Implementation challenges in Big Data - Dr. Nilesh Karnik
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In todays competitive environment companies are faced with different types of challenges. Implementation of Big Data is one of them. Dr. Nilesh Karnik takes us through some of them.
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Implementation challenges in Big Data - Dr. Nilesh Karnik
- 1. Aureus Claims Solution Implementation Challenges in Big Data Footer Option 2 Analytics • Dr. Nilesh N. Karnik Copyright 2013 RESTRICTED CIRCULATION
- 2. What we will discuss The Challenge of BIG Data ADVANCED Analytics SOLUTIONS in the Pipeline Copyright 2013 RESTRICTED CIRCULATION 2
- 3. Big Data : Distributed Processing Aureus Claims Solution ! Footer Option 2 OLD IDEA Copyright 2013 RESTRICTED CIRCULATION NEW IDEA 3
- 4. EXAMPLE 1: Task of storing books on a shelf Aureus Claims Solution Footer Option 2 Image source Flickr. Image copyright belongs with original artist. Simple, right? Copyright 2013 RESTRICTED CIRCULATION 5
- 5. EXAMPLE 1: Task of storing books on a shelf Aureus Claims Solution And now? Footer Option 2 Image source Flickr. Image copyright belongs with original artist. Copyright 2013 RESTRICTED CIRCULATION 6
- 6. Aureus Claims Solution Footer Option 2 Image source Flickr. Image copyright belongs with original artist. Copyright 2013 RESTRICTED CIRCULATION 7
- 7. EXAMPLE 2 : Summarizing a Report Aureus Claims Solution SUMMER PROJECT REPORT Footer Option 2 Simple, right? Copyright 2013 RESTRICTED CIRCULATION 8
- 8. EXAMPLE 2 : Summarizing a Report Aureus Claims Solution Footer Option 2 And now? Copyright 2013 RESTRICTED CIRCULATION 9
- 9. EXAMPLE 3 : Baking a Cake Simple, right? Aureus Claims Solution And now? Footer Option 2 Image source PINTEREST. Image copyright belongs with original artist. Copyright 2013 RESTRICTED CIRCULATION 10
- 10. Advanced Analytics • Well developed tool set for “small data” environment • Aureus Claims Solution Challenges in Big Data environment Footer Option 2 Copyright 2013 RESTRICTED CIRCULATION 11
- 11. Advanced Analytics: MapReduce Difficulties Aureus Claims Solution Footer Option 2 ITERATIVE Image source Flickr. Image copyright belongs with original artist. Copyright 2013 RESTRICTED CIRCULATION 12
- 12. Advanced Analytics: MapReduce Difficulties Aureus Claims Solution Footer Option 2 INCREMENTAL PROCESSING REQUIRES RESTART Image source Flickr. Image copyright belongs with original artist. Copyright 2013 RESTRICTED CIRCULATION 13
- 13. Advanced Analytics: MapReduce Difficulties Aureus Claims Solution Footer Option 2 BATCH LEARNING SCANS ALL DATA IN ONE GO Copyright 2013 RESTRICTED CIRCULATION 14
- 14. Some Solutions Data Scientists are working on Aureus Claims Solution New frameworks • E.g., HaLoop*, PrIter# (Extensions of Hadoop) • Percolator$ (Proprietary Google framework) Footer Option 2 * Y. Bu, B. Howe, M. Balazinska, and M. Ernst, “HaLoop: Efficient iterative data processing on large clusters”, VLDB, 2010. # Y. Zhang, Q. Gao, L. Gao and C. Wang, “PrIter: A distributed framework for prioritized iterative computations”, SoCC, 2011. $ D. Peng and F. Dabek, “Large-scale incremental processing using distributed transactions and notifications”, OSDI, 2010 Copyright 2013 RESTRICTED CIRCULATION 15
- 15. Some Solutions Data Scientists are working on Aureus Claims Solution Smarter algorithms / Different implementations • Random forest • Parallelized Stochastic Gradient Descent Footer Option 2 Copyright 2013 RESTRICTED CIRCULATION 16
- 16. @nilesh_karnik Nilesh@aureusanalytics.com Copyright 2013 RESTRICTED CIRCULATION 17
- 17. Aureus Claims Solution ThankOption 2 Footer You! SINGAPORE INDIA Aureus Analytics Pte. Ltd. 17, Phillip Street, #05-01, Grand Building Singapore (048695) Aureus Analytics Pvt. Ltd. 706, Powai Plaza Hiranandani Gardens, Powai Mumbai – 400076 info@aureusanalytics.com Copyright 2013 RESTRICTED CIRCULATION www.aureusanalytics.com