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This big data project focuses on solving the small file problem to optimize data processing efficiency by leveraging Apache Hadoop and Spark within AWS EMR by implementing and demonstrating effective techniques for handling large numbers of small files.
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The goal of this spark project for students is to explore the features of Spark SQL in practice on the latest version of Spark i.e. Spark 2.0.
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COVID-19 Data Analysis Project using Python and AWS to build an automated data pipeline that processes COVID-19 data from Johns Hopkins University and generates interactive dashboards to provide insights into the pandemic for public health officials, researchers, and the general public.
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In this machine learning project you will work on creating a robust prediction model of Rossmann's daily sales using store, promotion, and competitor data.
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In this PyTorch Project you will learn how to build an LSTM Text Classification model for Classifying the Reviews of an App .
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FEAST Feature Store Example- Learn to use FEAST Feature Store to manage, store, and discover features for customer churn prediction machine learning project.
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