Big Data Engineering Workshop – 18 – 19 April 2017

 

 

This workshop is a part of a project Co-creation of a Center of Excellence in Big Data Engineeringa collaboration between  International Institute of Information Technology (IIIT-B) and City University London, as the UK partner, 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.

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Please Join Us April 18 – 19

Big data Workshop — IIIT-Bangalore

2017 International Workshop on Big Data Engineering: Education, Research to Innovation

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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Managing Large Text Corpora

Document vector model, information retrieval, subspace partitioning and generative clustering

by Prof. Srinath Srinivasa

 

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

Details

Location

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

Time & Date

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

Event Registration link

 

 

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