SlideShare a Scribd company logo

Analyze Telecom Fraud at Hadoop Scale

•
•
DataWorks Summit/Hadoop Summit
DataWorks Summit/Hadoop Summit

Analyze Telecom Fraud at Hadoop Scale

Technology
1 of 13
Download to read offline
Page1 Diyotta, Inc. All Rights Reserved Analyze Telecom Fraud at Hadoop Scale 29th June 2016 Sanjay Vyas Co-founder & COO, Diyotta
Page2 Diyotta, Inc. All Rights Reserved Telecom-Relevant Glossary • CDR – Call Detail Record • Any phone call generates a CDR • IPDR – IP Detail Record • Any internet browsing activity generates an IPDR • IVR – Interactive Voice Response • Automated telephone response system usually for typical queries
Page3 Diyotta, Inc. All Rights Reserved Fraud in Telecom Global Mobile Industry $2.2T Revenue Losses due to Fraud $46.3B Reference: http://www.argyledata.com/files/Telecom-Fraud-101-eBook.pdf
Page4 Diyotta, Inc. All Rights Reserved A Day In Life of Telecom Data (Fraud Use-Case) Source Systems Ingestion Pipelines Target Data Sets Fraud Analysis Minataur
Page5 Diyotta, Inc. All Rights Reserved Legacy State for Fraud Analytics Monolithic Script Based file Ingestion Minataur Fraud Application • Limited capacity for processing • Cannot Scale for Volume/Velocity • Cannot do on-demand real-time Analytics
Page6 Diyotta, Inc. All Rights Reserved Business Challenges • Business not able to • analyze IPDR Data due to the sheer volume • ingest streaming data from IVR systems for fraud analysis • Perform on-demand real-time fraud analytics for deeper insights
Page7 Diyotta, Inc. All Rights Reserved IT Challenges with Hadoop Adoption • Skill Gap • Limited in-house expertise on evolving technologies and keep up the pace • Enterprise Standards • Manual coding suffers from quality/maintenance issues and is inconsistent • Scalability across data and technology • Real-time, social media, multi-processing engines • Data Lineage
Page8 Diyotta, Inc. All Rights Reserved Solution Components
Page9 Diyotta, Inc. All Rights Reserved Solution Architecture for Fraud Use-Case
Page10 Diyotta, Inc. All Rights Reserved Diyotta Modern Data Integration Platform
Page11 Diyotta, Inc. All Rights Reserved Page11 Diyotta, Inc. All Rights Reserved Diyotta Architecture
Page12 Diyotta, Inc. All Rights Reserved Page12 Diyotta, Inc. All Rights Reserved Customer Success Story
Page13 Diyotta, Inc. All Rights Reserved Q&A Sanjay Vyas Email: sanjay@diyotta.com Web: http://www.diyotta.com Trial: www.Diyotta.com/try

Recommended

Telecom Fraud Detection
Telecom Fraud DetectionTelecom Fraud Detection
Telecom Fraud DetectionPunit Kishore
 
Telecom Fraud Detection - Naive Bayes Classification
Telecom Fraud Detection - Naive Bayes ClassificationTelecom Fraud Detection - Naive Bayes Classification
Telecom Fraud Detection - Naive Bayes ClassificationMaruthi Nataraj K
 
Fraud in Telecoms
Fraud in TelecomsFraud in Telecoms
Fraud in TelecomsErick O'Connor
 
Frauds in telecom sector
Frauds in telecom sectorFrauds in telecom sector
Frauds in telecom sectorsksahu099
 
A data mining framework for fraud detection in telecom based on MapReduce (Pr...
A data mining framework for fraud detection in telecom based on MapReduce (Pr...A data mining framework for fraud detection in telecom based on MapReduce (Pr...
A data mining framework for fraud detection in telecom based on MapReduce (Pr...Mohammed Kharma
 
Types of telecom fraud
Types of telecom fraudTypes of telecom fraud
Types of telecom fraudOluwaseun ADEBAYO
 
Managing Big data using Hadoop Map Reduce in Telecom Domain
Managing Big data using Hadoop Map Reduce in Telecom DomainManaging Big data using Hadoop Map Reduce in Telecom Domain
Managing Big data using Hadoop Map Reduce in Telecom DomainAM Publications
 
Subscription fraud analytics using classification
Subscription fraud analytics using classificationSubscription fraud analytics using classification
Subscription fraud analytics using classificationSomdeep Sen
 

Recommended

Telecom Fraud Detection
Telecom Fraud DetectionTelecom Fraud Detection
Telecom Fraud DetectionPunit Kishore
 
Telecom Fraud Detection - Naive Bayes Classification
Telecom Fraud Detection - Naive Bayes ClassificationTelecom Fraud Detection - Naive Bayes Classification
Telecom Fraud Detection - Naive Bayes ClassificationMaruthi Nataraj K
 
Fraud in Telecoms
Fraud in TelecomsFraud in Telecoms
Fraud in TelecomsErick O'Connor
 
Frauds in telecom sector
Frauds in telecom sectorFrauds in telecom sector
Frauds in telecom sectorsksahu099
 
A data mining framework for fraud detection in telecom based on MapReduce (Pr...
A data mining framework for fraud detection in telecom based on MapReduce (Pr...A data mining framework for fraud detection in telecom based on MapReduce (Pr...
A data mining framework for fraud detection in telecom based on MapReduce (Pr...Mohammed Kharma
 
Types of telecom fraud
Types of telecom fraudTypes of telecom fraud
Types of telecom fraudOluwaseun ADEBAYO
 
Managing Big data using Hadoop Map Reduce in Telecom Domain
Managing Big data using Hadoop Map Reduce in Telecom DomainManaging Big data using Hadoop Map Reduce in Telecom Domain
Managing Big data using Hadoop Map Reduce in Telecom DomainAM Publications
 
Subscription fraud analytics using classification
Subscription fraud analytics using classificationSubscription fraud analytics using classification
Subscription fraud analytics using classificationSomdeep Sen
 
Cisco event 6 05 2014v3 wwt only
Cisco event 6 05 2014v3 wwt onlyCisco event 6 05 2014v3 wwt only
Cisco event 6 05 2014v3 wwt onlyArthur_Hansen
 
Hw09 Hadoop Based Data Mining Platform For The Telecom Industry
Hw09 Hadoop Based Data Mining Platform For The Telecom IndustryHw09 Hadoop Based Data Mining Platform For The Telecom Industry
Hw09 Hadoop Based Data Mining Platform For The Telecom IndustryCloudera, Inc.
 
Harnessing Big Data in Real-Time
Harnessing Big Data in Real-TimeHarnessing Big Data in Real-Time
Harnessing Big Data in Real-TimeDataWorks Summit
 
Hadoop Boosts Profits in Media and Telecom Industry
Hadoop Boosts Profits in Media and Telecom IndustryHadoop Boosts Profits in Media and Telecom Industry
Hadoop Boosts Profits in Media and Telecom IndustryDataWorks Summit
 
TM Forum Fraud Management Group Activities - Presented at TM Forum's Manageme...
TM Forum Fraud Management Group Activities - Presented at TM Forum's Manageme...TM Forum Fraud Management Group Activities - Presented at TM Forum's Manageme...
TM Forum Fraud Management Group Activities - Presented at TM Forum's Manageme...cVidya Networks
 
Big Data and Hadoop Ecosystem
Big Data and Hadoop EcosystemBig Data and Hadoop Ecosystem
Big Data and Hadoop EcosystemRajkumar Singh
 
Detecting fraud in cellular telephone networks
Detecting fraud in cellular telephone networksDetecting fraud in cellular telephone networks
Detecting fraud in cellular telephone networksJamal Meselmani
 
Fraud Management Industry Update Webinar by cVidya
Fraud Management Industry Update Webinar by cVidyaFraud Management Industry Update Webinar by cVidya
Fraud Management Industry Update Webinar by cVidyacVidya Networks
 
T22.Fujitsu World Tour India 2016-Business Intelligence and Data Analytics in...
T22.Fujitsu World Tour India 2016-Business Intelligence and Data Analytics in...T22.Fujitsu World Tour India 2016-Business Intelligence and Data Analytics in...
T22.Fujitsu World Tour India 2016-Business Intelligence and Data Analytics in...Fujitsu India
 
Application of Data Mining and Machine Learning techniques for Fraud Detectio...
Application of Data Mining and Machine Learning techniques for Fraud Detectio...Application of Data Mining and Machine Learning techniques for Fraud Detectio...
Application of Data Mining and Machine Learning techniques for Fraud Detectio...Christian Adom
 
Fraud Detection using Data Mining Project
Fraud Detection using Data Mining ProjectFraud Detection using Data Mining Project
Fraud Detection using Data Mining ProjectAlbert Kennedy III
 
Big Data CDR Analyzer - Kanthaka
Big Data CDR Analyzer - KanthakaBig Data CDR Analyzer - Kanthaka
Big Data CDR Analyzer - KanthakaPushpalanka Jayawardhana
 
Data Mining in telecommunication industry
Data Mining in telecommunication industryData Mining in telecommunication industry
Data Mining in telecommunication industrypragya ratan
 
Big data processing with apache spark
Big data processing with apache sparkBig data processing with apache spark
Big data processing with apache sparksarith divakar
 
Real time fraud detection at 1+M scale on hadoop stack
Real time fraud detection at 1+M scale on hadoop stackReal time fraud detection at 1+M scale on hadoop stack
Real time fraud detection at 1+M scale on hadoop stackDataWorks Summit/Hadoop Summit
 
Data mining in Telecommunications
Data mining in TelecommunicationsData mining in Telecommunications
Data mining in TelecommunicationsMohsin Nadaf
 
Architecting applications with Hadoop - Fraud Detection
Architecting applications with Hadoop - Fraud DetectionArchitecting applications with Hadoop - Fraud Detection
Architecting applications with Hadoop - Fraud Detectionhadooparchbook
 
Active Learning for Fraud Prevention
Active Learning for Fraud PreventionActive Learning for Fraud Prevention
Active Learning for Fraud PreventionDataWorks Summit/Hadoop Summit
 
Anomaly detection in deep learning
Anomaly detection in deep learningAnomaly detection in deep learning
Anomaly detection in deep learningAdam Gibson
 
Fraud Detection Architecture
Fraud Detection ArchitectureFraud Detection Architecture
Fraud Detection ArchitectureGwen (Chen) Shapira
 
Running Apache Spark & Apache Zeppelin in Production
Running Apache Spark & Apache Zeppelin in ProductionRunning Apache Spark & Apache Zeppelin in Production
Running Apache Spark & Apache Zeppelin in ProductionDataWorks Summit/Hadoop Summit
 
State of Security: Apache Spark & Apache Zeppelin
State of Security: Apache Spark & Apache ZeppelinState of Security: Apache Spark & Apache Zeppelin
State of Security: Apache Spark & Apache ZeppelinDataWorks Summit/Hadoop Summit
 

More Related Content

Viewers also liked

Cisco event 6 05 2014v3 wwt only
Cisco event 6 05 2014v3 wwt onlyCisco event 6 05 2014v3 wwt only
Cisco event 6 05 2014v3 wwt onlyArthur_Hansen
 
Hw09 Hadoop Based Data Mining Platform For The Telecom Industry
Hw09 Hadoop Based Data Mining Platform For The Telecom IndustryHw09 Hadoop Based Data Mining Platform For The Telecom Industry
Hw09 Hadoop Based Data Mining Platform For The Telecom IndustryCloudera, Inc.
 
Harnessing Big Data in Real-Time
Harnessing Big Data in Real-TimeHarnessing Big Data in Real-Time
Harnessing Big Data in Real-TimeDataWorks Summit
 
Hadoop Boosts Profits in Media and Telecom Industry
Hadoop Boosts Profits in Media and Telecom IndustryHadoop Boosts Profits in Media and Telecom Industry
Hadoop Boosts Profits in Media and Telecom IndustryDataWorks Summit
 
TM Forum Fraud Management Group Activities - Presented at TM Forum's Manageme...
TM Forum Fraud Management Group Activities - Presented at TM Forum's Manageme...TM Forum Fraud Management Group Activities - Presented at TM Forum's Manageme...
TM Forum Fraud Management Group Activities - Presented at TM Forum's Manageme...cVidya Networks
 
Big Data and Hadoop Ecosystem
Big Data and Hadoop EcosystemBig Data and Hadoop Ecosystem
Big Data and Hadoop EcosystemRajkumar Singh
 
Detecting fraud in cellular telephone networks
Detecting fraud in cellular telephone networksDetecting fraud in cellular telephone networks
Detecting fraud in cellular telephone networksJamal Meselmani
 
Fraud Management Industry Update Webinar by cVidya
Fraud Management Industry Update Webinar by cVidyaFraud Management Industry Update Webinar by cVidya
Fraud Management Industry Update Webinar by cVidyacVidya Networks
 
T22.Fujitsu World Tour India 2016-Business Intelligence and Data Analytics in...
T22.Fujitsu World Tour India 2016-Business Intelligence and Data Analytics in...T22.Fujitsu World Tour India 2016-Business Intelligence and Data Analytics in...
T22.Fujitsu World Tour India 2016-Business Intelligence and Data Analytics in...Fujitsu India
 
Application of Data Mining and Machine Learning techniques for Fraud Detectio...
Application of Data Mining and Machine Learning techniques for Fraud Detectio...Application of Data Mining and Machine Learning techniques for Fraud Detectio...
Application of Data Mining and Machine Learning techniques for Fraud Detectio...Christian Adom
 
Fraud Detection using Data Mining Project
Fraud Detection using Data Mining ProjectFraud Detection using Data Mining Project
Fraud Detection using Data Mining ProjectAlbert Kennedy III
 
Data Mining in telecommunication industry
Data Mining in telecommunication industryData Mining in telecommunication industry
Data Mining in telecommunication industrypragya ratan
 
Big data processing with apache spark
Big data processing with apache sparkBig data processing with apache spark
Big data processing with apache sparksarith divakar
 
Real time fraud detection at 1+M scale on hadoop stack
Real time fraud detection at 1+M scale on hadoop stackReal time fraud detection at 1+M scale on hadoop stack
Real time fraud detection at 1+M scale on hadoop stackDataWorks Summit/Hadoop Summit
 
Data mining in Telecommunications
Data mining in TelecommunicationsData mining in Telecommunications
Data mining in TelecommunicationsMohsin Nadaf
 
Architecting applications with Hadoop - Fraud Detection
Architecting applications with Hadoop - Fraud DetectionArchitecting applications with Hadoop - Fraud Detection
Architecting applications with Hadoop - Fraud Detectionhadooparchbook
 
Anomaly detection in deep learning
Anomaly detection in deep learningAnomaly detection in deep learning
Anomaly detection in deep learningAdam Gibson
 

Viewers also liked (20)

Cisco event 6 05 2014v3 wwt only
Cisco event 6 05 2014v3 wwt onlyCisco event 6 05 2014v3 wwt only
Cisco event 6 05 2014v3 wwt only
 
Hw09 Hadoop Based Data Mining Platform For The Telecom Industry
Hw09 Hadoop Based Data Mining Platform For The Telecom IndustryHw09 Hadoop Based Data Mining Platform For The Telecom Industry
Hw09 Hadoop Based Data Mining Platform For The Telecom Industry
 
Harnessing Big Data in Real-Time
Harnessing Big Data in Real-TimeHarnessing Big Data in Real-Time
Harnessing Big Data in Real-Time
 
Hadoop Boosts Profits in Media and Telecom Industry
Hadoop Boosts Profits in Media and Telecom IndustryHadoop Boosts Profits in Media and Telecom Industry
Hadoop Boosts Profits in Media and Telecom Industry
 
TM Forum Fraud Management Group Activities - Presented at TM Forum's Manageme...
TM Forum Fraud Management Group Activities - Presented at TM Forum's Manageme...TM Forum Fraud Management Group Activities - Presented at TM Forum's Manageme...
TM Forum Fraud Management Group Activities - Presented at TM Forum's Manageme...
 
Big Data and Hadoop Ecosystem
Big Data and Hadoop EcosystemBig Data and Hadoop Ecosystem
Big Data and Hadoop Ecosystem
 
Detecting fraud in cellular telephone networks
Detecting fraud in cellular telephone networksDetecting fraud in cellular telephone networks
Detecting fraud in cellular telephone networks
 
Fraud Management Industry Update Webinar by cVidya
Fraud Management Industry Update Webinar by cVidyaFraud Management Industry Update Webinar by cVidya
Fraud Management Industry Update Webinar by cVidya
 
T22.Fujitsu World Tour India 2016-Business Intelligence and Data Analytics in...
T22.Fujitsu World Tour India 2016-Business Intelligence and Data Analytics in...T22.Fujitsu World Tour India 2016-Business Intelligence and Data Analytics in...
T22.Fujitsu World Tour India 2016-Business Intelligence and Data Analytics in...
 
Application of Data Mining and Machine Learning techniques for Fraud Detectio...
Application of Data Mining and Machine Learning techniques for Fraud Detectio...Application of Data Mining and Machine Learning techniques for Fraud Detectio...
Application of Data Mining and Machine Learning techniques for Fraud Detectio...
 
Fraud Detection using Data Mining Project
Fraud Detection using Data Mining ProjectFraud Detection using Data Mining Project
Fraud Detection using Data Mining Project
 
Big Data CDR Analyzer - Kanthaka
Big Data CDR Analyzer - KanthakaBig Data CDR Analyzer - Kanthaka
Big Data CDR Analyzer - Kanthaka
 
Data Mining in telecommunication industry
Data Mining in telecommunication industryData Mining in telecommunication industry
Data Mining in telecommunication industry
 
Big data processing with apache spark
Big data processing with apache sparkBig data processing with apache spark
Big data processing with apache spark
 
Real time fraud detection at 1+M scale on hadoop stack
Real time fraud detection at 1+M scale on hadoop stackReal time fraud detection at 1+M scale on hadoop stack
Real time fraud detection at 1+M scale on hadoop stack
 
Data mining in Telecommunications
Data mining in TelecommunicationsData mining in Telecommunications
Data mining in Telecommunications
 
Architecting applications with Hadoop - Fraud Detection
Architecting applications with Hadoop - Fraud DetectionArchitecting applications with Hadoop - Fraud Detection
Architecting applications with Hadoop - Fraud Detection
 
Active Learning for Fraud Prevention
Active Learning for Fraud PreventionActive Learning for Fraud Prevention
Active Learning for Fraud Prevention
 
Anomaly detection in deep learning
Anomaly detection in deep learningAnomaly detection in deep learning
Anomaly detection in deep learning
 
Fraud Detection Architecture
Fraud Detection ArchitectureFraud Detection Architecture
Fraud Detection Architecture
 

More from DataWorks Summit/Hadoop Summit

Unleashing the Power of Apache Atlas with Apache Ranger
Unleashing the Power of Apache Atlas with Apache RangerUnleashing the Power of Apache Atlas with Apache Ranger
Unleashing the Power of Apache Atlas with Apache RangerDataWorks Summit/Hadoop Summit
 
Enabling Digital Diagnostics with a Data Science Platform
Enabling Digital Diagnostics with a Data Science PlatformEnabling Digital Diagnostics with a Data Science Platform
Enabling Digital Diagnostics with a Data Science PlatformDataWorks Summit/Hadoop Summit
 
Double Your Hadoop Performance with Hortonworks SmartSense
Double Your Hadoop Performance with Hortonworks SmartSenseDouble Your Hadoop Performance with Hortonworks SmartSense
Double Your Hadoop Performance with Hortonworks SmartSenseDataWorks Summit/Hadoop Summit
 
Building a Large-Scale, Adaptive Recommendation Engine with Apache Flink and ...
Building a Large-Scale, Adaptive Recommendation Engine with Apache Flink and ...Building a Large-Scale, Adaptive Recommendation Engine with Apache Flink and ...
Building a Large-Scale, Adaptive Recommendation Engine with Apache Flink and ...DataWorks Summit/Hadoop Summit
 
Real-Time Anomaly Detection using LSTM Auto-Encoders with Deep Learning4J on ...
Real-Time Anomaly Detection using LSTM Auto-Encoders with Deep Learning4J on ...Real-Time Anomaly Detection using LSTM Auto-Encoders with Deep Learning4J on ...
Real-Time Anomaly Detection using LSTM Auto-Encoders with Deep Learning4J on ...DataWorks Summit/Hadoop Summit
 
Mool - Automated Log Analysis using Data Science and ML
Mool - Automated Log Analysis using Data Science and MLMool - Automated Log Analysis using Data Science and ML
Mool - Automated Log Analysis using Data Science and MLDataWorks Summit/Hadoop Summit
 
The Challenge of Driving Business Value from the Analytics of Things (AOT)
The Challenge of Driving Business Value from the Analytics of Things (AOT)The Challenge of Driving Business Value from the Analytics of Things (AOT)
The Challenge of Driving Business Value from the Analytics of Things (AOT)DataWorks Summit/Hadoop Summit
 
From Regulatory Process Verification to Predictive Maintenance and Beyond wit...
From Regulatory Process Verification to Predictive Maintenance and Beyond wit...From Regulatory Process Verification to Predictive Maintenance and Beyond wit...
From Regulatory Process Verification to Predictive Maintenance and Beyond wit...DataWorks Summit/Hadoop Summit
 

More from DataWorks Summit/Hadoop Summit (20)

Running Apache Spark & Apache Zeppelin in Production
Running Apache Spark & Apache Zeppelin in ProductionRunning Apache Spark & Apache Zeppelin in Production
Running Apache Spark & Apache Zeppelin in Production
 
State of Security: Apache Spark & Apache Zeppelin
State of Security: Apache Spark & Apache ZeppelinState of Security: Apache Spark & Apache Zeppelin
State of Security: Apache Spark & Apache Zeppelin
 
Unleashing the Power of Apache Atlas with Apache Ranger
Unleashing the Power of Apache Atlas with Apache RangerUnleashing the Power of Apache Atlas with Apache Ranger
Unleashing the Power of Apache Atlas with Apache Ranger
 
Enabling Digital Diagnostics with a Data Science Platform
Enabling Digital Diagnostics with a Data Science PlatformEnabling Digital Diagnostics with a Data Science Platform
Enabling Digital Diagnostics with a Data Science Platform
 
Revolutionize Text Mining with Spark and Zeppelin
Revolutionize Text Mining with Spark and ZeppelinRevolutionize Text Mining with Spark and Zeppelin
Revolutionize Text Mining with Spark and Zeppelin
 
Double Your Hadoop Performance with Hortonworks SmartSense
Double Your Hadoop Performance with Hortonworks SmartSenseDouble Your Hadoop Performance with Hortonworks SmartSense
Double Your Hadoop Performance with Hortonworks SmartSense
 
Hadoop Crash Course
Hadoop Crash CourseHadoop Crash Course
Hadoop Crash Course
 
Data Science Crash Course
Data Science Crash CourseData Science Crash Course
Data Science Crash Course
 
Apache Spark Crash Course
Apache Spark Crash CourseApache Spark Crash Course
Apache Spark Crash Course
 
Dataflow with Apache NiFi
Dataflow with Apache NiFiDataflow with Apache NiFi
Dataflow with Apache NiFi
 
Schema Registry - Set you Data Free
Schema Registry - Set you Data FreeSchema Registry - Set you Data Free
Schema Registry - Set you Data Free
 
Building a Large-Scale, Adaptive Recommendation Engine with Apache Flink and ...
Building a Large-Scale, Adaptive Recommendation Engine with Apache Flink and ...Building a Large-Scale, Adaptive Recommendation Engine with Apache Flink and ...
Building a Large-Scale, Adaptive Recommendation Engine with Apache Flink and ...
 
Real-Time Anomaly Detection using LSTM Auto-Encoders with Deep Learning4J on ...
Real-Time Anomaly Detection using LSTM Auto-Encoders with Deep Learning4J on ...Real-Time Anomaly Detection using LSTM Auto-Encoders with Deep Learning4J on ...
Real-Time Anomaly Detection using LSTM Auto-Encoders with Deep Learning4J on ...
 
Mool - Automated Log Analysis using Data Science and ML
Mool - Automated Log Analysis using Data Science and MLMool - Automated Log Analysis using Data Science and ML
Mool - Automated Log Analysis using Data Science and ML
 
How Hadoop Makes the Natixis Pack More Efficient
How Hadoop Makes the Natixis Pack More Efficient How Hadoop Makes the Natixis Pack More Efficient
How Hadoop Makes the Natixis Pack More Efficient
 
HBase in Practice
HBase in Practice HBase in Practice
HBase in Practice
 
The Challenge of Driving Business Value from the Analytics of Things (AOT)
The Challenge of Driving Business Value from the Analytics of Things (AOT)The Challenge of Driving Business Value from the Analytics of Things (AOT)
The Challenge of Driving Business Value from the Analytics of Things (AOT)
 
Breaking the 1 Million OPS/SEC Barrier in HOPS Hadoop
Breaking the 1 Million OPS/SEC Barrier in HOPS HadoopBreaking the 1 Million OPS/SEC Barrier in HOPS Hadoop
Breaking the 1 Million OPS/SEC Barrier in HOPS Hadoop
 
From Regulatory Process Verification to Predictive Maintenance and Beyond wit...
From Regulatory Process Verification to Predictive Maintenance and Beyond wit...From Regulatory Process Verification to Predictive Maintenance and Beyond wit...
From Regulatory Process Verification to Predictive Maintenance and Beyond wit...
 
Backup and Disaster Recovery in Hadoop
Backup and Disaster Recovery in Hadoop Backup and Disaster Recovery in Hadoop
Backup and Disaster Recovery in Hadoop
 

Recently uploaded

Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherRemote DBA Services
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingEdi Saputra
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024The Digital Insurer
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsTop 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsRoshan Dwivedi
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUK Journal
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdflior mazor
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MIND CTI
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024SynarionITSolutions
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyKhushali Kathiriya
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodJuan lago vázquez
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...apidays
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 

Recently uploaded (20)

Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsTop 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 

Analyze Telecom Fraud at Hadoop Scale

  • 1. Page1 Diyotta, Inc. All Rights Reserved Analyze Telecom Fraud at Hadoop Scale 29th June 2016 Sanjay Vyas Co-founder & COO, Diyotta
  • 2. Page2 Diyotta, Inc. All Rights Reserved Telecom-Relevant Glossary • CDR – Call Detail Record • Any phone call generates a CDR • IPDR – IP Detail Record • Any internet browsing activity generates an IPDR • IVR – Interactive Voice Response • Automated telephone response system usually for typical queries
  • 3. Page3 Diyotta, Inc. All Rights Reserved Fraud in Telecom Global Mobile Industry $2.2T Revenue Losses due to Fraud $46.3B Reference: http://www.argyledata.com/files/Telecom-Fraud-101-eBook.pdf
  • 4. Page4 Diyotta, Inc. All Rights Reserved A Day In Life of Telecom Data (Fraud Use-Case) Source Systems Ingestion Pipelines Target Data Sets Fraud Analysis Minataur
  • 5. Page5 Diyotta, Inc. All Rights Reserved Legacy State for Fraud Analytics Monolithic Script Based file Ingestion Minataur Fraud Application • Limited capacity for processing • Cannot Scale for Volume/Velocity • Cannot do on-demand real-time Analytics
  • 6. Page6 Diyotta, Inc. All Rights Reserved Business Challenges • Business not able to • analyze IPDR Data due to the sheer volume • ingest streaming data from IVR systems for fraud analysis • Perform on-demand real-time fraud analytics for deeper insights
  • 7. Page7 Diyotta, Inc. All Rights Reserved IT Challenges with Hadoop Adoption • Skill Gap • Limited in-house expertise on evolving technologies and keep up the pace • Enterprise Standards • Manual coding suffers from quality/maintenance issues and is inconsistent • Scalability across data and technology • Real-time, social media, multi-processing engines • Data Lineage
  • 8. Page8 Diyotta, Inc. All Rights Reserved Solution Components
  • 9. Page9 Diyotta, Inc. All Rights Reserved Solution Architecture for Fraud Use-Case
  • 10. Page10 Diyotta, Inc. All Rights Reserved Diyotta Modern Data Integration Platform
  • 11. Page11 Diyotta, Inc. All Rights Reserved Page11 Diyotta, Inc. All Rights Reserved Diyotta Architecture
  • 12. Page12 Diyotta, Inc. All Rights Reserved Page12 Diyotta, Inc. All Rights Reserved Customer Success Story
  • 13. Page13 Diyotta, Inc. All Rights Reserved Q&A Sanjay Vyas Email: sanjay@diyotta.com Web: http://www.diyotta.com Trial: www.Diyotta.com/try