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Technologies and Governance Models 
for e-tailing and use of Big Data
Measurement Units for Big Data 
• 1 Bit = A binary digit 0 or 1 
• 8 Bit = 1 Byte 
• 1000 Bytes = 1 Kilo Byte 1 Kb 
• 1000 Kb = 1 Mega Byte 1 Mb 
• 1000 Mb = 1 Giga Byte 1 Gb 
• 1000 Gb = 1 Terra Byte 1 Tb 
• 1000 Tb = 1 Peta Byte 1 Pb 
• 1000 Pb = 1 Exa Byte 1 Eb 
• 1000 Eb = 1 Zetta Byte 1 Zb 
• 1000 Zb = 1 Yotta Byte 1 Yb 
• 1000 Yb = 1 Bronto Byte 1 Bb 
• 1000 Bb = 1 Geo Byte 1 Geb
E-tailing and Big Data 
• Data Data Analysis 
• Big Data Analytics 
Big Data Analytics 
Volume 
Variety 
Velocity
Data Sources 
• Traditional Sources 
• Web Sources 
• Social Media Sources
Data Contributions on 
• Competitors 
• Product cost 
• Price 
• Stock level 
• Stocking cost 
• Sales
Use of Big Data Analytics 
• Personalization 
• Improving Customer Experience 
• Pricing 
• Predictive Analytics
Technology Contributions 
• ETL –Extract, Transform, Load 
• Retention Science 
• Recommendation Engines 
• Marketing Automation 
• SaaS Models and Data Services 
• Solutions on Hadoop Platform
Technology Platforms and Applications 
for Big Data Processing 
• SQL on Hadoop 
• Db Taps 
• Hive and Presto (Face Book) 
• Qubole Platforms

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E tailing and big datas

  • 1. Technologies and Governance Models for e-tailing and use of Big Data
  • 2. Measurement Units for Big Data • 1 Bit = A binary digit 0 or 1 • 8 Bit = 1 Byte • 1000 Bytes = 1 Kilo Byte 1 Kb • 1000 Kb = 1 Mega Byte 1 Mb • 1000 Mb = 1 Giga Byte 1 Gb • 1000 Gb = 1 Terra Byte 1 Tb • 1000 Tb = 1 Peta Byte 1 Pb • 1000 Pb = 1 Exa Byte 1 Eb • 1000 Eb = 1 Zetta Byte 1 Zb • 1000 Zb = 1 Yotta Byte 1 Yb • 1000 Yb = 1 Bronto Byte 1 Bb • 1000 Bb = 1 Geo Byte 1 Geb
  • 3. E-tailing and Big Data • Data Data Analysis • Big Data Analytics Big Data Analytics Volume Variety Velocity
  • 4. Data Sources • Traditional Sources • Web Sources • Social Media Sources
  • 5. Data Contributions on • Competitors • Product cost • Price • Stock level • Stocking cost • Sales
  • 6. Use of Big Data Analytics • Personalization • Improving Customer Experience • Pricing • Predictive Analytics
  • 7. Technology Contributions • ETL –Extract, Transform, Load • Retention Science • Recommendation Engines • Marketing Automation • SaaS Models and Data Services • Solutions on Hadoop Platform
  • 8. Technology Platforms and Applications for Big Data Processing • SQL on Hadoop • Db Taps • Hive and Presto (Face Book) • Qubole Platforms