Jul 2014
21 Mon
22 Tue
23 Wed 09:30 AM – 05:00 PM IST
24 Thu 09:45 AM – 05:00 PM IST
25 Fri 08:30 AM – 07:15 PM IST
26 Sat 08:30 AM – 07:15 PM IST
27 Sun
In 2014, infrastructure components such as Hadoop, Berkeley Data Stack and other commercial tools have stabilized and are thriving. The challenges have moved higher up the stack from data collection and storage to data analysis and its presentation to users. The focus for this year’s conference on analytics – the infrastructure that powers analytics and how analytics is done.
Talks will cover various forms of analytics including real-time and opportunity analytics, and technologies and models used for analyzing data.
Proposals will be reviewed using 5 criteria:
Domain diversity – proposals will be selected from different domains – medical, insurance, banking, online transactions, retail. If there is more than one proposal from a domain, the one which meets the editorial criteria will be chosen.
Novelty – what has been done beyond the obvious.
Insights – what insights does the proposal share with the audience that they did not know earlier.
Practical versus theoretical – we are looking for applied knowledge. If the proposal covers material that can be looked up online, it will not be considered.
Conceptual versus tools-centric – tell us why, not how. Tell the audience what was the philosophy underlying your use of an application, not how an application was used.
Presentation skills – proposer’s presentation skills will be reviewed carefully and assistance provided to ensure that the material is communicated in the most precise and effective manner to the audience.
Tickets: http://fifthel.doattend.com
Website: https://fifthelephant.in/2014
For queries about proposals / submissions, write to info@hasgeek.com
Data Collection and Transport – for e.g, Opendatatoolkit, Scribe, Kafka, RabbitMQ, etc.
Data Storage, Caching and Management – Distributed storage (such as Gluster, HDFS) or hardware-specific (such as SSD or memory) or databases (Postgresql, MySQL, Infobright) or caching/storage (Memcache, Cassandra, Redis, etc).
Data Processing, Querying and Analysis – Oozie, Azkaban, scikit-learn, Mahout, Impala, Hive, Tez, etc.
Real-time analytics
Opportunity analytics
Big data and security
Big data and internet of things
Data Usage and BI (Business Intelligence) in different sectors.
Please note: the technology stacks mentioned above indicate latest technologies that will be of interest to the community. Talks should not be on the technologies per se, but how these have been used and implemented in various sectors, enterprises and contexts.
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Chirag Gehlot
@chiraggehlot
Submitted Feb 3, 2014
d3.js is a very complex library with a lot of functionality. That said, there are a lot of ready examples available on the Internet, which in turn promotes a culture of copy-paste-code. Hence, one ends up seeing recurring themes of the same charts - Sankey, Chord, Matrix, Force layout, etc. repeatedly. The objective of this workshop help a d3 developer truly harness the power of d3.js to make custom visualisations.
Example: One of our client came to us with a list of 20-30 data points that they wanted to visualise. Instead of trying to forcefully fit them into any existing d3 chart, we conceptualised, designed and developed a custom d3 chart called as River Chart.
The idea of the talk to take a business problem and build a custom visualization from scratch. It will include advanced topics like:
Chirag works as a Data Artist at Pykih. He uses d3.js, along with other Javascript frameworks like Underscore, Backbone, etc. to build complex and interactive visualisations for enterprise clients. Chirag has also contributed to PykCharts, Pykih’s open-source, resusable d3 library. Prior to joining Pykih, Chirag ran his own boutique web development business. Some of his work is at Pykih. You can follow him at @pykih.
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