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In this big data project, you will use Hadoop, Flume, Spark and Hive to process the Web Server logs dataset to glean more insights on the log data.
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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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This dbt project focuses on building a streaming pipeline integrating dbt Cloud, Snowflake and Amazon Kinesis for real-time processing and analysis of Stock Market Data.
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Time Series Analysis Project - Use the Facebook Prophet and Cesium Open Source Library for Time Series Forecasting in Python
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To understand cltv and the factors affecting cltv and to analyze various customer segments such as loyal, retained and churned.
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In this machine learning project, you will learn to implement Regression Discontinuity Design Example in Python to determine the effect of age on Mortality Rate in Python.
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