Blue Lines and Gradients

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Transcript Blue Lines and Gradients

What is Big Data and Why Do We
Need it?
Article By :
Colin White
August 23rd, 2011
http://www.thevirtualcircle.com/2011/08/big-data-2/
Presented By :
Kushal Mittal
Dhruv Sharma
Team 14
What is Big Data ?

Not only VOLUME

Multi-structured Data


Web logs

Social media

Sensor generated
Analytics on data
Use Cases of Big Data

Digital Marketing Optimization, Agility
Dividends[3]

Social Media and Sentiment Analysis

Fraud Detection

Machine Data Analysis
Managing and Analyzing Big Data


Analytic RDBMS

Packaged Hardware and Software Appliances

Only Software Platforms
Non-Relational Systems

MapReduce

Column Oriented Databases

Key-Value pair Databases
Which Solution to Use?
Challenges [1]

Continuous data volume growth.

Ease of Storage

Cost of Storage

Irrelevant data

Lack of Repetition
Advocating Open Source

YouTube - Open Source + Commodity
Hardware Vs. Oracle Exadata [3]
Relationship With the Course

Relational Data Model

Data Warehousing

Data Mining

BigData and Cloud
References
1.Big Data – A Glimpse at the Future.
http://www.thevirtualcircle.com/2011/09/big-data-4
2.Big Data Knows You Even if You Don't Know Big Data.
http://www.forbes.com/sites/tomgroenfeldt/2011/11/15/big-dataknows-you-even-if-you-dont-know-big-data
3.Big Data vs. Traditional databases : Can you reproduce YouTube
on Oracle's Exadata
http://www.zdnet.com/blog/btl/big-data-vs-traditional-databasescan-you-reproduce-youtube-on-oracles-exadata/52053
4.Using Big Data to Earn the Agility Dividend
http://blogs.cio.com/business-intelligence/16528/using-big-data
-earn-agility-dividend
Thank You !!