Machine learning Models in a Distributed Environment Powered by Apache Spark on Hadoop, AWS and Azure
1. Handling Data in a Distributed Environment with Apche Spark running on Azure, AWS
2. Models and Jobs Distribution to the clusters with RDDs
3. Machine Learning Models with Spark MLlib
4. Deployment of Ready Code wit CI/CD Pipeline
5. Automation of predicting User’s Sentiment with Spark’s own Libraries
6. Forecasting Sales, Growth, Inventory, Revenue etc.
7. MapReduce on Hadoop
8. Spark streaming, Spark SQL, MLib, GraphX
9. Spark RDD transformations, actions, and manipulation of Data Frame’s, Persistence
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