The Fifth Elephant is India's largest gathering of big data and analytics practitioners. The theme of this year's edition is analytics. Speakers will share practical experiences with data mining, machine learning and building technology for analytics.
The conference has two tracks: infrastructure for analytics and applications.
| Time | Auditorium 1 | Auditorium 2 |
|---|---|---|
| 08:30 – 09:15 | Check-in and breakfast | |
| 09:15 – 09:30 | Introduction to HasGeek and The Fifth Elephant | |
| 09:30 – 10:15 |
Unified analytics platform for BigdataAmareshwari Sriramadasu, Inmobi |
'Know Your Customer!' - Advanced Data Science for Audience SegmentationPrabhakar Srinivasan, Cisco |
| 10:15 – 11:00 |
How to build a Data Stack from scratchVinayak Hegde, Helpshift |
Data sciences (is) in fashion @ MyntraDivya Alok, Myntra |
| 11:00 – 11:30 | Tea break | |
| 11:30 – 12:15 |
Sponsored session: Real-time analytics: market and technology perspectivesSrini Srinivasan, Aerospike and Mohit Saxena, InMobi |
|
| 12:15 – 01:00 |
Serving user intent: Facebook style notifications using HBase and Event streamsRegunath Balasubramanian, Flipkart |
How we do research on high frequency financeChirag Anand, IGIDR |
| 01:00 – 02:00 | Lunch | |
| 02:00 – 02:45 |
Circuitscape - A Case Study on Scientific ComputingViral B. Shah, Co-creator at Circuitscape |
|
| 02:45 – 03:30 |
Scaling Spatial Data - OpenStreetMap as InfrastructureSajjad Anwar |
Why we built the most adopted Polyglot Object Mapper for NoSQL?Vivek Shrivastava, Impetus Technologies |
| 03:30 – 04:15 |
High-teasponsored by Flipkart |
|
| 04:15 – 05:00 |
Analytics on Large Scale, Unstructured, Dynamic Data using Lambda ArchitectureRajesh Muppalla, Indix |
Using Cascalog and Clojure to make the elephant move!Harshad Saykhedkar, Sokrati |
| 04:35 – 05:00 |
Learnings from doing analytics on linked-dataInder Pall Singh, InMobi |
|
| 05:00 – 05:45 |
Keynote: Realizing Large-scale Distributed Deep Learning Networks over GraphLabDr. Vijay Srinivas A, Impetus Technologies |
|
| 05:45 – 07:15 |
CIO Panel: Real-time analytics in the enterprisePowered by HasGeek & Nexus Venture Partners |
|
| Time | Auditorium 1 | Auditorium 2 |
|---|---|---|
| 08:30 – 09:15 | Check-in and breakfast | |
| 09:15 – 09:30 | Summary of day 1 & introduction to day 2 | |
| 09:30 – 10:15 |
Keynote: Personalized Medicine and Big DataDr. Anu Acharya, Mapmygenome India Limited |
|
| 10:15 – 11:00 |
Live analytical dashboards at scale - SQL styleShashwat Agarwal, Flipkart |
Lessons from Elasticsearch in productionSwaroop, Helpshift |
| 11:00 – 11:30 | Tea break | |
| 11:30 – 12:15 |
Scaling real time visualisations for Elections 2014S. Anand, Gramener |
Scaling SolrCloud to a large number of collectionsShalin Mangar, Lucene/Solr |
| 12:15 – 12:30 |
Dr. Hadoop – Diagnose your Hadoop JobsChandraprakash Bhagtani, Intuit |
The state of Julia - a fast language for technical computingViral Shah, co-creator at Julia Language |
| 12:30 – 01:00 |
De-dup on HadoopNeeta Pande, Intuit |
Using Data for ArtRasagy Sharma, Microsoft IDC |
| 01:15 – 02:00 | Lunch | |
| 02:00 – 02:45 |
Apache Tez: Accelerating Hadoop Data PipelinesGopal Vijayaraghavan, Hortonworks |
Crafting Visual Stories with DataAmit Kapoor, narrativeVIZ Consulting |
| 02:45 – 03:15 |
Flash talksYou! |
Flash talks |
| 03:15 – 03:30 |
Real Time User-Scoring for Bidding in Display RetargetingAmbuj Singh, WalmartLabs |
|
| 03:30 – 04:00 | Tea break | |
| 04:00 – 04:45 |
Experimentation to Productization : developing a Dynamic Bidding system for a location aware Mobile landscapeEkta Grover, AdNear Pte |
Retail AnalyticsAnindo Chakraborty, Target India |
| 04:45 – 05:30 |
Closing talk: The ART of Data Mining - Practical Learnings from Real-world Data Mining applicationsShailesh Kumar |
|
| 05:30 – 05:45 | Feedback | |
| 05:45 – 07:15 |
Panel discussion: Horizon of real-time analytics technologiesPowered by HasGeek & Nexus |
|
July 25 & 26
NIMHANS Convention Centre
NIMHANS Hospital Premises,
Hosur Road / Marigowda Road, (Lakkasandra, Wilson Garden)
Bangalore, Karnataka 560029
Landmark: Near Dairy Circle