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In this AWS Project, you will learn how to build a data pipeline Apache NiFi, Apache Spark, AWS S3, Amazon EMR cluster, Amazon OpenSearch, Logstash and Kibana.
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In this spark project, you will use the real-world production logs from NASA Kennedy Space Center WWW server in Florida to perform scalable log analytics with Apache Spark, Python, and Kafka.
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Use Spark , Grafana, and InfluxDB to build a real-time e-commerce users analytics dashboard by consuming different events such as user clicks, orders, demographics
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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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To understand cltv and the factors affecting cltv and to analyze various customer segments such as loyal, retained and churned.
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Build a time series ARIMA model in Python to forecast the use of arrival rate density to support staffing decisions at call centres.
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