The Fifth Elephant 2014

A conference on big data and analytics

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

Theme

  1. Data Collection and Transport – for e.g, Opendatatoolkit, Scribe, Kafka, RabbitMQ, etc.

  2. 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).

  3. Data Processing, Querying and Analysis – Oozie, Azkaban, scikit-learn, Mahout, Impala, Hive, Tez, etc.

  4. Real-time analytics

  5. Opportunity analytics

  6. Big data and security

  7. Big data and internet of things

  8. 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.

Videos

See all
HasGeek-Nexus powered panel on "Real-time analytics – technologies of today, for tomorrow"

HasGeek-Nexus powered panel on "Real-time analytics – technologies of today, for tomorrow"

1 hour26 July 2014
The ART of Data Mining - Practical Learnings from Real-world Data Mining applications

The ART of Data Mining - Practical Learnings from Real-world Data Mining applications

Shailesh Kumar

1 hour26 July 2014
Experimentation to Productization : developing a Dynamic Bidding system for a location aware Mobile landscape

Experimentation to Productization : developing a Dynamic Bidding system for a location aware Mobile landscape

Ekta Grover

43 minutes26 July 2014
Real Time User-Scoring for Bidding in Display Retargeting

Real Time User-Scoring for Bidding in Display Retargeting

Ambuj Singh

23 minutes26 July 2014
Apache Tez: Accelerating Hadoop Data Pipelines

Apache Tez: Accelerating Hadoop Data Pipelines

t3rmin4t0r

46 minutes26 July 2014

Venue

NIMHANS Convention Centre

Dairy Circle

Bangalore

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