2. Agenda
• You and big data, closer than you think!
• What is it? The 4 V’s
• How did we get here? Evolution
• What are the components?
• Who are the leaders?
• Trends?
3. You and Big Data, closer than you think!
Tool usage/ Sites & Apps
Activities on these
Time spent doing them
Data created (Volume and context)
▫ Work
Email / IM
Collateral / Artefact creation
Meetings
Other
▫ Non-work
Social
Mobile – Chat, Video
Other (Gadgets etc.,)
• What do you see?
4. 4 V’s of Big Data
Data
Variety
Volume
Velocity
Veracity
5. Evolution
• Computing Technologies -
▫ Storage (Punch cards, Floppies, Disks, SSD …)
▫ Processor speed (Moore’s law ++)
▫ Network (Wired / wireless / Mobile)
▫ Data Center, Cloud (Private / Public / Hybrid)
• Software
▫ Custom written
▫ Packages
▫ Web-based
▫ Apps
• Social / Local / Mobile Phenomenon!
6. Components
Data storage and
management
• Storage and Resiliency
• Process management
• Processing
• Map / Reduce, Spark
Data processing and
intelligence
• Data science
• Analytics
• R, Python, Scala
Data visualization
• Presentation
• Tableau, Google, HTML
8. Trends
• Hadoop is going mainstream in enterprises
• Cloud-based applications are growing
phenomenally (PaaS, SaaS, XaaS)
• IOT + Cloud + Big data – coming together
10. During the time you spent here …
What Happened? How much (Approx)?
New Mobile Web users added 20+ K
New posts on Facebook 40+ M
Searches on Google 240+ M
Video Hours loaded to Youtube 18+ K Hours
Downloads from App Store 4+ M
Money spent online (Shopping) in
USD 22+ M $
Number of tweets on Twitter 21+ M
Total data volume added per day (2012) – 2.5 Quintillion Bytes (2.3 Trillion Gigabytes!)
