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Big data use cases
- 1. Big Data UseCases Releasing the Power of Data to Drive Business Value 3/20/2013 1
- 2. • Russ Lankenau • Solutions Architect at MapR (Chicago) • http://github.com/rlankenau • @RussLankenau • rlankenau@maprtech.com 2
- 3. Mobile Virtualization B2B Social Application Service Provider Media Cloud Web 2.0 Client/Server Software-as-a-Service Service Bureau 3
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- 7. Big Data isnot new! but the tools are. 7
- 8. Ship the Functionto the Data Traditional Architecture Distributed Computing function function function function RDBMS data data data function function function data data data data data data data data data data data data function function function data data data data data data data data data function function function SAN/NAS data data data 8
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- 10. Use Case Company Data Source(s) Technique(s) Business Value 10
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- 12. Data Sources ServerTelemetry Monitoring Logs Network Flow 12
- 13. Techniques Pattern Recognition Proactive Monitoring Early Alert Delivery 13
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- 15. Telecommunications Giant ETL Offload 15
- 16. Telecommunications Data Sources Customer Records Contract Data Purchase Orders Call Center 16
- 17. Telecommunications Techniques ETL Analytics 17
- 18. Telecommunications Techniques + ETL (Hadoop) Analytics (Teradata) 18
- 19. Telecommunications Business Value 19
- 20. Waste & RecyclingLeader Idle Alerts 20
- 21. Data Sources Truck Geolocation Data – 20,000 trucks – 5 sec interval Landfill Geographic Boundaries 21
- 22. Techniques Realtime Stream Computation Immediate (Storm) Alerts Truck Batch Computation Tax Reduction Hadoop Geolocation (MapReduce) Storage Reporting Data Shortest Path Route Graph Algorithm Optimization 22
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- 24. Healthcare Analytics Data Lake 24
- 25. Data Sources Claims Payments Patient Records 25
- 26. Techniques Standard Analyst Tools Billing Hive Data Lake Claims (Hadoop) Pig Payment Ad-Hoc Records Analysis 26
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- 28. Machine Learning Search Relevance DNA Matching 28
- 29. Data Sources Birth,Death, Census, Military, I mmigration records Search Behavior Activity DNA SNP (snips) 29
- 30. Techniques Record Linking Search Relevance Clickstream Behavior Security Forensics DNA Matching 30
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- 32. Similar Characteristics Lotsof Data Structured, Semi-Structured, Unstructured Varied Systems Interoperating – Hadoop, Storm, Solr, MPP, Visualizations Increase Revenue Decrease Costs 32
- 33. Thank You 33