributed computing and how they address the challenges of processing massive datasets. Students will learn about parallel processing concepts, distributed systems architecture, and the MapReduce programming model that forms the foundation of modern big data processing frameworks.
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