Real-time Credit card Fraud Detection using Spark 2.2

Real time Credit card Fraud detection using Spark Streaming, Spark ML, Kafka, Cassandra and Airflow

What you'll learn:

• Students will be able to build End to End Big data project using Spark, Kafka, Cassandra, Scala and Java

Real-time Credit card Fraud Detection is implemented using Spark Kafka and Cassandra.

Spark ML Pipeline Stages like String Indexer, One Hot Encoder and Vector Assembler is used for Pre-processing

Machine Learning model is created using the Random Forest Algorithm

Data balancing is done using K-means Algorithm

Integration of Spark Streaming Job with Kafka and Cassandra

Exactly-once semantics is achieved using Spark Streaming custom offset management

Airflow Automation framework is used to automate Spark Jobs on Spark Standalone Cluster.