Join Us 18th - 19th April, 2017

Workshop on Big Data Engineering: Education, Research and Innovation

This workshop is a part of a project Co-creation of a Center of Excellence in Big Data Engineering , a collaboration between International Institute of Information Technology (IIIT-B) and City University London, to set up a centre of excellence in Big Data Engineering. This project aims to create a Centre of Excellence in Big Data Engineering. The objectives of the centre would be to co-create research agendas, curriculum and outreach programmes in Big Data.

Big Data is changing the world of retail,banking,transport,healthcare and cyber security. With increasing adaptation of Cloud computing by many sectors big data has become a topic in education, research and innovation. Research institutions and industries are building tools and technologies based on big data. Business players and technology providers are working on creating new products and services and are deploying novel business models that can aggregate and analyse these data. Research has shown that Big Data has direct influence in the business efficiency and decision making process. In addition Big Data available from the social media platforms are providing sufficient intelligence to the governments to identify criminals and prosecute them based on these collected evidence. On the other hand the social media data is also helping attackers to identify the most influential nodes in the network.

To address some of the challenges highlighted above, this workshop will discuss following topics

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Acquisition and Preparation of Big Data

Identifying the source, Data cleaning, Life Cycle of Big Data.To address the distinct requirements for performing analysis on Big Data,a step-by-step methodology is needed to organize the activities and tasks involved with acquiring, processing and analyzing  data.

by Prof. Chandrashekar Ramanathan


Managing Large Tabular Data

Map Reduce, Hadoop, Big Table / HBase, Columnar Databases a software framework for distributed processing of large data sets on compute clusters of commodity hardware. It is a sub-project of the Apache Hadoop project. The framework takes care of scheduling tasks.

by Prof. G Srinivasaraghavan

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Managing Data Streams

Standing queries, incremental query answering, complex event processing, event stream processing,

by Prof. Chandrashekar Ramanathan


Managing Large Graphs

NoSQL and graph databases, Google Pregel, Titan.

by Prof. G Srinivasaraghavan

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Big Data Challenges in Bioinformatics

 big data analytics of bioinformatics data towards application in the personalized medicine space

by Dr. Prashanth Athri


Infrastructure and Visualisation

Industry Standards, Visualisation methods, Visualization techniques for Graph Data Structures, Levels-of-Detail and Focus & Context Methods for Large Datasets, Seriation Methods for Table Visualization, Visual Analytics: Using Visualization for Data Analytics

by Prof. Jaya Sreevalsan Nair

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Machine Learning to support Human Learning

by Dr. Manish Gupta


Big Data: Security and Privacy
Challenges and Research Opportunities

by Professor Muttukrishnan Rajarajan



Classroom : 307 (Academic block)

IIIT Bangalore, #26/C, Opposite Infosys Gate 1, Electronic City, Bengaluru - 560100


April 18-19, 2017 9:30 AM to 5 PM

Agenda and Schedule


Event Registration link