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Hands On PySpark for Big Data Analysis

Track :

Programming

Lessons no : 6

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What will you learn in this course?
  • Master PySpark for big data analysis using Python, Spark API, distributed computing, in-memory processing, data transformation, and scalable data workflows
  • Optimize large-scale data processing with PySpark, Spark DataFrames, RDDs, and cluster computing techniques
  • Implement real-world big data solutions using PySpark, including data ingestion, cleaning, and transformation workflows
  • Enhance data analysis skills with PySpark SQL, machine learning integration, and performance tuning for big data projects
  • Develop scalable data pipelines and automate big data tasks using PySpark in cloud and on-premise environments
  • Troubleshoot and debug PySpark applications efficiently to ensure high-performance big data analytics

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Lessons | 6


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The Spark Python API (PySpark) exposes the Spark programming model to Python. Apache® Spark™ is an open source and is one of the most popular Big Data frameworks for scaling up your tasks in a cluster. It was developed to utilize distributed, in-memory data structures to improve data processing speeds.