Real-time Credit card Fraud Detection using Spark 2.2

Real-time Credit card Fraud Detection using Spark 2.2, available at $64.99, has an average rating of 4.37, with 30 lectures, based on 771 reviews, and has 4998 subscribers.

You will learn about Students will be able to build End to End Big data project using Spark, Kafka, Cassandra, Scala and Java This course is ideal for individuals who are Data Scientist, Data Engineers, Software Engineers, Managers, Architects, Computer Science Engineering Students It is particularly useful for Data Scientist, Data Engineers, Software Engineers, Managers, Architects, Computer Science Engineering Students.

Enroll now: Real-time Credit card Fraud Detection using Spark 2.2

Summary

Title: Real-time Credit card Fraud Detection using Spark 2.2

Price: $64.99

Average Rating: 4.37

Number of Lectures: 30

Number of Published Lectures: 30

Number of Curriculum Items: 30

Number of Published Curriculum Objects: 30

Original Price: $22.99

Quality Status: approved

Status: Live

What You Will Learn

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

Who Should Attend

Data Scientist, Data Engineers, Software Engineers, Managers, Architects, Computer Science Engineering Students

Target Audiences

Data Scientist, Data Engineers, Software Engineers, Managers, Architects, Computer Science Engineering Students

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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course Objective

Lecture 2: About Me

Lecture 3: Introduction Agenda

Lecture 4: Prerequisites

Lecture 5: Components

Lecture 6: Introduction to Spark

Lecture 7: Introduction to Kafka

Lecture 8: Introduction to Cassandra

Lecture 9: Real-time Fraud Detection Architecture

Chapter 2: Real-time Fraud Detection Demonstration

Lecture 1: Agenda

Lecture 2: Install VirtualBox and Image

Lecture 3: Code Setup

Lecture 4: Start Servers

Lecture 5: Run Spark Jobs from Intellij

Lecture 6: Clean Up

Lecture 7: Airflow Configuration

Lecture 8: Build Project and Start Servers

Lecture 9: Airflow Automation

Chapter 3: Code Walkthrough

Lecture 1: Agenda

Lecture 2: Project Structure

Lecture 3: Spark Initial Import Job

Lecture 4: Spark ML Job

Lecture 5: Spark Streaming Initialization and Consumption

Lecture 6: Spark Streaming Processing and Prediction

Lecture 7: Spark Streaming Exactly Once Semantics

Lecture 8: Spark Streaming Grace-full Shutdown

Lecture 9: Kafka Producer

Lecture 10: Fraud Alert Dashboard

Lecture 11: Airflow Automation

Lecture 12: Course Conclusion

Instructors

Pramod Narayana
Multi-Discipline Leader with over 10+ years of experience in Software Development, Entrepreneurship. Big Data Enthusiast

Rating Distribution

1 stars: 20 votes
2 stars: 29 votes
3 stars: 107 votes
4 stars: 266 votes
5 stars: 349 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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