Bigdata Hadoop project payment gateway domain
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Live Hadoop project in payment gateway domain for people seeking real time work experience in bigdata domain. Email: Onlinetraining2011@gmail.com , Skypeid: onlinetraining2011 My profile: www.linkedin.com/pub/kamal-a/65/2b2/2b5
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BIGDATA & HADOOP PROJECT
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- 1. Hadoop Live Project Payment Gateway Data Analytics
- 2. Project Overview • Domain: Payment Gateway , Finance (Visa , MasterCard, Amex). • Clients: 2000+ (Banks and Credit unions). • Duration: Phase1 4 modules ( 2 Years project). • Cost/Revenue: 50 Million USD/Year.( 30% growth yearly) • Data: 50-200 GB/day. 5 Tb /Month. • Prod Cluster: 50-70 Nodes running on Dell/HP Servers.
- 3. Project Execution Details • Agile project scope details – User stories , Scrum cycles. • 9 use cases covered in Phase 1. • Technology Stack details for each modules. • Implemented on Linux VM based Apache Hadoop cluster. • Recorded sessions shared via google drive. • Participants will receive Source code, DDL (Database scripts), Execution scripts, Design docs for each modules.
- 4. Phase 1: Data Transformation /Staging • Analyze the payment data xmls and json form.(from FTP, MQ jobs). • Parse xml data using choice of technology(DOM , JAXB etc). • Load data in RDBMS tables in incremental mode. (Oracle / MYSQL RAC cluster). • Schedule the preprocessing job to run for every 30 min run ( Java scheduler Quartz- source 1 every 15 min, Crontab - source 2 : every 1 hour). • Add multithreading / parallel process model. ( To handle large volumes ).
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- 6. Phase 3: Data Analytics System • Design/Execute Apache Hive / Impala /Pig analytic queries and store output data in result table. • Execute Hive joins for complex queries involving multiple data sets. • Write UDF for data normalization. • Use Apache Sqoop scripts to export data from Hive to RDBMS.
- 7. Phase 4: Data Visualization • Visualize output data in RDBMS table using open source( Jfree Chart/GoogleCharts)/commercial tools like Tableau/ Qlikview. • Create report using Bar graph to show trends for payment gateway issues across different sources. • Create report using Pie chart for payment gateway issues distribution across multiple RCAs( issue types). • Use Hiveserver2 to connect and generate live analytic results.
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