The Fifth Elephant 2017
On data engineering and application of ML in diverse domains
Jul 2017
24 Mon
25 Tue
26 Wed
27 Thu 08:15 AM – 10:00 PM IST
28 Fri 08:15 AM – 06:25 PM IST
29 Sat
30 Sun
##Theme and format
The Fifth Elephant 2017 is a four-track conference on:
The Fifth Elephant is a conference for practitioners, by practitioners.
Talk submissions are now closed.
You must submit the following details along with your proposal, or within 10 days of submission:
##About the conference
This year is the sixth edition of The Fifth Elephant. The conference is a renowned gathering of data scientists, programmers, analysts, researchers, and technologists working in the areas of data mining, analytics, machine learning and deep learning from different domains.
We invite proposals for the following sessions, with a clear focus on the big picture and insights that participants can apply in their work:
##Selection Process
We will notify you if we move your proposal to the next round or reject it. A speaker is NOT confirmed for a slot unless we explicitly mention so in an email or over any other medium of communication.
Selected speakers must participate in one or two rounds of rehearsals before the conference. This is mandatory and helps you to prepare well for the conference.
There is only one speaker per session. Entry is free for selected speakers.
##Travel grants
Partial or full grants, covering travel and accomodation are made available to speakers delivering full sessions (40 minutes) and workshops. Grants are limited, and are given in the order of preference to students, women, persons of non-binary genders, and speakers from Asia and Africa.
##Commitment to Open Source
We believe in open source as the binding force of our community. If you are describing a codebase for developers to work with, we’d like for it to be available under a permissive open source licence. If your software is commercially licensed or available under a combination of commercial and restrictive open source licences (such as the various forms of the GPL), you should consider picking up a sponsorship. We recognise that there are valid reasons for commercial licensing, but ask that you support the conference in return for giving you an audience. Your session will be marked on the schedule as a “sponsored session”.
##Important Dates:
##Contact
For more information about speaking proposals, tickets and sponsorships, contact info@hasgeek.com or call +91-7676332020.
Hosted by
Nishant Bangarwa
@nishantbangarwa
Submitted Jun 7, 2017
Druid is an open-source analytics data store designed for business inteligence OLAP queries on timeseries data. Druid provides low latency real-time data ingestion, flexible data exploration and fast data aggregation. Many organizations have deployed Druid to analyze ad-tech, dev-ops, network traffic, website traffic, finance, sensor and IOT data.
Druid’s strong points are very compelling but there are some important features like large joins and full SQL support. This talk will present how Druid and Apache Hive can be used together to index large amounts of data and query Druid data sources from Hive using SQL, and execute complex Hive queries on top of Druid data sources. We will walk through the architecture of the solution leveraging Apache Calcite to overcome the challenge of transparently generating Druid JSON queries from the input Hive SQL queries. We conclude with a demo highlighting the performant and powerful integration of these projects.
Introduction to HIVE and Druid
Why HIVE + Druid
Architecture
Demo
performance results
Nishant is Druid PMC member and Software Engineer at Hortonworks. He is part of Business Intelligence team at Hortonworks. Prior to that he was part of Metamarkets backend team and was responsible for analytics infrastructure, including real-time analytics in Druid. He holds a B.Tech in Computer Science from National Institute of Technology, Kurukshetra, India.
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