CG数据库 >> Real-time Credit card Fraud Detection using Spark 2.2

Created by Pramod Narayana | Video: 1280×720 | 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 AirflowWhat you’ll learnStudents will be able to build End to End Big data project using Spark, Kafka, Cassandra, Scala and JavaRequirementsSpark Streaming, Spark ML, Kafka, Cassandra, Programming IDE like Intellij or Eclipse, Java, ScalaDescriptionImplementation 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-processingCreate machine learning model using Random Forest AlgorithmData balancing using K-means AlgorithmIntegration of Spark Streaming Job with Kafka and CassandraExactly once semantics using Spark Streaming custom offset managementRun Spark Jobs from Development Environment like IntellijAutomate 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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