Learning Paths
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Big Data with PySpark
0 courses
0 hours
- Skill IQ
The Big Data with PySpark learning path equips learners with the skills to process, transform, and analyze large datasets efficiently. This path covers data ingestion, ETL workflows, query optimization, and distributed machine learning using PySpark DataFrames, SQL, MLlib, and Structured Streaming. By mastering performance tuning and real-time processing, learners can build scalable data pipelines for analytics, machine learning, and big data applications.