Real-time Credit card Fraud Detection using Spark 2.2

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Created by Pramod Narayana | Video: 1280x720 | Audio: AAC 48KHz 2ch | Duration: 02:50 H/M | Lec: 30 | 1.26 GB | Language: English | Sub: English [Auto-generated]

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
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