Suppose if we have multiple columns in the table shown above like customer Id, product it, timestamp of purchace, price of item etc. Each customer can do multiple transactions and if we need to find a fraudulent customer(different usage pattern than existing customer) based on the transaction patterns of customer(Group by customer Id of all transactions and find similar patterns among them), can we apply pySpark for this?
... View more
