This presentation explains about Introduction of BIG DATA with HADOOP.

1. Disclaimer: Some of the Images and content have been taken from multiple online sources and this presentation is intended
only for knowledge sharing but not for any commercial business intention

3. HIGH
VOLUME
HIGH
VELOCITY
HIGH
VARIETY

5. Source: http://www.emc.com/leadership/digital-universe/iview/index.htm

7. Bing ingests > 7 petabyte a month
The Twitter community generates over 1
terabyte of tweets every day
Cisco predicts that by 2013 annual
internet traffic flowing will reach 667
exabytes

8. Source: http://www.emc.com/collateral/about/news/idc-emc-digital-universe-2011-infographic.pdf

9. Source: http://www.emc.com/collateral/about/news/idc-emc-digital-universe-2011-infographic.pdf

15. Source: http://cloudtimes.org/2013/06/25/hadoop-as-a-service-market-growing/

16. How does an Elephant Sneak up on you?

17. Chukwa Sqoop Zookeeper Pig
HBase Avno Mahout Flume
WhirrMap Reduce Engine
Hama
Hive
Hadoop Distributed File System
Hadoop Common

18. Source: http://indoos.wordpress.com/2010/08/16/hadoop-ecosystem-world-map/

21. • Distribute data initially
– Let processors / nodes work on local data
– Minimize data transfer over network
– Replicate data multiple times for increased availability
• Write applications at a high level
– Programmers should not have to worry about network programming, temporal
dependencies, low level infrastructure, etc
• Minimize talking between nodes (share-nothing)
HADOOP: 30,000 FEETVIEW

22. BIGDATA&ANALYTICS
Case Studies

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