Wednesday 23 July 2014
Auditorium 1
Auditorium 2
Auditorium
09:30–10:00
Check-in
10:00–13:00
Machine Learning using R : Crash course in Classification Methods
Bargava Subramanian
13:00–14:00
Lunch
14:00–17:00
Building distributed search applications using Apache SOLR
Saumitra Srivastav
Thursday 24 July 2014
Auditorium 1
Auditorium 2
Auditorium
09:45–10:00
Check-in
10:00–13:00
Real world machine learning
Harshad Saykhedkar
13:00–14:00
Lunch
14:00–17:00
Getting your hands dirty with Aerospike
Sunil Sayyaparaju
Friday 25 July 2014
Auditorium 1
Auditorium 2
Auditorium
08:30–09:15
Check-in and breakfast
09:15–09:30
Introductions to HasGeek, The Fifth Elephant 2014, EP
09:30–10:15
Unified analytics platform for Bigdata
Amareshwari Sriramadasu
09:30–10:15
'Know Your Customer!' - Advanced Data Science for Audience Segmentation
prabhakar srinivasan
10:15–11:00
How to build a Data Stack from scratch
Vinayak Hegde
10:15–11:00
Data sciences (is) in fashion @ Myntra
Divya Alok
11:00–11:30
Morning tea break
11:30–12:15
Sponsored session: What enterprises can learn from real-time bidding
12:15–13:00
Serving user intent : Facebook style notifications using HBase and Event streams
Regunath Balasubramanian
12:15–13:00
How we do research on high frequency finance
Chirag Anand
13:00–14:00
Lunch
14:00–14:45
Circuitscape - A Case Study on Scientific Computing
Viral B. Shah
14:00–14:45
Large Scale Modelling and Analytics Challenges at a Payments Company
subhajit sanyal
14:45–15:30
Scaling Spatial Data - OpenStreetMap as Infrastructure.
Sajjad Anwar
14:45–15:30
Why we built the most adopted Polyglot Object Mapper for NoSQL?
Vivek Shrivastava
15:30–16:15
High-tea – sponsored by Flipkart
16:15–17:00
Analytics on Large Scale, Unstructured, Dynamic Data using Lambda Architecture
Rajesh Muppalla
16:15–16:30
Using Cascalog and Clojure to make the elephant move!
Harshad Saykhedkar
16:30–17:00
Storing relationships in large data-sets using Graphs
Inder Singh
17:00–17:45
Keynote: Realizing Large-scale Distributed Deep Learning Networks over GraphLab
Dr. Vijay Srinivas A
17:45–19:15
CIO Panel
Saturday 26 July 2014
Auditorium 1
Auditorium 2
Auditorium
08:30–09:15
Check-in and breakfast
09:15–09:30
Summary of day 1
09:30–10:15
Keynote: Personalized medicine and big data - Anu Acharya
10:15–11:00
Live analytical dashboards at scale - SQL style
Shashwat Agarwal
10:15–11:00
Lessons from Elasticsearch in production
Swaroop
11:00–11:30
Morning tea break
11:30–12:15
Scaling real time visualisations for Elections 2014
Anand S
11:30–12:15
Scaling SolrCloud to a large number of collections
Shalin Mangar
12:15–12:30
Dr. Hadoop – Diagnose your Hadoop Jobs
Chandraprakash Bhagtani
12:15–12:30
The state of Julia - a fast language for technical computing
Viral B. Shah
12:30–13:00
De-dup on Hadoop
Neeta Pande
12:30–13:00
Using Data for Art
Rasagy Sharma
13:00–14:00
Lunch
14:00–14:45
Apache Tez: Accelerating Hadoop Data Pipelines
t3rmin4t0r
14:00–14:45
Crafting Visual Stories with Data
Amit Kapoor
14:45–15:15
Flash talks
14:45–15:30
Flash talks
15:15–15:30
Real Time User-Scoring for Bidding in Display Retargeting
Ambuj Singh
15:30–16:00
Evening tea break
16:00–16:45
Experimentation to Productization : developing a Dynamic Bidding system for a location aware Mobile landscape
Ekta Grover
16:00–16:45
Application of analytics in retail - Anindo Chakraborthy
16:45–17:30
The ART of Data Mining - Practical Learnings from Real-world Data Mining applications
Shailesh Kumar
17:30–17:45
Feedback
17:45–19:15
HasGeek-Nexus powered panel on "Real-time analytics – technologies of today, for tomorrow"