Big Data Analytics Bigger Better Opportunity for LIS

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

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

Definition of Big Data "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 Wikipedia "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 Blog The definition of Big Data is a moving target

Big Data World… Understanding Big Data Concept • File Sizes • Internet Speed • File transfers

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

Big Data & LIS – A case study

Big Data & Tech Trends… List of Top 100 Keywords Sl No. 1 2 3 4 5 6 7 8 9 10 11 Keywords children obesity hypertension quality of life magnetic resonance imaging depression apoptosis epidemiology breast cancer laparoscopy brain 12 cancer 2 Frequency of Occurance 3855 3638 3525 1 3277 3233 3227 3017 2729 2018 1995 1990 Cancer 1990 Breast cancer 1860 Prostate cancer 1411 Colorectal cancer 819 Lung cancer 798 breast cancer 582 Ovarian cancer 555 Gastric cancer 549 Cervical cancer 507 prostate cancer 405 Bladder cancer 323 3 4

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

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