1. Big Data Analytics Bigger & Better Opportunity for LIS Professionals Invited presentation prepared for NACLIN 2015 25 th November 2015 Ananda T. Byrappa Global Leader, Knowledge Centre Six Sigma Black Belt GE John F Welch Technology Center Bangalore 560066, INDIA ananda.byrappa@ge.com

2. Presentation Plan Big Data World– An Introduction Big Data & LIS Profession Big Data and LIS Opportunity – A case study 1 2 3

3. The definition of Big Data is a moving target "Big data is a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture, curation, storage, search, sharing, transfer, analysis, and visualization." Cited from WikipediaWikipedia "Big data is the term increasingly used to describe the process of applying serious computing power – the latest in machine learning and artificial intelligence – to seriously massive and often highly complex sets of information." Cited from 4/2013 the Microsoft Enterprise Insight Blog4/2013 the Microsoft Enterprise Insight Blog Definition of Big Data

4. Big Data World… File Sizes Internet Speed File transfers Understanding Big Data Concept

5. LIS & Big Data World Volume, Velocity, Variety & Veracity Big Data Harvesting, Metada, Indexing… Application of LIS Skills Customized, context specific… Recreation of Data sets Decision based on complete data, Not on samples! Enabling researchers and decision makers

6. Big Data & LIS – A case study

7. List of Top 100 Keywords Sl No.Keywords Frequency of Occurance 1 children3855 2 obesity3655 3 hypertension3638 4 quality of life3525 5 magnetic resonance imaging3277 6 depression3233 7 apoptosis3227 8 epidemiology3017 9 breast cancer2729 10 laparoscopy2018 11 brain1995 12 cancer1990 Cancer 1990 Breast cancer1860 Prostate cancer1411 Colorectal cancer819 Lung cancer798 breast cancer582 Ovarian cancer555 Gastric cancer549 Cervical cancer507 prostate cancer405 Bladder cancer323 Big Data & Tech Trends… 1 4 3 2

8. Acknowledgements: http://www.ge.com http://www.ibm.com

9. Qauestions? Thank You!