Real-time Credit card Fraud Detection using Spark 2.2

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:

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.

Who this course is for:

• Data Scientist, Data Engineers, Software Engineers, Managers, Architects, Computer Science Engineering Students
• Master the Coding Interview: Data Structures + Algorithms
• Scrum Certification Prep +Scrum Master+ Agile Scrum Training
• Relational Database Design
• SQL for Beginners: Learn SQL using MySQL and Database Design

Course Details:

• 3 hours on-demand video
• 11 downloadable resources
• Full lifetime access
• Access on mobile and TV
• Certificate of completion

Real-time Credit card Fraud Detection using Spark 2.2 udemy courses free download

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