Tutorials on Big Data essentials: Hadoop, MapReduce, Spark.
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Updated
Aug 5, 2024 - Jupyter Notebook
Tutorials on Big Data essentials: Hadoop, MapReduce, Spark.
In this project, I used Decision Tree Learning Model as the main algorithm to build the model. Due to the big amount of flight data, we implement the project using MRJob, PySpark and Spark's MLlib then compare the performance and accuracy of those implementations.
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Movie rating prediction application
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Practice tasks in Python programming language using Hadoop, MRJob, PySpark for Big Data Analytics.
Project developed to make an sentiment analysis using dictionary implemented with MrJob applying a map-reduce model. It can be executed locally or in HDFS enviroments (such as Hadoop or AWS)
Search engine for movie cast generation.
Samples related to data engineering, e.g. spark, embulk, airflow, etc.
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