A conference on big data and analytics
Jul 2014
21 Mon
22 Tue
23 Wed 09:30 AM – 05:00 PM IST
24 Thu 09:45 AM – 05:00 PM IST
25 Fri 08:30 AM – 07:15 PM IST
26 Sat 08:30 AM – 07:15 PM IST
27 Sun
Submissions are closed for this project
NIMHANS Convention Centre, Bangalore
CIO Panel
Keynote: Personalized medicine and big data - Anu Acharya
HasGeek-Nexus powered panel on "Real-time analytics – technologies of today, for tomorrow"
Live analytical dashboards at scale - SQL style
Shashwat Agarwal
Getting your hands dirty with Aerospike
Sunil Sayyaparaju
Real world machine learning
Harshad Saykhedkar
The ART of Data Mining - Practical Learnings from Real-world Data Mining applications
Shailesh Kumar
Experimentation to Productization : developing a Dynamic Bidding system for a location aware Mobile landscape
Ekta Grover
Real Time User-Scoring for Bidding in Display Retargeting
Ambuj Singh
Apache Tez: Accelerating Hadoop Data Pipelines
t3rmin4t0r
Dr. Hadoop – Diagnose your Hadoop Jobs
Chandraprakash Bhagtani
De-dup on Hadoop
Neeta Pande
Scaling Spatial Data - OpenStreetMap as Infrastructure.
Sajjad Anwar
Analytics on Large Scale, Unstructured, Dynamic Data using Lambda Architecture
Rajesh Muppalla
Scaling real time visualisations for Elections 2014
Anand S
Serving user intent : Facebook style notifications using HBase and Event streams
Regunath Balasubramanian
Circuitscape - A Case Study on Scientific Computing
Viral B. Shah
How to build a Data Stack from scratch
Vinayak Hegde
Unified analytics platform for Bigdata
Amareshwari Sriramadasu
Machine Learning using R : Crash course in Classification Methods
Bargava Subramanian
Building distributed search applications using Apache SOLR
Saumitra Srivastav
Sponsored session: What enterprises can learn from real-time bidding
This project is brought to you by