What are your users doing on your website or in your store? How do you turn the piles of data your organization generates into actionable information? Where do you get complementary data to make yours more comprehensive? What tech, and what techniques?
The Fifth Elephant is a two day conference on big data.
Early Geek tickets are available from fifthelephant.doattend.com.
The proposal funnel below will enable you to submit a session and vote on proposed sessions. It is a good practice introduce yourself and share details about your work as well as the subject of your talk while proposing a session.
Each community member can vote for or against a talk. A vote from each member of the Editorial Panel is equivalent to two community votes. Both types of votes will be considered for final speaker selection.
It’s useful to keep a few guidelines in mind while submitting proposals:
Describe how to use something that is available under a liberal open source license. Participants can use this without having to pay you anything.
Tell a story of how you did something. If it involves commercial tools, please explain why they made sense.
Buy a slot to pitch whatever commercial tool you are backing.
Speakers will get a free ticket to both days of the event. Proposers whose talks are not on the final schedule will be able to purchase tickets at the Early Geek price of Rs. 1800.
Hands-on introduction to Pig
- Pig is a high-level platform for creating MapReduce programs used with Hadoop for analyzing Big Data.
- This is a 2 hour workshop on intro to Pig.
- Workshop aims at live-coding introductory session for analyzing Big Data using Pig.
This workshop will include discussion on:
- Basics of Hadoop
- Basics of Pig and PigLatin
- Pig vs MapReduce
- Pig vs SQL
- Live-coding session on Pig for analyzing huge sample data.
- Checking the visualization of Pig MapReduce Jobs with Twitter Ambrose
- Basic understanding of Hadoop, HDFS and MapReduce.
- Laptop with VMware Player or Oracle VirtualBox installed.
- Please download Cloudera Demo VM from https://ccp.cloudera.com/display/SUPPORT/Cloudera’s+Hadoop+Demo+VM
- Alternatively, a USB flash drive will be distributed with a VMware image of 64 bit Ubuntu Server 12.04 [Precise Pangolin] with Hadoop, HBase, Sqoop, Hive and Pig installed and configured using Apache Bigtop.
Speaker bio #
Prashanth Babu has 9+ years of experience in software development predominantly in Java and JavaEE. He is working with NTT DATA Global Delivery Services (previously Keane India Pvt. Ltd.) on an R & D initiative on Big Data using Apache Hadoop Ecosystem. Also, an avid Android enthusiast with experience in Android App Development.