Jul 2013
8 Mon
9 Tue
10 Wed
11 Thu 09:30 AM – 04:30 PM IST
12 Fri 10:15 AM – 05:30 PM IST
13 Sat 10:15 AM – 05:30 PM IST
14 Sun
Audi 1
Audi 2
Audi 3
09:30–11:30
Neo4j Graph Workshop
Andreas Kollegger
09:30–11:30
Big Data, Real-time Processing and Storm
Prashanth Babu
12:00–13:30
MongoDB: An Overview
Edouard Servan-Schreiber
12:00–13:30
Finding order in the chaos : machine learning for web text analytics using R
Harshad Saykhedkar
14:30–16:30
Data Analysis and Visualization using R
Vinayak Hegde
14:30–16:30
Workshop: Learning ElasticSearch and using it to analyze Aadhaar's Public Datasets
Anurag
Audi 1
Audi 2
Audi 3
10:15–11:00
Agility and Innovation vs IT: how new data platforms can overcome this neverending struggle
Edouard Servan-Schreiber
11:30–12:15
Latency and Fault tolerance in OLTP @ 1.5 billion/day service calls
Regunath Balasubramanian
11:30–12:15
Cloud based low cost, low maintenance, scalable data platform
Apoorva Gaurav
12:15–13:00
Analyzing Terabytes of Data with Google BigQuery
Chandramouli Mahadevan
12:15–13:00
HOWTO run a hadoop cluster on a laptop
t3rmin4t0r
14:00–14:45
15 Billion value at risk computations in 187 milliseconds
Abinasha Karana
14:00–14:45
Strategic advantages of MongoDB
Edouard Servan-Schreiber
14:45–15:30
SolrCloud and NoSQL
Anshum Gupta
14:45–15:30
Neo4j Graphs: What, When, How
Andreas Kollegger
16:00–16:45
Workflow Schedulers: The Heart Beat of a Big Data Stack
Rajat Venkatesh
16:45–17:30
What Happens When Firefox Crashes?
Erik Rose
Audi 1
Audi 2
Audi 3
10:15–11:00
Extracting consumer trends in real time using 100 billion tweets.
Pankaj Risbood
10:15–11:00
Evaluating SSD Performance for Databases Handling Real-Time Big Data
brian bulkowski
11:30–12:15
Building large scale Analytics Platform
Prabhu Prakash Ganesh
11:30–12:15
MapReduce and the "Art of Thinking Parallel"
Shailesh Kumar
12:15–13:00
Analytics using Hadoop ecosystem on AWS
Rajat Venkatesh
14:00–14:45
Visualising networks
Anand S
14:00–14:45
Similar entity detection in large data
Arthi Venkataraman
14:45–15:30
Interactive analysis of data live, using Pandas, Matplotlib and IPython
Lakshman Prasad
14:45–15:30
Julia: A fresh approach to technical computing and data science
Viral B. Shah
16:00–16:45
A Billion Snapshots- Principles and Processes in the Census of India
Varsha Joshi
16:00–16:45
Unlocking the Potential of Data for Everyday Developers and Product Managers
Karthik Kastury
16:45–17:30
Smart Analytics in Smartphones
Satnam Singh, PhD
16:45–17:30
Co-occurrence Analytics: A versatile framework for finding interesting needles in crazy haystacks!
Shailesh Kumar