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Big Data Analytics with Hadoop and Spark

Big Data Analytics with Hadoop and Spark

£25

£50

Master the essential tools and techniques for big data analytics using Hadoop and Spark. Learn to process, analyze, and extract insights from massive datasets.

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Expiry period Lifetime
Made in English
Last updated at Mon Nov 2024
Level
Intermediate
Total lectures 0
Total quizzes 0
Total duration Hours
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Short description Master the essential tools and techniques for big data analytics using Hadoop and Spark. Learn to process, analyze, and extract insights from massive datasets.
Outcomes
  • Understand the fundamentals of big data and its challenges.
  • Master the Hadoop ecosystem (HDFS, YARN, MapReduce).
  • Gain proficiency in Spark for data processing and analysis (RDDs, DataFrames, SQL).
  • Build data pipelines and perform ETL operations.
  • Apply machine learning techniques to big data using Spark MLlib.
  • Develop skills in data visualization and storytelling.
Requirements
  • A computer with a stable internet connection and sufficient RAM (8GB or more recommended)
  • Basic programming knowledge (Python or Scala preferred)
  • A code editor or an IDE (Integrated Development Environment)
  • (Optional) Access to a Hadoop cluster or a cloud-based Hadoop environment (e.g., AWS EMR, Google Cloud Dataproc)