BEGIN:VCALENDAR VERSION:2.0 PRODID:-//HasGeek//NONSGML Funnel//EN DESCRIPTION:An Event on Big Data and Cloud Computing X-WR-CALDESC:An Event on Big Data and Cloud Computing NAME:The Fifth Elephant 2013 X-WR-CALNAME:The Fifth Elephant 2013 REFRESH-INTERVAL;VALUE=DURATION:PT12H SUMMARY:The Fifth Elephant 2013 TIMEZONE-ID:Asia/Kolkata X-PUBLISHED-TTL:PT12H X-WR-TIMEZONE:Asia/Kolkata BEGIN:VEVENT SUMMARY:Neo4j Graph Workshop DTSTART:20130711T040000Z DTEND:20130711T060000Z DTSTAMP:20260421T123255Z UID:session/XJUcVQYHaNjEZe8CSHrnkX@hasgeek.com SEQUENCE:2 CATEGORIES:Workshops,Beginner CREATED:20190705T045836Z DESCRIPTION:This hand-on session will be a crash course in using the Neo4j graph database. Assuming nothing\, we'll learn about working with Neo4j t hrough a progressive series of exercises. \n\nWe will use Neo4j's query la nguage\, Cypher\, to:\n\n- create a simple graph\n- import a larger sample graph\n- run basic queries to get known data\n- discover new data with gr aph patterns\n\nYou will leave with a foundation of how to begin working w ith Neo4j\, ready to explore more with language-specific drivers.\n\n### S peaker bio\n\nWith NASA\, for the love of technology. Then Zambia\, using technology for social good. Now with Neo4j\, making the world a better pla ce from a graph perspective.\n\nAndreas has been part of the Neo4j communi ty since having his own graph epiphany while working on medical informatic s in Zambia. He joined as an early member of core engineering\, and has no w taken on the role of Product Experience Designer\, responsible for matur ing that fantastic codebase into an industrial strength product.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 2 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/neo4j-graph-workshop-X JUcVQYHaNjEZe8CSHrnkX BEGIN:VALARM ACTION:display DESCRIPTION:Neo4j Graph Workshop in Audi 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Big Data\, Real-time Processing and Storm DTSTART:20130711T040000Z DTEND:20130711T060000Z DTSTAMP:20260421T123255Z UID:session/RY88ckWWu7P2CqMMwpa9ys@hasgeek.com SEQUENCE:2 CATEGORIES:Workshops,Beginner CREATED:20190705T045858Z DESCRIPTION:Hadoop is predominantly for batch processing. Did you ever won der how to process Big Data in real-time? If yes\, this workshop is for yo u. \n\nTo give an example\, trends in Twitter are powered by Storm\; Tweet s are analyzed in real-time to find the trending topics / hashtags using S torm.\n\nThis workshop will introduce the basics of Storm and its salient features. We will discuss how Storm is similar / different from Hadoop. We will also run through the source of WordCount example and its demo. And f inally we will discuss how Hadoop and Storm together can help process Big Data seamlessly.\n\nIf time permits\, we will also check a simple demo of real-time processing of tweets using Storm.\n\nBrief outline of the sessio n has been uploaded to [Slideshare](http://www.slideshare.net/prashanthvvb abu/big-data-realtime-processing-and-storm)\, which is also embedded in sl ides section below.\nPlease check the slidedeck and let me know if you hav e any feedback and / or comments on the outline of the workshop.\n\n**Note **: For this session\, we will be using [Storm Local Mode](https://github. com/nathanmarz/storm/wiki/Local-mode) for developing and testing the code. So\, any laptop with JDK and Maven should suffice.\n\n### Speaker bio\n\n Prashanth Babu is a Research Engineer with [NTT DATA](http://www.nttdata.c om). He is working on an R & D initiative on Big Data using Apache Hadoop Ecosystem. He is also Cloudera Certified Developer for Apache Hadoop [CCDH ].\n\n[About Prashanth](http://About.Me/Prashanth "About Prashanth")\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 3 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/big-data-real-time-pro cessing-and-storm-RY88ckWWu7P2CqMMwpa9ys BEGIN:VALARM ACTION:display DESCRIPTION:Big Data\, Real-time Processing and Storm in Audi 3 in 5 minut es TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:MongoDB: An Overview DTSTART:20130711T063000Z DTEND:20130711T080000Z DTSTAMP:20260421T123255Z UID:session/MS1PirWpVx3zXNu5mYGtN7@hasgeek.com SEQUENCE:2 CATEGORIES:Workshops,Beginner CREATED:20190705T045933Z DESCRIPTION:This will be a practical demonstration of MongoDB overviewing \n- Schema design\n- MongoDB query language\n- Indexing options\n- Aggrega tion functionality\n- Basics of replication\n- Basics of sharding\n\n### S peaker bio\n\nDr. Edouard Servan-Schreiber is Director for Solution Archit ecture at 10gen\, advising customers on how to make MongoDB make their bus iness simpler\, faster\, and better.\nPreviously\, Edouard was director fo r cross-channel analytics at Teradata\, leading projects in advanced analy tics and predictive modeling with customers in all heavily data-driven ind ustries such as telco\, retail\, finance\, high tech manufacturing.\nEdoua rd’s specialty is to help customers extract business value from their da ta through the effective use of technology and analytics.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 2 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/mongodb-an-overview-MS 1PirWpVx3zXNu5mYGtN7 BEGIN:VALARM ACTION:display DESCRIPTION:MongoDB: An Overview in Audi 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Finding order in the chaos : machine learning for web text analyti cs using R DTSTART:20130711T063000Z DTEND:20130711T080000Z DTSTAMP:20260421T123255Z UID:session/TbPaZeQQErycKsz6upXW7c@hasgeek.com SEQUENCE:2 CATEGORIES:Workshops,Beginner CREATED:20190705T045946Z DESCRIPTION:Do you get the feeling of ‘the cart before the horse’ on h earing buzz-words like social data mining or sentiment analysis and so on? Fundamental text mining methods are the real ‘workhorses’ behind thes e buzz-words. This workshop aims to give understanding of the fundamentals in ‘learning by doing’ fashion.\n\nInternet\, the information beast\ , largely consists of unstructured text form data. R environment provides excellent set of tools to deal with this. We will take up a realistic prob lem of finding topics in web-documents and touch upon a number of relevant machine learning methods using R.\n\nWe will also cover some relevant and interesting business problems which can be tackled using these methods.\n \n### Speaker bio\n\nAn avid R user\, I work on applying machine learning methods to the field of digital advertising\, @ Sokrati Inc. I have a prio r experience of applying these methods to telecom and banking sector probl ems. I hold a master's in Operations Research from IIT\, Mumbai.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 3 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/finding-order-in-the-c haos-machine-learning-for-web-text-analytics-using-r-TbPaZeQQErycKsz6upXW7 c BEGIN:VALARM ACTION:display DESCRIPTION:Finding order in the chaos : machine learning for web text ana lytics using R in Audi 3 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Data Analysis and Visualization using R DTSTART:20130711T090000Z DTEND:20130711T110000Z DTSTAMP:20260421T123255Z UID:session/NgqaSKfqJUfSH5qSBqDP5e@hasgeek.com SEQUENCE:2 CATEGORIES:Workshops,Intermediate CREATED:20190705T050019Z DESCRIPTION:The workshop will work on using R to uncover patterns\, anomal ies and insights in public data sets. The workshop will demonstrate on how to use R for statistics analysis using different modules and techniques. A significant part of the workshop will also be dedicated to visually expl oring patterns and anomalies in data using R modules such as ggplot2.\n\n# ## Speaker bio\n\nVinayak Hegde has been working with large scale data and analytics for several years for MNCs such as Inmobi and Akamai. He used R as a part of Marketplace team in Inmobi to improve Ad-serving relevance a nd performance. \n\nHis areas of expertise are data analytics and large sc ale networks . He is a polyglot and often works with multiple languages to build robust and scalable software systems.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 2 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/data-analysis-and-visu alization-using-r-NgqaSKfqJUfSH5qSBqDP5e BEGIN:VALARM ACTION:display DESCRIPTION:Data Analysis and Visualization using R in Audi 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Workshop: Learning ElasticSearch and using it to analyze Aadhaar's Public Datasets DTSTART:20130711T090000Z DTEND:20130711T110000Z DTSTAMP:20260421T123255Z UID:session/Tz2CVvrGLKui3yEYqR64w@hasgeek.com SEQUENCE:2 CATEGORIES:Workshops,Beginner CREATED:20190705T050035Z DESCRIPTION:ElasticSearch is a flexible and powerful open source\, distrib uted real-time search and analytics engine. This workshop is planned for b eginners and consists of two sections:\n\n* Learning ElasticSearch\n\nThis section covers the basics of ElasticSearch. Installation\, common configu ration options\, what are indexes\, documents\, type mappings\, aliases\, querying using curl\, tire and pyelasticsearch would be some of the topics covered.\n\n* Implementing all that into something useful\n\nThe Aadhaar project provides some publicly available data. The set is large enough to begin manipulating. We will be importing the dataset and trying to find if the oldest Indian is really 179 years old. Or\, any other interesting que ries we can come up with.\n\nThe intended take-away from the workshop is a deeper understanding of ElasticSearch and\, an appreciation of simple und erlying technologies that power the "Big Data" aspects. Plus\, you'll get to learn about queries - their cost and\, how to plan for the cheapest or\ , fastest maps.\n\n### Speaker bio\n\nAnurag works with Red Hat at their P une office. He's a part of Engineering Services group and loves to play wi th APIs.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 3 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/workshop-learning-elas ticsearch-and-using-it-to-analyze-aadhaars-public-datasets-Tz2CVvrGLKui3yE YqR64w BEGIN:VALARM ACTION:display DESCRIPTION:Workshop: Learning ElasticSearch and using it to analyze Aadha ar's Public Datasets in Audi 3 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Agility and Innovation vs IT: how new data platforms can overcome this neverending struggle DTSTART:20130712T044500Z DTEND:20130712T053000Z DTSTAMP:20260421T123255Z UID:session/H2nKrmAKnGeX6Wbt9hWYuL@hasgeek.com SEQUENCE:2 CATEGORIES:Storage and Databases,Intermediate CREATED:20190705T050146Z DESCRIPTION:IT organizations confront business champions and developers ab out the scale and number of their projects. \nDevelopers want the ability to get new applications and features up and running as fast as possible. A nd IT attempts to enforce a robust deployment process.\nThe core of the is sue is enabling a scalable data layer. Traditional RDBMS technology is enf orcing very strict data modeling practices in order to scale. Similarly\, traditional hardware deployment demands a very high upfront cost\, in term s of both time and expense. \nNoSQL technology and private cloud practices are enabling a deep shift towards deployments based on variable cost\, pr ivileging fast time to market and scalable growth. We will discuss some us e cases from 10gen-MongoDB to illustrate this pattern.\n\n### Speaker bio\ n\nDr. Edouard Servan-Schreiber is Director for Solution Architecture at 1 0gen\, advising customers on how to make MongoDB make their business simpl er\, faster\, and better.\nPreviously\, Edouard was director for cross-cha nnel analytics at Teradata\, leading projects in advanced analytics and pr edictive modeling with customers in all heavily data-driven industries suc h as telco\, retail\, finance\, high tech manufacturing.\n\nEdouard’s sp ecialty is to help customers extract business value from their data throug h the effective use of technology and analytics.\n\nEdouard began practici ng artificial intelligence and statistical learning models at Carnegie Mel lon University for his bachelor’s degree\, before going to UC Berkeley f or his PhD in Computer Science.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/agility-and-innovation -vs-it-how-new-data-platforms-can-overcome-this-neverending-struggle-H2nKr mAKnGeX6Wbt9hWYuL BEGIN:VALARM ACTION:display DESCRIPTION:Agility and Innovation vs IT: how new data platforms can overc ome this neverending struggle in Audi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Latency and Fault tolerance in OLTP @ 1.5 billion/day service call s DTSTART:20130712T060000Z DTEND:20130712T064500Z DTSTAMP:20260421T123255Z UID:session/C7WN3Qqxw86cS8j18Y25Ht@hasgeek.com SEQUENCE:2 CATEGORIES:Storage and Databases,Intermediate CREATED:20190705T050211Z DESCRIPTION:A good eCommerce web-site would serve millions of pages per da y with a fair mix of static and dynamic content per page. Services built o n SOA often serve the dynamic content and a request might depend on dozens of these services to render a single page and require MBs of data read fr om various data sources . Website availability and user experience is affe cted by latency variance and failures of these services. \nOne needs to wo rry about the 75th and 90th percentile response times and good Median and Mean responses just do not suffice. \n\nCompact protocols - Thrift\, Prot obuf\, Avro and Transports - TCP\, Http do not address latency variance or provide for fallbacks and graceful degradation. \n\nA number of design pa tterns and technologies may be used to stop cascading failures\, fail fast and recover rapidly. \n\nThis talk describes how Flipkart built smart Ser vice Proxies to handle this problem for apps and services running on a num ber of Platforms - PHP and JVM based\, Protocols - Custom\, Thrift\, JSON- REST\, Data Sources - SQL and NoSQL. The talk also covers database technol ogy selection for a number of use cases - MySQL\, Couchbase\, Redis \, inc luding HBase for serving on-line content. \n\nThe Flipkart Service Proxie s are built using technologies like [Netty](http://netty.io/)\, [Hystrix]( https://github.com/Netflix/Hystrix)\, [Trooper](https://github.com/regunat hb/Trooper) and is influenced by projects like [Finagle](https://github.co m/twitter/finagle).\n\nThe talk will also feature a demo of the Service Pr oxy. The links in this proposal also has slides on the Flipkart website te ch stack evolution. The actual talk will feature the next gen version of t he fk-w3-agent mentioned in the slides\n\n### Speaker bio\n\nRegunath is a n architect\, developer and mentor with a career span of 16 years. He is c urrently responsible for building long term\ntechnology vision across Cust omer Platform teams at Flipkart. Prior to Flipkart\, he was Chief Architec t at MindTree where he played a number of roles including leading an Archi tecture services group\, building IP based solutions and implementing larg e scale systems\; notable among them was architecting the Govt. of India's Aadhaar project - the world's largest biometric identity database.\n\nHe is passionate about Open Source and technology trends - recent ones are Bi g Data and deriving insights from Social Media. He has contributed to Open Source that is used in 90+ countries word-wide.\nRegunath has been an inv ited speaker in various technology forums such as HasGeek Fifth Elephant\, OSI days\, Microsoft Architecture Days\, iCMGWorld Architecture Summit an d others. Also blogs frequently and was a guest columnist for CIOUpdate.co m.\n\nMore about him at:\n[LinkedIn](http://in.linkedin.com/in/regunathb)\ n[Twitter](https://twitter.com/RegunathB)\n\nOSS projects:\n[Sift](https:/ /github.com/regunathb/Sift/ )\n[Trooper](https://github.com/regunathb/Troo per/ )\n[MindTreeInsight](http://sourceforge.net/projects/mindtreeinsight/ )\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/latency-and-fault-tole rance-in-oltp-1-5-billion-day-service-calls-C7WN3Qqxw86cS8j18Y25Ht BEGIN:VALARM ACTION:display DESCRIPTION:Latency and Fault tolerance in OLTP @ 1.5 billion/day service calls in Audi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Cloud based low cost\, low maintenance\, scalable data platform DTSTART:20130712T060000Z DTEND:20130712T064500Z DTSTAMP:20260421T123255Z UID:session/TAgwCVnmSMPeJeMY9r1Zxc@hasgeek.com SEQUENCE:2 CATEGORIES:Storage and Databases,Beginner CREATED:20190705T050224Z DESCRIPTION:Taming the big data beast involves collecting\, storing\, usin g and reusing it. In this section I'll try to explain how we at myntra hav e addressed these. Also in big data world storage and maintenance costs ar e biggest stumbling block\, I'll focus on how we've kept this to the minim um. I'll also give an overview on how are transactional systems are intera cting with the data platform.\n\nI'll talk about some of the technologies which we are using (primary being Amazon EMR\, Amazon S3\, Apache Kafka\, Twitter Finagle)\, why we chose them and how are they treating us.\n\nI'll also mention some of the business problems we are trying to solve like pe rsonalizing user experience on our website\, measuring the effectiveness o f marketing campaigns\, understanding the life cycle of any product etc. a nd how has the platform helped us.\n\n### Speaker bio\n\nI'm working as an Associate Architect in Myntra dot com\, India's largest online fashion st ore. I've been building web scale systems for nine years and have been wor king on NoSQL systems for two years now. I built a mongoDB based analytics engine which used to power our web analytics. Working on it I realized th e shortcomings of technologies which are not inherently distributed. I've also been the key member behind scaling and speeding up myntra's portal. W orking in a startup I've realized that biggest boon is time to market and biggest bane is maintenance overheard. I've tried to use these learning wh ile building this data platform.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 2 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/cloud-based-low-cost-l ow-maintenance-scalable-data-platform-TAgwCVnmSMPeJeMY9r1Zxc BEGIN:VALARM ACTION:display DESCRIPTION:Cloud based low cost\, low maintenance\, scalable data platfor m in Audi 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Analyzing Terabytes of Data with Google BigQuery DTSTART:20130712T064500Z DTEND:20130712T073000Z DTSTAMP:20260421T123255Z UID:session/VSudV2hs1tKcHpvi3rNkGT@hasgeek.com SEQUENCE:2 CATEGORIES:Analytics and Visualization,Beginner CREATED:20190705T050236Z DESCRIPTION:Google BigQuery is a product that allows you to do interactive analysis on very large data sets containing billions of rows using a subs et of SQL. We will give an introduction to Dremel and ColumnIO that allows us to do this extremely quick analysis. We will explain how this product can be used with a simple demonstration. We will also compare this to othe r Google products such as Google Cloud SQL.\n\n### Speaker bio\n\nChandram ouli Mahadevan leads the Site Reliability Engineering team at Google Banga lore. He has worked at Google Bangalore for the past 8 years in a variety of engineering roles on multiple products such as Google Transliteration\, Google News\, and Google Adwords. He received a B Tech and Ph.D in Comput er Science from IIT Bombay.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/analyzing-terabytes-of -data-with-google-bigquery-VSudV2hs1tKcHpvi3rNkGT BEGIN:VALARM ACTION:display DESCRIPTION:Analyzing Terabytes of Data with Google BigQuery in Audi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:HOWTO run a hadoop cluster on a laptop DTSTART:20130712T064500Z DTEND:20130712T073000Z DTSTAMP:20260421T123255Z UID:session/MJXSnLiqD6MmcJmThztwip@hasgeek.com SEQUENCE:2 CATEGORIES:Storage and Databases,Beginner CREATED:20190705T050246Z DESCRIPTION:Hadoop has nearly become synonymous with Big Data. And this is because of the large community that stands behind the project. But this i s a tough project to contribute to for someone who wants to work on hadoo p in their spare time.\n\nIn a short session over half-hour\, I want to sh are some of the convenience scripts I have accumulated over the last 6 mon ths\, which help me work with hadoop - at dev-scales. \n\nFor the purposes of a clean build env\, we will use an Ubuntu LXC container to isolate th e hadoop install from the rest of the system. \n\nThis provides the base c ontainer for your install\, which we can clone later for multiple nodes of the cluster.\n\nNow\, with the help of a few convenience scripts & pre-pa ckaged config files\, you can download hadoop\, build it and set up a sing le node cluster without much trouble.\n\nThis brings up a very brain-dead simple\, non-secure hadoop cluster - easily extensible to a few nodes easi ly.\n\nThe multiple node setup is only useful to debug node locality and s chedulers\, but for most of the HDFS/Hadoop development\, the single node cluster works wonders.\n\nAnd all that takes you from a clean laptop to ru nning a private hadoop instance\, that you can recompile & redeploy in sec onds. \n\nThe next step is contributing patches\, which is left as an exer cise to the reader.\n\n### Speaker bio\n\nGopal Vijayaraghavan is a late e ntry into the hadoop game\, having started working on it last year. Workin g with hadoop as part of the Stinger/Tez initiatives\, he has gathered a l ot of what used to be tribal knowledge in the hadoop community & discovere d that most of it has never been written down. Having been exposed to some of the secrets behind working on hadoop for profit\, he wants to share th at with people who want to do that for fun.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 2 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/howto-run-a-hadoop-clu ster-on-a-laptop-MJXSnLiqD6MmcJmThztwip BEGIN:VALARM ACTION:display DESCRIPTION:HOWTO run a hadoop cluster on a laptop in Audi 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:15 Billion value at risk computations in 187 milliseconds DTSTART:20130712T083000Z DTEND:20130712T091500Z DTSTAMP:20260421T123255Z UID:session/mCT9Z5B22xQEn3VAmJd2T@hasgeek.com SEQUENCE:2 CATEGORIES:Storage and Databases,Intermediate CREATED:20190705T050306Z DESCRIPTION:In the session we will present our learning and share with you about how we addressed following problems :\n1. Extreme parallel process ing in HBase? \n2. Network jam while aggregating Billions of records? \n 3. Disk latency? \nThe session will follow with an Demo session.\n\n### Sp eaker bio\n\nAbinasha Karana works as Director - Technology at Bizosys Tec hnologies. He is a committer of HSearch. His passion is "Real time nature of Big Data Computation". He has been a speaker at "Apache Hadoop India S ummit " \, "Microsofft TechEd - Hadoop on Azure Track"\, "Cloudera Bigdat a BigQuestions Event" and "Hadoop Track at IIT Mumbai \, Computer Science BTech Curriculum". Abinasha has 15 years of industry experience in the ar eas of Application Servers\, Search Technology\, Database Systems\, Inter net Applications\, Mobility and Data Integration Tools.\n\nAbinasha gradua ted in Engineering from NIT\, Rourkela. Prior to Bizosys\, he confounded D rapa Technologies. In his career with Infosys Technologies\, Bangalore\, h e was involved in various initiatives such as - starting the Infosys Mobil ity Solutions and Enterprise Search practice. One of his architected proje cts featured in the 2004 InfoWorld 100.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/15-billion-value-at-ri sk-computations-in-187-milliseconds-mCT9Z5B22xQEn3VAmJd2T BEGIN:VALARM ACTION:display DESCRIPTION:15 Billion value at risk computations in 187 milliseconds in A udi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Strategic advantages of MongoDB DTSTART:20130712T083000Z DTEND:20130712T091500Z DTSTAMP:20260421T123255Z UID:session/4c5ExaPNUWhsnQJwPdoP3f@hasgeek.com SEQUENCE:2 CATEGORIES:Storage and Databases,Intermediate CREATED:20190705T050317Z DESCRIPTION:This session will present the strategic advantages of MongoDB as an operational data store. I will discuss the range of use cases curren tly in production\, such as:\n- Content Management Store\n- User Profile M anagement\n- Product Catalog and Reference Data Store\n- High speed data s tore\n- Operational analytics.\n\n### Speaker bio\n\nDr. Edouard Servan-Sc hreiber is Director for Solution Architecture at 10gen\, advising customer s on how to make MongoDB make their business simpler\, faster\, and better .\nPreviously\, Edouard was director for cross-channel analytics at Terada ta\, leading projects in advanced analytics and predictive modeling with c ustomers in all heavily data-driven industries such as telco\, retail\, fi nance\, high tech manufacturing.\nEdouard’s specialty is to help custome rs extract business value from their data through the effective use of tec hnology and analytics.\nEdouard began practicing artificial intelligence a nd statistical learning models at Carnegie Mellon University for his bache lor’s degree\, before going to UC Berkeley for his PhD in Computer Scien ce.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 2 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/strategic-advantages-o f-mongodb-4c5ExaPNUWhsnQJwPdoP3f BEGIN:VALARM ACTION:display DESCRIPTION:Strategic advantages of MongoDB in Audi 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:SolrCloud and NoSQL DTSTART:20130712T091500Z DTEND:20130712T100000Z DTSTAMP:20260421T123255Z UID:session/4GGGVQGPXtfWBHAsGAsNJQ@hasgeek.com SEQUENCE:2 CATEGORIES:Storage and Databases,Intermediate CREATED:20190705T050329Z DESCRIPTION:With both NoSQL and Search both trying to add features that ha ve traditionally belonged to the others` domain\, where are they both head ed? Will one be victorious over the other or both finally provide a bridge to plug into the other?\n\nI'll speak about data stores and how does it c ompare to "Integrate search into a data store" vs "Doubling up a search en gine as the datastore".\n\n### Speaker bio\n\nEngineer at [LucidWorks](htt p://www.lucidworks.com). With almost 8 years of experience in search\, inf ormation retrieval and recommendation engines\, Anshum has been a part of the core Search team at Naukri.com and Cleartrip.\n\nAt Naukri\, he was on e of the core contributors and an architect for the JobSearch and ResumeSe arch (Resdex) platforms\, the largest resume database in India. He also de signed and developed the recommendation engine for Job Seekers.While at Cl eartrip\, he designed and developed the data aggregator and search for one of the most interesting travel products\, [SmallWorld](http://www.cleartr ip.com/smallworld). As a part of the core team that developed and launched the first AWS Search service\, CloudSearch he has experience with designi ng and developing a very large scale service.\n\nHe is now back to the ope n source world and is currently working with [LucidWorks](http://www.lucid works.com)\, the leading developer of search\, discovery and analytics sof tware based on Apache Lucene and [Apache Solr](http://lucene.apache.org/so lr/) technology.\n\nMore about him at: [LinkedIn](http://www.linkedin.com/ in/anshumgupta) [Twitter](https://twitter.com/anshumgupta)\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/solrcloud-and-nosql-4G GGVQGPXtfWBHAsGAsNJQ BEGIN:VALARM ACTION:display DESCRIPTION:SolrCloud and NoSQL in Audi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Neo4j Graphs: What\, When\, How DTSTART:20130712T091500Z DTEND:20130712T100000Z DTSTAMP:20260421T123255Z UID:session/M7Dwvro6TWJYEwpAvdWRHf@hasgeek.com SEQUENCE:2 CATEGORIES:Storage and Databases,Beginner CREATED:20190705T050341Z DESCRIPTION:Google's knowledge graph\, Facebook's graph search\, and even Amazon's recommendation engine are hugely successful applications of basic graph theory. We'll take a look at Neo4j\, the world's leading graph data base\, to understand what graphs offers and how to use them in real applic ations. \n\nWe'll start with a basic introduction to Neo4j and graph datab ases\, placing them in context of NOSQL and Big Data. Then we'll explore a few business use cases which illustrate different advantages of using gra phs. While we'll touch on some technical details\, the focus will be under standing what a graph database is\, when to use one\, and how it helps.\n\ nYou'll leave knowing how to identify a graph problem when you see one\, a nd be ready to do something about it.\n\n### Speaker bio\n\nWith NASA\, fo r the love of technology. Then Zambia\, using technology for social good. Now with Neo4j\, making the world a better place from a graph perspective. \n\nAndreas has been part of the Neo4j community since having his own grap h epiphany while working on medical informatics in Zambia. He joined as an early member of core engineering\, and has now taken on the role of Produ ct Experience Designer\, responsible for maturing that fantastic codebase into an industrial strength product.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 2 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/neo4j-graphs-what-when -how-M7Dwvro6TWJYEwpAvdWRHf BEGIN:VALARM ACTION:display DESCRIPTION:Neo4j Graphs: What\, When\, How in Audi 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Workflow Schedulers: The Heart Beat of a Big Data Stack DTSTART:20130712T103000Z DTEND:20130712T111500Z DTSTAMP:20260421T123255Z UID:session/DbGB42v7E5hVdbcKvJHcDZ@hasgeek.com SEQUENCE:2 CATEGORIES:Storage and Databases,Intermediate CREATED:20190705T050400Z DESCRIPTION:At Qubole\, we use Apache Oozie as the scheduler. I'll address which features are more important than others based on the usage of the S cheduler product in the Qubole platform. With an insight into the salient features\, I'll compare other open source schedulers such as Azkaban (Link edin)\, Luigi (Spotify) and Chronos (Airbnb). This information will provid e a platform for attendees to make more informed decisions on which of the se technologies to choose to schedule ETL and reporting processes on top o f Hadoop.\n\n### Speaker bio\n\nRajat Venkatesh is a developer at Qubole\, a company that provides data analysis tools on the cloud. He is responsib le for the Scheduler product at Qubole. Before Qubole\, he worked as a dat abase kernel developer at Vertica - a big data analytics platform.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/workflow-schedulers-th e-heart-beat-of-a-big-data-stack-DbGB42v7E5hVdbcKvJHcDZ BEGIN:VALARM ACTION:display DESCRIPTION:Workflow Schedulers: The Heart Beat of a Big Data Stack in Aud i 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:What Happens When Firefox Crashes? DTSTART:20130712T111500Z DTEND:20130712T120000Z DTSTAMP:20260421T123255Z UID:session/LpmmjMv3rYqxjrLaM7Exed@hasgeek.com SEQUENCE:2 CATEGORIES:Storage and Databases,Intermediate CREATED:20190705T050413Z DESCRIPTION:Receiving and organizing every Firefox crash in the world is a big job. Concurrency\, realtime constraints\, and a volume of data 110TB strong all contribute to the challenge of giving Firefox engineers what th ey need to find and squash browser bugs.\n\nFollow a Firefox crash from it s genesis in a collapsing browser process through the dizzying array of co llection\, storage\, and reporting systems that make up Socorro\, our open -source crash collector. Enjoy war stories of weird\, interlocking failure s\, and see how we nevertheless continue to fulfill our mandate: “Never lose a crash.”\n\n### Speaker bio\n\nErik Rose coordinates the impact of 108 spring-loaded buttons at Mozilla\, venting a byproduct of static anal ysis\, search\, and pattern-finding software. His past selves have done re altime fuzzy matching against the corpus of U.S. voters at Votizen\, cause d the Django community's tests to run in funny orders\, written a book abo ut Zope and Plone\, and released a bevy of eclectic Python libraries. When not speaking or coding\, Erik retreats to his volcanic fortress in the wi lds of North Carolina\, where he discusses formal language theory with his dog\, Max.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/what-happens-when-fire fox-crashes-LpmmjMv3rYqxjrLaM7Exed BEGIN:VALARM ACTION:display DESCRIPTION:What Happens When Firefox Crashes? in Audi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Extracting consumer trends in real time using 100 billion tweets. DTSTART:20130713T044500Z DTEND:20130713T053000Z DTSTAMP:20260421T123255Z UID:session/VbrBbjGdBFy2F6ChVrz5aY@hasgeek.com SEQUENCE:2 CATEGORIES:Analytics and Visualization,Intermediate CREATED:20190705T050428Z DESCRIPTION:We will outline a system to extract volume\, sentiment\, geo t rends and related words about any arbitrary topic (defined as a boolean qu ery) from a corpus on 100B tweets increasing at ~500M a day.\n\n### Speake r bio\n\nPankaj Risbood is Director of Engineering at @WalmartLabs where h e leads social media analytics effort. Prior to @WalmartLabs Pankaj spent 6 years at Google leading various efforts in cloud computing\, enterprise and speech processing. He was Member of Tech Staff at Bell Labs where he s pecialized in optical and IP networking. Pankaj has co-authored 16 issued patents and several research papers in premier conferences. An alumnus of IISc\, Pankaj is a avid hiker and a marathon runner.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/extracting-consumer-tr ends-in-real-time-using-100-billion-tweets-VbrBbjGdBFy2F6ChVrz5aY BEGIN:VALARM ACTION:display DESCRIPTION:Extracting consumer trends in real time using 100 billion twee ts. in Audi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY: Evaluating SSD Performance for Databases Handling Real-Time Big D ata DTSTART:20130713T044500Z DTEND:20130713T053000Z DTSTAMP:20260421T123255Z UID:session/Sj1XNuw3bTtK9MYprPZNps@hasgeek.com SEQUENCE:2 CATEGORIES:Storage and Databases,Intermediate CREATED:20190705T050437Z DESCRIPTION:Unprecedented volumes of structured and unstructured data are being generated at high velocity via sensors\, and Web\, social and mobile interactions. This is giving rise to new applications that respond immedi ately to what people\, devices and systems are doing now. Increasingly\, t he developers of these applications are turning to a combination of SSD st orage and NoSQL databases to deliver highly relevant\, high-value data and actionable insights in milliseconds. However\, not all SSDs are equal whe n it comes to database performance. In this session\, Brian Bulkowski will discuss how he developed the open source ACT tool to evaluate SSD drive p erformance in handling large-scale\, real-time database loads\; how severa l popular SSD drives have performed on the ACT benchmark\; and how develop ers can use the ACT benchmark to evaluate SSDs for their own high-velocity big data demands.\n\n### Speaker bio\n\nBrian Bulkowski\, founder and CTO of Aerospike Inc. has 20-plus years experience designing\, developing and tuning networking systems and high-performance Web-scale infrastructures. He founded Aerospike after learning first hand\, the scaling limitations of sharded MySQL systems at Aggregate Knowledge as director of performance at this media intelligence SaaS company. Brian developed the open source Aerospike Certification Tool (ACT) to evaluate the performance of flash-ba sed SSDs in supporting database functions after existing tools proved to b e unreliable predictors of how well SSDs would support the Aerospike real- time database in real-world deployments. Today\, ACT is used both by enter prise IT teams to determine which SSDs to deploy with their databases\, an d by storage providers to help tune their SSDs for enterprise database dem ands. Previously\, Brian also has served as a founding member of the digit al TV team at Navio Communications\, chief architect of Cable Solutions at Liberate Technologies\, and lead engineer at Novell.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 2 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/evaluating-ssd-perform ance-for-databases-handling-real-time-big-data-Sj1XNuw3bTtK9MYprPZNps BEGIN:VALARM ACTION:display DESCRIPTION: Evaluating SSD Performance for Databases Handling Real-Time B ig Data in Audi 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Building large scale Analytics Platform DTSTART:20130713T060000Z DTEND:20130713T064500Z DTSTAMP:20260421T123255Z UID:session/PSrevMbJ5xcD8jfCGYUzKJ@hasgeek.com SEQUENCE:2 CATEGORIES:Analytics and Visualization,Intermediate CREATED:20190705T050449Z DESCRIPTION:I will start with a brief introduction to Media IQ\, the world of online display advertising and the business need for a big data platfo rm. I will then go into the options we considered and the current technolo gy stack and infrastructure that we have the platform on. I will give an o verview of our data pipeline\, the technologies we are using - S3\, Elasti c MapReduce\, Hadoop/Hive and the components that we built to put it all t ogether. I will then talk about batch processing vs AdHoc Querying\, give some perspective from the users of our platform and why we had to evolve t he platform to facilitate these two kinds of querying. I will talk about o ur experience with Amazon's Redshift\, HBase and will also give a sense of costs (storage\, processing) vs performance (querying/processing times) a nd the trade-offs\n\n### Speaker bio\n\nPrabhu heads the technology team a t MEDIA iQ Digital\, who are the next generation digital advertising tradi ng specialists. He has over a decade of experience in the software industr y and has designed and developed high performing large scale backend platf orms and complex enterprise applications. Prior to MEDIA iQ\, he was at Do w Jones where he built an extensive and scalable search platform\, that wa s handling more than a billion documents.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/building-large-scale-a nalytics-platform-PSrevMbJ5xcD8jfCGYUzKJ BEGIN:VALARM ACTION:display DESCRIPTION:Building large scale Analytics Platform in Audi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:MapReduce and the "Art of Thinking Parallel" DTSTART:20130713T060000Z DTEND:20130713T064500Z DTSTAMP:20260421T123255Z UID:session/GyvyHFeFjQwoLMMco5asj1@hasgeek.com SEQUENCE:2 CATEGORIES:Analytics and Visualization,Advanced CREATED:20190705T050500Z DESCRIPTION:MapReduce is a ubiquitously used framework for largescale numb er crunching in BigData analytics. While it is quite general\, it is not u niversal. There are a lot of analytics problems that cannot be ported to t he MapReduce framework "naturally" (e.g. finding similarity between all pa irs of documents in their Bag-of-Words representation). \n\nIn this talk\, through a series of such problems\, we will highlight both the limitation s of MapReduce and how to overcome those limitations by being "smart" abou t "transforming those problems" to be more "amenable to MapReduce".\n\nAs a concrete example we will develop an end-to-end solution in MapReduce for a very important and NP-hard Graph Theory problem - finding all Maximal C liques in a graph.\n\n### Speaker bio\n\nDr. Shailesh Kumar is a Member of Technical Staff at Google\, Hyderabad where he works on large scale data mining problems for various Google products. Prior to joining Google\, he has worked as a Principal Dev. Manager at Microsoft (Bing) Hyderabad\, Sr. Scientist at Yahoo! Labs Bangalore\, and Principal Scientist at Fair Isaa c Research in San Diego\, USA.\n\nDr. Kumar has over fifteen years of expe rience in applying and innovating machine learning\, statistical pattern r ecognition\, and data mining algorithms to hard prediction problems in a w ide variety of domains including information retrieval\, web analytics\, t ext mining\, computer vision\, retail data mining\, risk and fraud analyti cs\, remote sensing\, and bioinformatics. He has published over 20 confere nce papers\, journal papers\, and book chapters and holds over a dozen pat ents in these areas.\n\nHe has two keen passions - first creating "magic f rom data" and second understanding functionally how the brain works!\n\nDr . Kumar received his PhD in Computer Engineering in 2000 (with a specializ ation in statistical pattern recognition and data mining) and Masters in C omputer Science in 1997 (with a specialization in artificial intelligence and machine learning)\, both from the University of Texas at Austin\, USA. He received his B.Tech. in Computer Science and Engineering from the Inst itute of Technology\, Banaras Hindu University in 1995.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 2 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/mapreduce-and-the-art- of-thinking-parallel-GyvyHFeFjQwoLMMco5asj1 BEGIN:VALARM ACTION:display DESCRIPTION:MapReduce and the "Art of Thinking Parallel" in Audi 2 in 5 mi nutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Analytics using Hadoop ecosystem on AWS DTSTART:20130713T064500Z DTEND:20130713T073000Z DTSTAMP:20260421T123255Z UID:session/VuLK8qoGM4CMekCAmw8wQh@hasgeek.com SEQUENCE:2 CATEGORIES:Workshops,Intermediate CREATED:20190705T050544Z DESCRIPTION:Organizations who want to perform analytics in the AWS Cloud n eed to figure out the following:\nHow do we get our log data sets into the cloud (AWS S3)?\nHow do we import data to Amazon S3 from on-premise or on -cloud databases such as mysql\, mongodb or postgres?\nDo I need a persist ent Hadoop Cluster? How do I setup the system so that multiple users withi n the organization can run M/R\, Pig or Hive commands?\nWhat are the best practices for organizing data on S3 for long term storage and query?\nWhat about security? What are the security risks of doing analytics in the clo ud?\nWhat about cost?\nWhat is the role of Hadoop versus traditional data warehouses like Vertica and AWS Redshift? What about data visualization?\n How I do build reports using this infrastructure and where do i host them? \nWe will layout some common design patterns and alternatives for these qu estions. For some of the questions - we may highlight features in the Qubo le platform - and similarly where we go through live examples - we maybe u sing Qubole Data Service.\nAfter this workshop\, attendees will be better informed on the process to get data analytics up and running on AWS.\n\n## # Speaker bio\n\nRajat Venkatesh is a engineer at Qubole and has experienc e in all aspects of helping users analyze their data on AWS. Before Qubol e\, he worked as a database kernel developer at Vertica - a big data analy tics platform.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/analytics-using-hadoop -ecosystem-on-aws-VuLK8qoGM4CMekCAmw8wQh BEGIN:VALARM ACTION:display DESCRIPTION:Analytics using Hadoop ecosystem on AWS in Audi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Visualising networks DTSTART:20130713T083000Z DTEND:20130713T091500Z DTSTAMP:20260421T123255Z UID:session/XXLJRkE8NmNzdUSnPYMrz2@hasgeek.com SEQUENCE:2 CATEGORIES:Analytics and Visualization,Intermediate CREATED:20190705T050557Z DESCRIPTION:Network structures are everywhere: in social media\, telecom\, airports\, banking\, as well as a number of somewhat unusual places: frau dulent tea auctions\, examination halls\, and works of fiction.\n\nWe'll s tart with traditional hierarchical and node-link visuals\, but a number of new techniques have emerged over the last few years -- such as attribute- driven layouts\, pivot graphs\, grouped means\, etc.\n\nYou'll see example s of these applied to real-life datasets\, and the stories that these tell .\n\n### Speaker bio\n\nAnand is a data scientist at Gramener\, a data vis ualisation company.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/visualising-networks-X XLJRkE8NmNzdUSnPYMrz2 BEGIN:VALARM ACTION:display DESCRIPTION:Visualising networks in Audi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Similar entity detection in large data DTSTART:20130713T083000Z DTEND:20130713T091500Z DTSTAMP:20260421T123255Z UID:session/QmnBAJ6ihJm9kWAudd3Zyp@hasgeek.com SEQUENCE:2 CATEGORIES:Analytics and Visualization,Intermediate CREATED:20190705T050608Z DESCRIPTION:One of the fundamental issues across industries is the presenc e of many similar entities but registered under different names. For examp le different groups of insurance companies offer different policies to sam e customers. In the systems these policies are registered under different customer ids. This leads to multiple issues including - Inability to cros s / up sell\, Identify any fraudulent claim patterns \, etc. Same is the case in banks where same customer could be making different loan requests under different names. This presentation is based on our experiences with Similar entity detection in Big Data. It will speak about \n 1. What is similar entity detection \n 2. Where is the need for this \n3. Techniques for similar entity detection and their applicability \n4. Supe rvised \, unsupervised and continuous learning modes\n5. Use of Semantic techniques\n6. Implementation Challenges\nHandling large data\, Handling large number of comparisons\, How to relate similar entities\n7. Sample r esults of our experiments\n\nThe above is the outline of what I intend to cover. There would enough time for questions and answers \, however if yo u would like something more to be covered do post a comment and I will see how it can be incorporated.\n\n### Speaker bio\n\n• Arthi Venkataraman has > 16.5 years of experience in the design\, development and testing of projects in different domains\n• She is currently a Senior Architect i n the Chief Technology Office of Wipro Technologies\n• Her current role involves solution development for different business problems spanning t he area of Big Data\, Machine Learning and Semantics Technologies\n• S he has a B.E Degree in Computer Science from University Visvesvariah Colle ge of Engineering\, Bangalore and an MBA (PGDSM) from IIM\, Bangalore. She is also a PMP.\n• She has previously presented papers and spoken at oth er international conferences\nThis presentation is based on Arthi's experi ence in area of Similar entity identification\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 2 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/similar-entity-detecti on-in-large-data-QmnBAJ6ihJm9kWAudd3Zyp BEGIN:VALARM ACTION:display DESCRIPTION:Similar entity detection in large data in Audi 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Interactive analysis of data live\, using Pandas\, Matplotlib and IPython DTSTART:20130713T091500Z DTEND:20130713T100000Z DTSTAMP:20260421T123255Z UID:session/RvyHR3SmMUoJ6HP77mNeow@hasgeek.com SEQUENCE:2 CATEGORIES:Analytics and Visualization,Beginner CREATED:20190705T050622Z DESCRIPTION:One of the data sets that is going to be the used is the datas et parsed from usesthis.com: The hardware and software used by people to g et their work done. (permission for the same from the site owner has been obtained.)\n\nThe audience is going to be a part of the whole process of p arsing it and converting it into numpy arrays whereupon it can be analysed to find various answers.\n\nAnother dataset would be the names of people in the US social security database since 1880 with 3 million published nam e records.\n\n### Speaker bio\n\nThe speaker has been working on Python fo r years and SciPy tools have always interested him. Recently he took the t ime to dive into it and has been pleased with what he learnt so far\, whic h he can't wait to share!\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/interactive-analysis-o f-data-live-using-pandas-matplotlib-and-ipython-RvyHR3SmMUoJ6HP77mNeow BEGIN:VALARM ACTION:display DESCRIPTION:Interactive analysis of data live\, using Pandas\, Matplotlib and IPython in Audi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Julia: A fresh approach to technical computing and data science DTSTART:20130713T091500Z DTEND:20130713T100000Z DTSTAMP:20260421T123255Z UID:session/YUPYKfyn3RfTsQeSpVgUKJ@hasgeek.com SEQUENCE:2 CATEGORIES:Analytics and Visualization,Beginner CREATED:20190705T050628Z DESCRIPTION:Julia provides a sophisticated compiler\, distributed parallel execution\, numerical accuracy\, and an extensive mathematical function l ibrary. The library\, largely written in Julia itself\, also integrates ma ture\, best-of-breed C and Fortran libraries for linear algebra\, random n umber generation\, signal processing\, and string processing. Performance of Julia programs is often within a factor of two of C programs and in man y cases as good as good as C. This obviates the need to write computationa l kernels in C or Fortran and leads to higher programmer productivity. The base julia repository has received contributions from over 135 contribut ors. In addition\, the Julia developer community has contributed over 125 external packages through Julia’s built-in package manager.\n\n### Speak er bio\n\nI am one of the co-creators of the Julia programming language\, along with Jeff Bezanson\, Stefan Karpinski\, and Alan Edelman.\n\nMy Link edIn profile is provided in the links below.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 2 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/julia-a-fresh-approach -to-technical-computing-and-data-science-YUPYKfyn3RfTsQeSpVgUKJ BEGIN:VALARM ACTION:display DESCRIPTION:Julia: A fresh approach to technical computing and data scienc e in Audi 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:A Billion Snapshots- Principles and Processes in the Census of Ind ia DTSTART:20130713T103000Z DTEND:20130713T111500Z DTSTAMP:20260421T123255Z UID:session/T2FYoTbbKPpo75rHrBTx9x@hasgeek.com SEQUENCE:2 CATEGORIES:Analytics and Visualization,Beginner CREATED:20190705T050639Z DESCRIPTION:The Census of India 2011 is unmatched across in world not only in the size of the population covered\, but also the quantity of data acr oss various demographic dimensions collected per person. The session expla ins the basic principles of Census taking in India\, which ensure quality results\; how those principles were applied in process and design decision s\, and how these decisions were implemented. It ends with a brief discuss ion of released Census results to date and their analysis and utility.\n\n ### Speaker bio\n\nVarsha Joshi is an IAS officer from the Union Territori es Cadre\, 1995 batch. She is presently Director Census Delhi as well as D irector in the office of the Registrar General of India. She has conducted the Census of India 2011 for the NCT of Delhi.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/a-billion-snapshots-pr inciples-and-processes-in-the-census-of-india-T2FYoTbbKPpo75rHrBTx9x BEGIN:VALARM ACTION:display DESCRIPTION:A Billion Snapshots- Principles and Processes in the Census of India in Audi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Unlocking the Potential of Data for Everyday Developers and Produc t Managers DTSTART:20130713T103000Z DTEND:20130713T111500Z DTSTAMP:20260421T123255Z UID:session/GGxt4f8PvASKHuQ5DWqUj8@hasgeek.com SEQUENCE:2 CATEGORIES:Analytics and Visualization,Intermediate CREATED:20190705T050648Z DESCRIPTION:An introduction to instrumenting the application on both the c lient and server for better visibility into the application behaviour in p roduction environments\, and exploring the various tools that enable you t o build cheap/reliable monitoring into your application. \n\nThe Talk will touch some of the following areas : \n\n1. Why analyse everything? \n2. I ntroduction to Etsy' StatsD (https://github.com/etsy/statsd) and Graphite. \n3. Instrumenting Applications\, and what to Instrument and what not to Instrument. \n4. Real time vs Delayed Analytics. \n5. Visualisation of the Collected Metrics\, and exploring a few opensource and commercial visuali sation solutions. \n6. Unlocking the Potential of Data. Use Cases and Succ ess Stories.\n\n### Speaker bio\n\nI'm the Performance Guy at PayPal India (eBay Inc.)\, building Performance as a key attribute into the Next Genera tion of PayPal's presence on the Web.\n\nIn my free time I dabble with Web Frameworks\, researching on the various things that go into making applic ations fast and responsive.\n\nPreviously Spoke at MetaRefresh 2012 on Bui lding High Performance Web Applications. \n\nI also occasionally blog at h ttp://karthik.kastury.in/\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 2 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/unlocking-the-potentia l-of-data-for-everyday-developers-and-product-managers-GGxt4f8PvASKHuQ5DWq Uj8 BEGIN:VALARM ACTION:display DESCRIPTION:Unlocking the Potential of Data for Everyday Developers and Pr oduct Managers in Audi 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Co-occurrence Analytics: A versatile framework for finding interes ting needles in crazy haystacks! DTSTART:20130713T111500Z DTEND:20130713T120000Z DTSTAMP:20260421T123255Z UID:session/5wHnv1cvvm6SDTFjr1mYMf@hasgeek.com SEQUENCE:2 CATEGORIES:Analytics and Visualization,Advanced CREATED:20190705T050709Z DESCRIPTION:Most data around us can be thought of as "things co-occurring with other things in certain contexts". Whether it is products co-occurrin g with other products in retail market baskets\, words occurring before or after other words in unstructured text\, tags co-occurring with other tag s in social tagging systems\, people co-occurring with other people in var ious social networking scenarios\, or objects occurring in various 2-D geo metrical juxtapositions of other objects in images\, etc. \n\nWhile there have been silos of efforts in each research community - retail\, text\, so cial networking\, and vision\, etc. - in dealing with "their" data\, there has been no unifying framework to tame such a wide variety of co-occurren ce data systematically - a theme for this session.\n\nWe will present a si mple\, intuitive\, yet a powerful co-occurrence analytics framework to dea l with a wide variety of data of the form "things co-occurring with other things in some context". After describing the framework we will demonstrat e how to adapt and apply the core principles of the framework to a variety of large real-world datasets to find novel and actionable insights even i n the presence of significant noise in the data.\n\nWhat makes this approa ch attractive is that it is:\n\n(1) Unsupervised: No cost of getting label ed data. Just point it to the data and crunch.\n\n(2) Unbiased: No prior a ssumptions about data distributions\, etc.\n\n(3) High Precision: Generate s very high quality insights.\n\n(4) High Recall: Generates exhaustively m any insights.\n\n(5) Parameter Poor: Very few parameters to play with.\n\n (6) Scaleable: Highly parallelizable in MapReduce sense.\n\n### Speaker b io\n\nDr. Shailesh Kumar is a Member of Technical Staff at Google\, Hydera bad where he works on large scale data mining problems for various Google products. Prior to joining Google\, he has worked as a Principal Dev. Mana ger at Microsoft (Bing) Hyderabad\, Sr. Scientist at Yahoo! Labs Bangalore \, and Principal Scientist at Fair Isaac Research in San Diego\, USA. \n\n \nDr. Kumar has over fifteen years of experience in applying and innovatin g machine learning\, statistical pattern recognition\, and data mining alg orithms to hard prediction problems in a wide variety of domains including information retrieval\, web analytics\, text mining\, computer vision\, r etail data mining\, risk and fraud analytics\, remote sensing\, and bioinf ormatics. He has published over 20 conference papers\, journal papers\, an d book chapters and holds over a dozen patents in these areas.\n\nHe has t wo keen passions - first creating "magic from data" and second understandi ng functionally how the brain works!\n \nDr. Kumar received his PhD in Com puter Engineering in 2000 (with a specialization in statistical pattern re cognition and data mining) and Masters in Computer Science in 1997 (with a specialization in artificial intelligence and machine learning)\, both fr om the University of Texas at Austin\, USA. He received his B.Tech. in Com puter Science and Engineering from the Institute of Technology\, Banaras H indu University in 1995.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 2 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/co-occurrence-analytic s-a-versatile-framework-for-finding-interesting-needles-in-crazy-haystacks -5wHnv1cvvm6SDTFjr1mYMf BEGIN:VALARM ACTION:display DESCRIPTION:Co-occurrence Analytics: A versatile framework for finding int eresting needles in crazy haystacks! in Audi 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Smart Analytics in Smartphones DTSTART:20130713T111500Z DTEND:20130713T120000Z DTSTAMP:20260421T123255Z UID:session/MBqyKdGo6qRDCFwSSeCd2Q@hasgeek.com SEQUENCE:2 CATEGORIES:Analytics and Visualization,Intermediate CREATED:20190705T050729Z DESCRIPTION:Current smartphones are having quad/octa -core processors alon g with more than ten sensors. Using these sensors large number of data is collected and processed. This data explosion opens up classical debate – How much data processing should be performed in device vs. server? In thi s talk\, I would like to discuss my thoughts and findings on this question along with other interesting questions on performing “Smart Analytics ”. Smart Analytics is a form of data mining and machine learning that ca n be done in Smartphones with specific use cases in mind. I will discuss m y findings with an example of performing activity recognition in smartphon es. Activity recognition uses smartphone’s accelerometer sensor values t o detect physical activity of the user e.g. running\, jogging\, walking\, sitting\, climbing up/down. I will show the results on few datasets using machine learning techniques.\n\n### Speaker bio\n\nCurrently I am working as a Senior Data Scientist in Samsung Research India-Bangalore. I enjoy in applying data mining and machine learning in real world applications. My detailed profile is available at LinkedIn. \nhttp://in.linkedin.com/pub/s atnam-singh-phd/2/349/347\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2013/schedule/smart-analytics-in-sma rtphones-MBqyKdGo6qRDCFwSSeCd2Q BEGIN:VALARM ACTION:display DESCRIPTION:Smart Analytics in Smartphones in Audi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT END:VCALENDAR