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PhanindraSarma Proposing Hadoop and its Eco SystemObjective is to understand Architecture and usage of Hadoop and tools around Hadoop more
Section: Big Data Infrastructure & Processing
Technical level: Intermediate
Session type: Lecture
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AL
Akbar Ladak Video Analytics for live streamsGleaning data out of live streams - TV, radio, surveillance & sports. more
Section: Data Analytics
Technical level: Beginner
Session type: Demo
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VR
Vijay Rayapati Lessons Learned : Scaling Hadoop and BigData in Cloud (Amazon EMR )High level technology and business perspective around BigData including how to and why leverage cloud based platforms like Amazon EMR along with Map Reduce for data analysis. more
Section: Big Data Infrastructure & Processing
Technical level: Intermediate
Session type: Lecture
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AS
Anand S Visualising TextHow can text be analysed quantitatively? How can it be visualised? What tools exist today that I can use? more
Section: Data Visualization
Technical level: Intermediate
Session type: Tutorial
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GU
Goldee Udani Finding signal in the noise: How to put big data to useHow one can derive actionable insights from big data using Machine Learning, Natural Language Processing and Statistical Modeling more
Section: Data Analytics
Technical level: Intermediate
Session type: Lecture
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UG
Uttam Grandhi An Introduction to Data Visualization & Processing ( Programming Language)To excite the audience into the world of Data Visualization through a gateway called Processing ( Programming Language ). more
Section: Data Visualization
Technical level: Beginner
Session type: Tutorial
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DS
Deepak Shenoy Financial Market and Economic DataTo demonstrate different ways to slice and dice financial market data and economic numbers. From static charts to moving and interactive visualizations, we’ll take a look at what markets have prompted investors, traders and managers to create in order to make sense of the madness. more
Section: Data Visualization
Technical level: Intermediate
Session type: Lecture
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SC
Sumandro C the aRt of NSSO dataUnderstanding the structure of raw data published by the National Sample Survey Office. Understanding the processes (and libraries) for extracting, exploring and visualising the data with R. more
Section: Industry & Business
Technical level: Intermediate
Session type: Lecture
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JD
Jaidev Deshpande Exploratory Data Analysis with PythonObjectives: Learning how to find general details about a dataset before jumping on to the machine learning / big data bandwagon. (I’m calling these things ‘bandwagon’ because they are incredibly powerful, and in many cases, the application might not warrant a full scale use of such tools.) more
Section: Data Analytics
Technical level: Intermediate
Session type: Tutorial
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Vinayak Hegde A Herd of Elephants - Navigating the Hadoop EcosystemA overview of the Hadoop ecosystem and how the different parts of the ecosystem interact and fit together. more
Section: Big Data Infrastructure & Processing
Technical level: Intermediate
Session type: Tutorial
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Vinayak Hegde Seeing through the Haze - Advanced Visualisations using PythonHow to use advanced visualizations to see multidimensional data using python libraries. more
Section: Data Visualization
Technical level: Advanced
Session type: Demo
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KK
Karthik Kastury Real Time Analytics with Twitter StormPerform Real time analysis of the data that is coming into your System from multiple sources. I’ll talk about Different Use Cases from a Performance Monitoring Standpoint, and a little bit on Data Visualization. more
Section: Data Analytics
Technical level: Intermediate
Session type: Tutorial
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AN
Amritayan Nayak Visual data apps using d3.js and Knoema Data APIHow to build beautiful and engaging HTML5 visualizations using d3.js and Knoema Data API. more
Section: Data Visualization
Technical level: Intermediate
Session type: Tutorial
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PD
Purnachandra Rao Duggirala How to select right charts for your data?To teach beginners & regular users how to select right charts & visualizations based on the user needs. more
Section: Data Visualization
Technical level: Beginner
Session type: Lecture
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PD
Purnachandra Rao Duggirala Visualization using MS Excel - Hands on WorkshopThis is a half-day workshop to teach how to visualize data using Excel more
Section: Data Visualization
Technical level: Intermediate
Session type: Workshop
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kracekumar-twitter Proposing Data analysis with PydataHow to use pydata to harness data analytics Outline more
Section: Data Analytics
Technical level: Beginner
Session type: Tutorial
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MB
Milind Bhandarkar Big Data Analytics with Greenplum Unified Analytics PlatformIn this talk, attendees will learn various use cases of Big Data analytics, and how to solve them Greenplum’s Unified Analytics platform that combines Greenplum Chorus, a collaboration platform for data science teams; Greenplum Database, a powerful MPP database; and Greenplum HD, a distribution of Apache Hadoop. more
Section: Big Data Infrastructure & Processing
Technical level: Intermediate
Session type: Lecture
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sj
shree joshi Introduction to data analysis & visualisation with RTo introduce basic concepts & application of R to audience. more
Section: Data Analytics
Technical level: Beginner
Session type: Tutorial
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AM
Anoop Thomas Mathew The Redis way of AnalyticsRedis is one the fastest key-value pair, noSQL, in-memory database available on market, and many companies like disqus uses Redis for analytics. The workshop aims at enabling attendees quick prototyping, and designing fast and efficient analytic solutions with Redis and Python. Workshop will be unveiling the other side of Hadoop, with instant analytics of data. more
Section: Data Analytics
Technical level: Intermediate
Session type: Workshop
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MD
Manoj Diwakar Data Analysis using SAS Software.The Statistical Analysis System (SAS 9.2 ) Software is extensively used around the world in the Medical and Social industries. SAS can visualise the large data and performed statistical analysis. more
Section: Data Analytics
Technical level: Intermediate
Session type: Lecture
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OH
Onkar Hoysala Games for Data CollectionTo discuss the use of serious games for data collection. more
Section: Data Analytics
Technical level: Intermediate
Session type: Lecture
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OH
Onkar Hoysala Structuring data from surveys - A case study from a slum survey conducted in 2010To present a case study of the slum survey conducted by NGIL, CSTEP in 2010 and to discuss the data collection and cleanup process, and the challenges that were faced. more
Section: Industry & Business
Technical level: Intermediate
Session type: Lecture
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SK
Sherline Pimenta K. Everybody Needs a Story: A Narrative Approach to Information VisualizationUnderstanding Information Visualization via the Visual Narrative (VN) paradigm. more
Section: Data Visualization
Technical level: Beginner
Session type: Lecture
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LC
Lucy Chambers OpenSpending: Data Literacy, Citizen Participation and Government SpendingEver been curious about how your government spends your tax money? This session aims to show participants how they can use OpenSpending.org to explore public spending and hold governments to account. We’ll highlight examples of how others have used it, from tracking Big Brother states, our work in data journalism, myth-busting about government budgets in Hungary, showing the taxpayer how much an … more
Section: Data Visualization
Technical level: Intermediate
Session type: Workshop
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Pramod Biligiri Big Data in a Small StartupWhat unexpected problems and challenges will you find when you go tackling big data problems, esp. if you’re a bootstrapped startup with resource constraints? more
Section: Big Data Infrastructure & Processing
Technical level: Beginner
Session type: Lecture
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JS
Joydeep Sen Sarma The Elephant in the CloudHow do you build a big data service in the Cloud? How can we make queries against relatively slow Cloud Storage Systems fast? How can we take real advantage of the elasticity available in the Cloud? How do you make the Cloud dead easy to use for big data processing? more
Section: Big Data Infrastructure & Processing
Technical level: Intermediate
Session type: Lecture
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AD
Anannya Deb From Data to Action (in Retail Banking)The promise of data (and all the technologies, systems, processes, etc. related to it) for many years has been a world where people are empowered to lead successful lives. Customers get the right products and services, organisations become more profitable, governments become more responsive to their citizens, markets become more precise and predictable and so on and on. more
Section: Industry & Business
Technical level: Intermediate
Session type: Lecture
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AK
Amit Kapoor Targeting the Moment of Truth: Using Big Data in RetailTo share insights from use of big data by retailers in the area of pricing, promotion & supply chain and understand how some of the leading retailer are using big data analytics to design the next best offer for their customer more
Section: Industry & Business
Technical level: Beginner
Session type: Lecture
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MC
Mohit Chawla Logstash & Elasticsearch - Give meaning to your logs, and moreThere is a lot of information available in your server/app logs. And a lot of noise, too. Either you can treat all of this as a dry lifeless source of information and only using them when troubleshooting/debugging or you can do interesting things with them, making sense out of them, and use them as an important data source to drive decisions for your infrastructure/app, pro-actively. more
Section: Big Data Infrastructure & Processing
Technical level: Beginner
Session type: Lecture
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VR
Venkata Ramana Approaches to ML techniques on the Real world data.Learn how to think in applying ML techniques, and the practical aspects of it. more
Section: Data Analytics
Technical level: Intermediate
Session type: Demo
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SS
Sameer Segal CouchDB: All your JSON are belong to usAn overview of CouchDB and its amazing replication feature, horizontal scalability and (a completely new dimension to databases) called CouchApps. more
Section: Big Data Infrastructure & Processing
Technical level: Intermediate
Session type: Tutorial
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RD
Rahul Deshmukh Splunk> Driving Real-time Analytics from Small Data, Big Data and Huge DataHear how more than half of Fortune 100 companies drive value from their data and how Splunk is helping organizations. more
Section: Data Analytics
Technical level: Intermediate
Session type: Lecture
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GR
Girish Narasimha Raghavan Operational Data Analytics and Insights - Leveraging Bigdata to manage IT infrastructure.The data gathered from monitoring the IT infrastructure elements like hosts, network, web servers, etc are critical in ensuring smooth and reliable operations of services provided. Storing, analyzing, and delivering actionable insights from such data becomes very difficult and complex when the infrastructure setup is at a large scale as it is in Yahoo!. more
Section: Industry & Business
Technical level: Intermediate
Session type: Lecture
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DT
Dorai Thodla Explorations in Data Analysis and VisualizationTo share knowledge on how our goals led us to build a simple data analysis and visualization tool and some ideas for the future. more
Section: Data Visualization
Technical level: Beginner
Session type: Discussion
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prashant singh Managing Data on HadoopThe paper talks about an approach on how to manage high volume data movement on hadoop, making it available for processing in Yahoo!. As part of grid data management, we load Terabytes of data daily onto hadoop clusters and replicate the same to BCP clusters. As part of this tech talk, we want to share our experiences, challenges and techniques of high volume data movement on hdfs. more
Section: Big Data Infrastructure & Processing
Technical level: Intermediate
Session type: Lecture
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SG
Shantanu Gudihal Emerging techniques in stake holder feedback managementExplore the newer techniques in feedback management with the advancements in the field of text analytics. more
Section: Industry & Business
Technical level: Intermediate
Session type: Demo
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DD
Deepinder Dhingra Real Time Intelligent Systems & Big Data StreamsTo understand the latest trends in Real time analytics, and the advantages of applied predictive analytics. more
Section: Data Analytics
Technical level: Intermediate
Session type: Lecture
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SB
Sridhar Bollam How your favorite retailers make money from analytics?Challenges in the retail industry & ways to solve them through data mining & predictive analytics more
Section: Data Analytics
Technical level: Intermediate
Session type: Lecture
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qubole Messaging architecture at FacebookThe audience will learn design options for building large scale messaging system and how technical, philosophical and organizational considerations surrounding these played out at Facebook. more
Section: Industry & Business
Technical level: Advanced
Session type: Lecture
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PB
Prashanth Babu An introduction to Data Analysis and Visualisation using D3.jsD3.js is a JavaScript library for manipulating documents based on data. more
Section: Data Visualization
Technical level: Beginner
Session type: Workshop
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PB
Prashanth Babu Hands-on introduction to PigPig is a high-level platform for creating MapReduce programs used with Hadoop for analyzing Big Data. more
Section: Big Data Infrastructure & Processing
Technical level: Beginner
Session type: Workshop
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GA
Gaurav Agarwal The Elephant that Flew - Big Data Analytics @ InMobiA discussion on the evolution of bigdata systems within InMobi and a discussion/demo of an in-house data processing and analytics system for large data at InMobi scale. more
Section: Big Data Infrastructure & Processing
Technical level: Intermediate
Session type: Lecture
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SS
Sunil Sayyaparaju How big data moved the needle from monolithic SQL RDBMS to distributed NoSQLThe objective of this talk is to talk about different types of DBMS solutions (SQL/NoSQL - monolith/distributed) and the type of applications that are appropriate for a type of DBMS. The talk will highlight the design choices made by the developers for these different types of DBMS. more
Section: Big Data Infrastructure & Processing
Technical level: Intermediate
Session type: Lecture
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RH
Ramesh Hariharan Your Genome on the Cloud: Big Data Challenges in Personalized MedicineWe are at the threshold of a major revolution in health care: thanks to two decades of explosive research in tools and techniques that interrogate living cells at the molecular level, doctors will soon have an invaluable tool added to their arsenal to help diagnose and cure disease, i.e., the genome of the patient. Several success stories have already emerged, for instance, a little boy who neede… more
Section: Data Analytics
Technical level: Beginner
Session type: Lecture
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H
Harish Big Data in Real Time: Processing the Social Web within a tolerable elapsed timeUnderstanding the challenges posed while dealing with ‘Big Data’, in terms of time, processing and storage with special emphasis on social media intelligence systems which require the crawling and processing terabytes of data within a ‘reasonable’ time frame. more
Section: Big Data Infrastructure & Processing
Technical level: Intermediate
Session type: Lecture
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AB
Ashok Banerjee Exponential Growth Models and Impact on Sales Forecast,Data Volume, Query Latency, Capacity Planning and Search LatencyWe often loosely talk about exponential growth in this talk we will delve into the mathematical models of when a domain or market will undergo exponential growth. We often mistakenly believe the execution of one company is better than that of another, when in fact the domains and fundamental mathematical growth models of the 2 markets are in fact different. more
Section: Big Data Infrastructure & Processing
Technical level: Beginner
Session type: Lecture
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VP
Vibodh Parthasarathi Same News, Different Channels? – Measuring Diversity in TV NewsPresent an approach to measure differences in Content, News Themes and Programming across TV News channels; Discuss ways to scale up this approach and more creatively showcase its findings. more
Section: Industry & Business
Technical level: Beginner
Session type: Lecture
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SR
Siddhartha Reddy Build Your Own Search EngineNo, this is not another tutorial on using Solr/ElasticSearch/Sphinx/Lucene. Imagine that none of these existed and you need a search engine for your shiny new eCommerce startup. What would you do? Build your own search engine, of course. I’ll go over what it would take to do that. more
Section: Big Data Infrastructure & Processing
Technical level: Intermediate
Session type: Lecture
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AR
Ashwin Rajeev Building analyzing and visualizing large graphsA tutorial on how to model, use and visualize large graphs on existing storage systems. more
Section: Data Analytics
Technical level: Intermediate
Session type: Lecture
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SS
Shourya Sarcar Data Explosion in Medical ImagingGone, or rather going, are the days when you would exit a doctor’s chamber an X-ray plate in your hand. Medical imaging has turned filmless today - with the advent of CT, MR, and digital X-Ray machines churning out gigabytes of data in every tier 1 & 2 Indian city for each patient, are we prepared to archive, transfer and retrieve this data ? more
Section: Industry & Business
Technical level: Beginner
Session type: Lecture
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Shashwat Agarwal Scaling Data ( DB ->Caching -> Archiving -> Sharding and NoSQL)In this talk I will go over the stages of scaling for OLTP Data Processing. Each level of scaling takes step functions in incremental effort and should be deferred for within reason in a startup ecosystem. more
Section: Big Data Infrastructure & Processing
Technical level: Intermediate
Session type: Lecture
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VS
Vivek Y S ACID + BASE = ??Understanding the challenges in building scalable fault tolerant system from first principles. more
Section: Big Data Infrastructure & Processing
Technical level: Intermediate
Session type: Lecture
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AP
Ashish Prasad Finding the elephant with Neo4jIntroduction to using graph database called neo4j and how one can organize data in graphs to mine metrics that matter. more
Section: Data Analytics
Technical level: Beginner
Session type: Tutorial
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AS
Arvind Saraf Application of Data analytics in Small / Medium Enterprise planningUnderstand the relevance of better use of data in SME planning - and think of various architectures / solutions that can be fit the problem more
Section: Industry & Business
Technical level: Beginner
Session type: Lecture
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LN
Laura Newman Become a Data Wrangler! Learning how to work with data.Discover more about the School of Data. Try out some learning challenges to hone your skills, or turn your hand to writing and share your knowledge with Data Wranglers across the world! more
Section: Data Analytics
Technical level: Beginner
Session type: Workshop
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AC
Anand Chitipothu How the Internet Archive preserves petabytes of dataUsing Internet Archive as a case study, this talk presents aspects of big data in the context of long-term preservation. more
Section: Big Data Infrastructure & Processing
Technical level: Beginner
Session type: Lecture
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SS
Supreet Sethi Start with step 0 -> Approaching big data for small enterprisesBig data promises business gains. But a small and medium enterprise finds itself in dilemma of where to start. This session provides refreshingly simple steps from familiar territory of excel sheets and database tables to high rolling game of big data. more
Section: Big Data Infrastructure & Processing
Technical level: Beginner
Session type: Tutorial
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PN
Prasad A N Analytics Platform - Experience and evolutionWith the growth of video on the web & the explosion of social networks, analytics around media consumption is a prime field of late. In this talk, we explore Akamai’s offering for analytics, the media context, the needs thereof, the technology & its evolution. Not to mention, the challenges of doing at at internet scale! more
Section: Industry & Business
Technical level: Beginner
Session type: Discussion
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RP
Ramesh Perumalsamy Build your own Real Time Analytics and Visualization, Enable Complex Event Processing, Event Patterns and AggregatesThis talk is not about usage of existing tools or frameworks. This is about building a platform for Real Time Analytics, Real time visualization and Real time Complex Event Processing triggered by Events, Event Patterns and Event Aggregates. more
Section: Big Data Infrastructure & Processing
Technical level: Intermediate
Session type: Demo
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GB
Gaurav Bhalotia Recommendation Play @FlipkartWe will go over internet recommendation systems and how the user data can be mined to learn about preferences, tastes and behavior. The goal is to give users a flavor of building intelligent systems at scale. more
Section: Data Analytics
Technical level: Intermediate
Session type: Lecture
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VM
Vivek Mehta Survey of Machine Learning tools as the data grows (Weka, R, Octave, Mahout)To review the available machine learning tools relevant for different size and scale of data. more
Section: Data Analytics
Technical level: Intermediate
Session type: Lecture
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KS
Karthik Shashidhar The Art of Data AnalysisThe explosion in techniques for data and statistical modeling has not really led to the explosion in data-driven insights that one would have expected. more
Section: Data Analytics
Technical level: Intermediate
Session type: Workshop
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AS
Avik Sarkar Combining Social Media Insights with Statistical Insights for Improved AnalyticsVarious facts are discussed about organizations and brands on Social media. How can the organizations incorporate the findings from Social Media to improve Analytics process like identifying customer churn or finding users to target in a new marketing campaign? This can help in real time proactive action by organizations to retain customers or improve customer satisfaction. This 360 degrees view … more
Section: Data Analytics
Technical level: Intermediate
Session type: Lecture
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LC
Lucy Chambers The Data Journalism HandbookWhat is Data Journalism? How can I get started? Can anyone do it? What is the Data Journalism scene like in India? This session will tackle questions such as these and will show you that anyone can be a data journalism (and that it is a jolly exciting thing to be!) more
Section: Industry & Business
Technical level: Beginner
Session type: Discussion
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PR
Prabhu Ramachandran Lessons from the evolution of MayaviLearn about a successful 3D data visualization package and the story of how and why it grew the way it did. more
Section: Data Analytics
Technical level: Intermediate
Session type: Lecture
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SG
Santosh Gannavarapu Dianemo: Distributed task management to achieve faster throughputThere is always a need to run batch/offline jobs while utilizing resources efficiently. The initial attempts are to set aside pre-configured worker boxes that will pick up jobs either by a cron scheduler or by a pre-designated manager application that is responsible for kicking off processes. Assigning boxes statically would necessitate deploying boxes that may either run out of bandwidth or may … more
Section: Big Data Infrastructure & Processing
Technical level: Intermediate
Session type: Lecture
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KP
Kaushik Paranjape Sharding MySQLLearn about how MySQL database can be scaled up to for your requirements. more
Section: Big Data Infrastructure & Processing
Technical level: Intermediate
Session type: Lecture
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PK
Prashant Kumar Building the Infrastructure to Handle Big DataUnderstanding the pieces involved in building a generic Big data infrastructure more
Section: Big Data Infrastructure & Processing
Technical level: Intermediate
Session type: Lecture
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PK
Prashant Kumar Riak: Robust and featureful distributed Key-Value storeIn this talk I’ll try to bring out unique features for Riak compared to other NoSQL databases. In particular its rich API, high availability and its use as a core building block for big data. more
Section: Big Data Infrastructure & Processing
Technical level: Intermediate
Session type: Lecture
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BC
Bibhash Chakrabarty Identifying your influencers in social media is not rocket scienceHelp initiate infrastructure & algorithm building for an influencer identification and engagement program on social media more
Section: Data Analytics
Technical level: Intermediate
Session type: Lecture
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SA
Sharad Agarwal Big Data : The wave of Innovation and DisruptionTo understand the ‘big’ picture and how the intersection of technology innovation, upcoming verticals and business landscape is driving the growth of Big Data ecosystem. more
Section: Big Data Infrastructure & Processing
Technical level: Beginner
Session type: Lecture
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KD
Karthikeyan Damodaran Analytics is a magic wand for HR professionalsOverview of Workforce Analytics, as a competency How some very persistent and intractable HR challenges can be overcome through HR Analytics- Example: Maximizing Retention, Compensation & Rewards Optimization, Boosting Hiring Effectiveness etc more
Section: Industry & Business
Technical level: Beginner
Session type: Lecture
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BP
Biswajit Pal “I know what you are going to do next summer” – Predicting Repeat Purchase Behavior by using Bayesian Hierarchical model and Regression TechniquesA major question in database marketing is that of identifying the customers who are most likely to make a repeat purchase in the near future. We will discuss a scalable repeat purchase scoring algorithm that assign a propensity score i.e. probability to transact in next ‘n’ period of time for each customer. This algorithm presently scores an entire database containing around 100MM customers in co… more
Section: Data Analytics
Technical level: Intermediate
Session type: Lecture
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KK
Kushwaha Manish Kaushal Handle BigData Analytics with Hadoop eco-system (Hadoop, HBase, Hive, WorkFlow)To give insights of the problems and solutions if you are working on very high volume of data (~ 330 TB of data). Problems involves with Hardware Infrastructure, and in functional treatment. BigData problem increases further if your data collection size going up by 10% per month. Solution through Hadoop eco-system. more
Section: Big Data Infrastructure & Processing
Technical level: Intermediate
Session type: Lecture
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PG
Piyush Goel Making sense out of semi-structured log dataDiscuss how to use big-data systems for analyzing Log data in real time. more
Section: Big Data Infrastructure & Processing
Technical level: Intermediate
Session type: Lecture
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PC
Puneeth Chaganti Data Visualization with PythonBy the end of this workshop, participants will be able to more
Section: Data Visualization
Technical level: Intermediate
Session type: Workshop
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pranavbhasin How to balance insights from analytics and your intuition to drive product decisionsBy the end of this session, the audience will have a good framework to make data driven decisions, at the same time using your intuition to guide you. more
Section: Data Analytics
Technical level: Intermediate
Session type: Lecture
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AN
Anindya Neogi "Honey, we blew the data - to build a Market Mix Model" : Modeling the Market Mix under unfavourable data conditionsThe term Market mix modeling is widely used and applied indiscriminately to a broad range of marketing models used to evaluate different components of marketing plans, such as advertising, promotion, packaging, media weight levels, sales force numbers, etc. These models can be of many types, but multiple regression is the workhorse of most marketing mix modeling. Regression is based on a number o… more
Section: Data Analytics
Technical level: Intermediate
Session type: Lecture
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GM
Gaurav Mishra Making sense of UGC on social networksSocial media generates a massive amount of data and not all brands are drawing enough sense out of it. A platform which has conversations to listen to, the question is how to create an understanding from it and use the data to identify consumers and prospects. more
Section: Industry & Business
Technical level: Beginner
Session type: Lecture
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GH
Gitali Halder Proposing Mobile Portal Personalization using Real-Time Prediction Analytics in order to help Communication Service Providers (CSPs) in customized offerings to usersWith the phenomenal growth of mobile multimedia applications across various device vendor-controlled App Stores, Communication Service Providers (CSP) are immensely challenged to identify new revenue streams due to the gradual cannibalization of its voice and messaging revenues by next generation social media players from the Internet community. Our aim is to create a real-time solution to enable… more
Section: Big Data Infrastructure & Processing
Technical level: Advanced
Session type: Lecture
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GM
Gora Mohanty Fieldata: Transparency and analytics for non-profitsFieldata ( http://fieldata.org ) is an initiative aimed at promoting data-driven decision-making in the non-profit sector in India; including NGOs, governmental organisations, and academic institutions. more
Section: Industry & Business
Technical level: Beginner
Session type: Lecture
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NP
Nikhil Pahwa RTI & Data: Opportunities, Issues & ChallengesYou’ll understand what kind of data you can get from the government and how you can use this data, challenges faced when asking for information, with the data you receive. more
Section: Industry & Business
Technical level: Beginner
Session type: Discussion
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ad
apoorv durga Social Media Monitoring - what is it and why do you need to know about it?This fast-paced presentation will share customer research from noted evaluation firm Real Story Group on leading Social Media Monitoring and Intelligence (SMM/I) tools, and provide a framework for customers to assess technology choices based on their particular needs. Specifically, a methodology for mapping business needs to technology alternatives, as well as a roadmap for evaluating SMM/I vendo… more
Section: Industry & Business
Technical level: Beginner
Session type: Tutorial
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KK
Kalpana Krishnaswami Open data and the life sciences: An open worldAn example of building real world semantic web applications for the life sciences. Challenges, perspectives and our experiences. more
Section: Industry & Business
Technical level: Beginner
Session type: Lecture
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AP
Ankur Pandey The science behind Predictive Analytics- a Text Mining PerspectiveI will introduce key concepts and algorithms from Statistics, Machine Learning, Information Retrieval, etc. which are being used in the text mining side of the predictive analytics domain. more
Section: Data Analytics
Technical level: Intermediate
Session type: Lecture
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AK
Arvind K Towards Social Semantic ToolsPeople on social media sites like twitter, facebook, etc have been generating a lot of data for some time now and there has been attempts to analyse the sentiment of the moment - say for example to guess the trend of some stock price. However, for most of us this data is of interest if we can assimilate something of interest and present it in a different context. We present a simple set of tools,… more
Section: Big Data Infrastructure & Processing
Technical level: Intermediate
Session type: Demo
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Pr
Prithvijit roy Simplifying advanced analytics to empower business managersIntent of the session is to provide a comprehensive picture of the key challenges analytics is facing in the world of business and how we can solve them with help of technology and business context more
Section: Industry & Business
Technical level: Beginner
Session type: Lecture
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KV
Karthik Visweswariah Building Watson -- A Brief Overview of DeepQA and the Jeopardy! ChallengeWe will give an overview of the building of Watson a computer system that was able to defeat human grand champions in the game of Jeopardy (a popular quiz show in the United States) more
Section: Big Data Infrastructure & Processing
Technical level: Intermediate
Session type: Lecture
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SA
Sandeep Amar Everything you wanted to know about internet analytics - to infinity and beyond.....This session will give a complete overview of internet data and analytics: more
Section: Data Analytics
Technical level: Advanced
Session type: Lecture
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r
rhebbar Social Media & Text Analytics using Open Source ToolsDiscuss how you can start analyzing Social Media Data today using Open Source Tools like RapidMiner or Open Source Languages like Python, R and PERL. more
Section: Data Analytics
Technical level: Beginner
Session type: Lecture
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JZ
Joseph Ziegler Big Data and the Cloud a Best Friend StoryCommunicate the challenges of big data processing that the cloud addresses, such as public data sets, sharing, collection, storage and analytic. more
Section: Big Data Infrastructure & Processing
Technical level: Beginner
Session type: Lecture
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RB
Regunath Balasubramanian Aadhaar - world's largest biometric identity platform (200 trillion biometric matches per day, 2 PB of data)Describe the technology needs and solutions behind Aadhaar - the world’s largest biometric identity platform. more
Section: Big Data Infrastructure & Processing
Technical level: Intermediate
Session type: Lecture
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ahmar abdullah Delivering profitable growth for eCommerce business using advance analyticsThe session will give an understanding of how advance analytics can be used to drive profitable growth in eCommerce business. Various problems that exists along the eCommerce value chain are identified and analytics solutions for the same discussed. more
Section: Data Analytics
Technical level: Intermediate
Session type: Lecture
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CN
Chandu Nair Making money out of dataTo help folks understand the ways money can be made out of data in its various forms more
Section: Industry & Business
Technical level: Intermediate
Session type: Discussion
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Navjot Sidhu Looking beyond the usual suspects for Near Real Time analytics on Big DataShare lessons learned that help look beyond the hype of big data. Some insights on infrastructure, limitations and capabilities available. more
Section: Big Data Infrastructure & Processing
Technical level: Intermediate
Session type: Lecture
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Anand Shankar A complete suite setup and challenges on modern databaseA complete suite setup and challenges on modern database and hands-on. more
Section: Big Data Infrastructure & Processing
Technical level: Intermediate
Session type: Workshop
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Rahul Kulkarni Crunching big data, Google scaleInsights from Google’s experience on handling big data, overview of techniques and products (with case studies) on crunching big data. more
Section: Big Data Infrastructure & Processing
Technical level: Beginner
Session type: Lecture
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Venky Shankar GlusterFS "Big Data" InterfaceInfrastructure for Big-Data processing (drop-in replacement for Hadoop Distributed File System - HDFS) more
Section: Big Data Infrastructure & Processing
Technical level: Intermediate
Session type: Demo
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HP
Harish Pillay In Data We BelieveData drives eveything we do. Without it, everything stops. Literally. This swamp of data we are both floating and sinking is not really new. What is new is that the enormous amounts of data is now at our fingertips. It is not stored away and at rest. We are at the dawn of a golden period of gaining insights from this data that could not have been possible even five years ago. This talk will take … more
Section: Big Data Infrastructure & Processing
Technical level: Beginner
Session type: Discussion
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