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Day wise distribution of class :
Detail Deion of class :
Introduction to Big Data and Distributed Computing :
Big data analysis is future. This section of course will help you to understand, the need of distributed computation.
Introduction to data.
Data Science a vision.
Python : Refresher
Spark Introduction :
Operations On RDD :
Paired RDD :
Fault tolerance and Persistence :
Optimizing Spark program :
IO in Spark :
Spark Streaming :
Spark Code Deployment and cluster managers :
Note : Every part of course will be associated with hands on . A number of objective questions will always help you in scratch your brain.
Project 1 : Spark core can be used for data preparation and aggregation. Aggregation will be implemented using Spark core APIs.
For data aggregation movie lance data will be used.
Project 2 : Implementing streaming data word frequency visualization. using Kafka and Spark streaming integration.
Project 3 : Implementation of Moving average using SparkSQL.
Project 4 : Data preprocessing, data manipulation and aggregation using SparkSQL. It will be done using Real time data.