Big Data Telecom
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Transcript of Big Data Telecom
Big Data -‐‑ Telecom
Overwhelmed by Data ?
Big Data
Sensor – Machine based data
Clik Stream Data
Mobile Information
Geo-‐‑localization
Data
Sentiment Data
80% of Telecom Data will land on Hadoop
• Hadoop is like a data warehouse but can store a huge amount of data, different kinds of data and perform more flexible analyses
• Hadoop is open source and run on industry standard hardware : It’s ½ more economical than conventional data warehouse
• Hadoop provides more cost effective Storage, Processing & Analysis
• Hadoop delivers a foundation for profitable growth : Gain value from all your data by asking bigger questions
Hadoop Architecture
Hadoop : The Key Of A Global Architecture
Big Data Architecture
From Data Warehouse to Hadoop
The Challenge • Many Data-warehouses
are out of capacities
• Running out of budget before running out relevant data
• Older data archived in dark with no access
Data Warehouse
The Solution • Hadoop for data storage
& data processing : Parse, clean, apply structure & transform
• Free framework and data warehouse
• Retain all data for Analysis
Data Warehouse
Hadoop
Operational (44%)
Analytics (11%)
ETL Processing (44%)
Operational (50%) Analytics (50%)
Storage & Processing
Cost is 1/10
Disrutive innovation on Big Data Traditional Data base
Data Warehouse
MPP Analytics
No SQL Data Base Hadoop
Structured Data Types Any types including unstructured
Pre-‐‑defined, fixed, required on write
Schema Required on read Store First.. Ask question
later
No or limited data processing Processing Processing coupled with data Parallel processing / Scale
out
Enterprise grad Mission critical
Physical Infrastructure
Commodity is an option Much cheaper option
How Can I Use Hadoop ?
Extraction, Transformation
& Storage Risk Modeling Fraud
Detection
Customer Churn Analysis
Ads Targeting Point of Scale Transactional Analysis
Quality Search Social Analysis Real Time Analytics
Want More… [email protected]