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Spark Analytics Data Processing

Track :

Programming

Lessons no : 3

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What will you learn in this course?
  • Master Spark data processing techniques for large-scale analytics and real-time data streaming using Spark SQL and Spark Streaming
  • Implement machine learning models and graph computations efficiently with Spark MLlib and GraphX for big data insights
  • Optimize Spark applications for performance, scalability, and resource management in distributed data environments
  • Apply best practices for integrating Spark with other big data tools and frameworks for comprehensive data analytics

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Lessons | 3


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Nikhil Ahire

Good 2025-10-08

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Good 2025-09-30

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Very Useful 2024-10-18

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Spark is a general-purpose distributed data processing engine that is suitable for use in a wide range of circumstances. On top of the Spark core data processing engine, there are libraries for SQL, machine learning, graph computation, and stream processing, which can be used together in an application .