Presentation for the first Bucharest Big data meetup
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RT Analytics provides real-time analytics and insights for their mobile payment and SMS aggregation businesses in Romania. They use a data streaming platform with Storm for scalable stream processing, RabbitMQ for queuing transaction data, and Redis for fast in-memory storage. This allows them to aggregate transaction details in real-time by merchant, status, error, currency and time interval. The setup provides operational insights, transaction monitoring, and business dashboards to gain better understanding of queries, insights, and predictions to improve their services.
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Felix Crisan / Co-Founder & CTO NETOPIA
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Presentation for the first Bucharest Big data meetup
- 1. RT Analytics with Data Streaming Felix Crisan / Co-Founder & CTO NETOPIA [mobilPay, web2sms, kartela.ro]
- 2. About Us - Largest SMS Aggregator in RO (+100MM/year) - Largest mobile payments processor in RO (own wallet and SMS) - Second largest online card processing gateway in RO (+2M trx / year)
- 5. What do we use it for - Operational Insights - Transaction Monitoring - Health Checks - Business Dashboards (internal for now, GA later this year)
- 6. Storm one-pager - Streaming processor, Apache Incubator (http://storm.incubator.apache.org/) - Zookeeper/Nimbus(+ZeroMQ/Netty) - Scalable / No Data Loss (guaranteed) - Fault - Tolerant - Topologies (~ MR job) / Streams / Spouts (data sources) / Bolts (data processors)
- 7. Redis one-pager - In-Memory (disk persistent) KV Store (http: //redis.io) - Values can be complex types (strings, hashes, lists, sets, sorted sets) - Single-threaded (!) but high-performance (500k req/s) - Atomic operations
- 9. Our Data Streaming setup
- 10. What Happens - Transaction details are put in a RabbitMQ queue (state, errors, values etc) - A Storm Topology reads the details and aggregates - per Merchant / Service - per Status / Error / Currency - per time interval (5min, H, D, M)
- 11. Why did we choose this setup?
- 14. Better insights
- 15. Clear(er) views
- 17. KYC
- 18. Summary