Real-time Credit card Fraud Detection using Spark 2.2
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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
Requirements
Spark Streaming, Spark ML, Kafka, Cassandra, Programming IDE like Intellij or Eclipse, Java, Scala
Description
Implementation of Real time Credit card Fraud Detection using Spark Kafka and Cassandra.
Implementation of Spark ML Pipeline Stages like String Indexer, One Hot Encoder and Vector Assembler for Pre-processing
Create machine learning model using Random Forest Algorithm
Data balancing using K-means Algorithm
Integration of Spark Streaming Job with Kafka and Cassandra
Exactly once semantics using Spark Streaming custom offset management
Run Spark Jobs from Development Environment like Intellij
Automate the Spark Jobs using Airflow Automation framework on Spark Standalone Cluster.
Who this course is for?
Data Scientist, Data Engineers, Software Engineers, Managers, Architects, Computer Science Engineering Students
Homepage
Screenshots
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