Tech Threads

Leverage Big data for fraud detection

Just writing few lines regarding  leveraging Big Data for fraud detection. Now a day’s Financial industry as well as Banking system are facing most costly challenges in terms of fraud and other financial crimes. Big Data processing framework like Hadoop and its eco systems are started helping to detect, prevent and eliminate internal and external fraud as well as reduce the associated costs.
Analyzing points of sales (POS) in shopping malls. hospitals, retail stores etc and other transactions places, Banking system are capable enough to identify and mitigate fraud immediately.
Effective usage of Big Data processing and analytics, can alert the bank that a credit or debit card has been lost or stolen by picking up on unusual behavior patterns. This then gives the bank time to put a temporary hold on the card while contacting its account owner. This helps Banking system to prevent or stop the further payment transaction carried out by criminals till customers initiate actions from their end.


Written by
Gautam Goswami

Can be reached for real-time POC development and hands-on technical training at gautambangalore@gmail.com. Besides, to design, develop just as help in any Hadoop/Big Data handling related task. Gautam is a advisor and furthermore an Educator as well. Before that, he filled in as Sr. Technical Architect in different technologies and business space across numerous nations.
He is energetic about sharing information through blogs, preparing workshops on different Big Data related innovations, systems and related technologies.

Page: 1 2

Recent Posts

The Role of Materialized Views in Modern Data Stream Processing Architectures + RisingWave

Incremental computation in data streaming means updating results as fresh data comes in, without redoing… Read More

3 weeks ago

Unlocking the Power of Patterns in Event Stream Processing (ESP): The Critical Role of Apache Flink’s FlinkCEP Library

We call this an event when a button is pressed, a sensor detects a temperature… Read More

1 month ago

Real-Time Redefined: Apache Flink and Apache Paimon Influence Data Streaming’s Future

Apache Paimon is made to function well with constantly flowing data, which is typical of… Read More

2 months ago

Revolutionize Stream Processing with the Power of Data Fabric

A data fabric is an innovative system designed to seamlessly integrate and organize data from… Read More

2 months ago

Bridging the Gap: Unlocking the Power of HDFS-Based Data Lakes with Streaming Databases

Big data technologies' quick development has brought attention to the necessity of a smooth transition… Read More

3 months ago

Which Flow Is Best for Your Data Needs: Time Series vs. Streaming Databases

Data is being generated from various sources, including electronic devices, machines, and social media, across… Read More

3 months ago