1. Big Data Use Cases
Releasing the Power of Data to Drive Business Value
3/20/2013
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2. • Russ Lankenau
• Solutions Architect at MapR (Chicago)
• http://github.com/rlankenau
• @RussLankenau
• rlankenau@maprtech.com
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3. Mobile
Virtualization B2B
Social
Application Service Provider
Media
Cloud
Web 2.0
Client/Server
Software-as-a-Service
Service Bureau
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4. 4

5. Business Value
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6. Business Value
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7. Big Data is not new!
but the tools are.
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8. Ship the Function to 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
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9. Big Data Ecosystem
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10. Use Case
 Company
 Data Source(s)
 Technique(s)
 Business Value
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11. Proactive Monitoring
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12. Data Sources
 Server Telemetry
 Monitoring Logs
 Network Flow
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13. Techniques
 Pattern Recognition
 Proactive Monitoring
 Early Alert Delivery
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14. Business Value
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15. Telecommunications Giant
ETL Offload
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16. Telecommunications
Data Sources
 Customer Records
 Contract Data
 Purchase Orders
 Call Center
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17. Telecommunications
Techniques
ETL Analytics
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18. Telecommunications
Techniques
+
ETL (Hadoop) Analytics (Teradata)
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19. Telecommunications
Business Value
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20. Waste & Recycling Leader
Idle Alerts
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21. Data Sources
 Truck Geolocation Data
– 20,000 trucks
– 5 sec interval
 Landfill Geographic Boundaries
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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
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23. Business Value
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24. Healthcare Analytics
Data Lake
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25. Data Sources
 Claims
 Payments
 Patient Records
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26. Techniques
Standard
Analyst Tools
Billing Hive
Data Lake
Claims (Hadoop)
Pig
Payment Ad-Hoc
Records Analysis
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27. Business Value
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28. Machine Learning
Search Relevance
DNA Matching
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29. Data Sources
 Birth, Death, Census, Military, I
mmigration records
 Search Behavior Activity
 DNA SNP (snips)
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30. Techniques
 Record Linking
 Search Relevance
 Clickstream Behavior
 Security Forensics
 DNA Matching
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31. Business Value
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32. Similar Characteristics
 Lots of Data
 Structured, Semi-Structured, Unstructured
 Varied Systems Interoperating
– Hadoop, Storm, Solr, MPP, Visualizations
 Increase Revenue
 Decrease Costs
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33. Thank You
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