Proposed Sessions for BigDataCamp LA
This is where you propose and vote for sessions for BigDataCamp LA 2014. This year we will be holding 3 tracks: Hadoop; NoSQL; Data Science. We also have space for a tutorials class.
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Data Modeling in NoSQL And Big Data

Submitted on May 5, 2014 at 12:06 PM
In the age of NoSql unstructured data, do we still need the data modeling?. If the answer is yes, then 1. How is this data modeling different from the traditional structured data modeling. 2. what is the outcome of this modeling, is it still a diagram? 3. suggested best practices.
Proposed by: dhanasekaran Chenniappan


Pig: The Prequel to SQL

Submitted on May 10, 2014 at 01:00 PM
This will be a hands on tutorial of rudimentary commands using utilities and commands in the Hadoop Stack. We will land data in the Hadoop File System and manipulate it with Pig and then generate a report with Hive (hence the title of the session) and schedule jobs using Oozie. Hands on participat... Proposed by: Dave Wolcott


Geometry and data analysis

Submitted on May 12, 2014 at 08:56 AM
The current challenge in big data is the ability to process huge amounts of data and extract insights. Using traditional methods, we would write a query and then apply statistical methods or machine learning algorithms to analyze the data. This is problematic because it requires a data analyst to kn...
Proposed by: Jean-Ezra Yeung


AtrocityWatch: Using Data Science and Big Data to Notifiy Humanitarian Organizations of Crimes Against Humanity in Real Time

Submitted on Apr 28, 2014 at 08:11 AM
The non-profit organization AtrocityWatch has the mission of providing an early warning to precursors of genocide and crimes against humanity through crowd sourcing and big data analysis of social media feeds (twitter, facebook, youtube, etc.). This presentation will discuss AW's current on-going e... Proposed by: Tom Plunkett


Aggregation Options for MongoDB Data

Submitted on May 7, 2014 at 11:20 AM
MongoDB has several native tools for processing data. This presentation will focusing on native implementation of the new Aggregation Framework and Map Reduce. This session will include examples and practical strategies for aggregating data.
Proposed by: Asya Kamsky


Schema Evolution on HBase

Submitted on May 22, 2014 at 04:43 PM
Data changes over time often requiring carefully planned changes to database tables and application code. KijiSchema integrates best practices with serialization, schema design & evolution, and metadata management common in NoSQL storage solutions. In particular, KijiSchema provides strong guarantee...
Proposed by: Adam Kunicki


Yarns about YARN: Migrating to MapReduce v2

Submitted on May 20, 2014 at 03:23 PM
The next generation of MapReduce, YARN, has widely touted job throughput and Apache Hadoop cluster utilization benefits. Less known are the pitfalls littering the migration path to YARN. Learn from our extensive field experience to avoid those pitfalls and get your YARN cluster configured right the...
Proposed by: Kathleen Ting


Big Data on the Bleeding Edge - More, better, faster

Submitted on May 16, 2014 at 12:26 PM
What comes next - what are the most innovative developments in Big Data storage and query design? Where is the innovation, what should be you be trying out and looking at? In this talk I'll cover the latest and greatest for the Big Data world - this will include in-memory stores such as Aerospike,...
Proposed by: Lynn Langit, none


Wadoop - Xtensible Security Framework for Hadoop

Submitted on May 16, 2014 at 01:26 PM
With the advent of bigdata being a major player in the technology shift , security and governance has been perceived to be a big challenge in most of the industry verticals. e.g. Banking,Finance, Insurance. Wahoop - a security framework for Hadoop, will be piloted in this conference and introduced t...
Proposed by: VIvek, Vivek Shrivastava - Architect, Analytical and Information Management, Wipro Technology. Murlidhar Iyer - Practice Director, Analytical and Information Management, Wipro Technology.


Tutorials (90 mins) - Hadoop Fundamentals by Santosh Jha of Aziksa, Ends at 12:00 PM

Submitted on Jun 8, 2014 at 11:58 PM
Abstract - This course will begin with the big data motivation and explaining all the components in Hadoop including Hadoop cluster and distributed file systems. How to use HDFS distributed storage. What is map reduce and its effect in distributed processing. In the second part of the session, each... Proposed by: Dave Nielsen


Registration, Coffee, Bagels & Networking

Submitted on Jun 8, 2014 at 12:04 AM
Proposed by: Dave Nielsen

Registration Closed

Session Schedule

BigDataCamp LA 2014


Jun 14, 2014
8:00 am - 7:00 pm


2260 E Imperial Hwy
El Segundo, CA 90245
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