Big Data – A Brief Overview

Petabytes, Hadoop, Analytics, Collaborative business intelligence, Data scientists, In-Memory Databases, NoSQL

platforms

Big Data

• What is it?• Where does it come from?• How do we process it?• What do we do with it?• Who are the players?• What are the opportunities?

What Is Big Data?

Like the term Cloud, it is a bit Nebulous

Attributes of Big Data

• Volume• Velocity - streaming• Variety

Where Does It Come From?

It Depends

Key Drivers

Spread of cloud computing, mobile computing and social media

technologies, financial transactions

Sources of Big Data• Chatter from social networks, • Web server logs, • Traffic flow sensors, • Satellite imagery, • Broadcast audio streams, • Banking transactions, • MP3s of rock music, • The content of web pages, • Scans of government documents, • GPS trails, • Telemetry from automobiles, • Financial market data• ….

How Do We Process It?

Source: http://radar.oreilly.com

Process Pipeline

Hadoop

A distributed processing Framework based on Map/Reduce

Pig

A platform for analyzing large data sets that consists of a high-level language for expressing

data analysis programs, coupled with infrastructure for evaluating these programs.

Mahout

A machine learning library with algorithms for clustering, classification and batch based collaborative filtering that are

implemented on top of Apache Hadoop.

Hive

Data warehouse software built on top of Apache Hadoop that facilitates querying and managing large datasets residing in

distributed storage.

Pegasus

A Peta-scale graph mining system that runs in parallel, distributed manner on top of

Hadoop

Sqoop

A tool designed for efficiently transferring bulk data between Apache Hadoop and structured data stores such as relational

databases.

Flume

A distributed service for collecting, aggregating, and moving large log data

amounts to HDFS.

Yahoo S4

S4 is a general-purpose, distributed, scalable, partially fault-tolerant, pluggable platform that allows

programmers to easily develop applications for processing continuous unbounded streams of data.

Twitter Storm

Storm can be used to process a stream of new data and update

databases in real time.

Trends

Funding, Companies, Applications, Jobs, IPOs

Funding & IPO

• Cloudera, (Commerical Hadoop) more than $75 million

• MapR (Cloudera competitor) has raised more than $25 million

• 10Gen (Maker of the MongoDB) $32 million• DataStax (Products based on Apache

Cassandra) $11 million• Splunk raised about $230 million through IPO

Big Data Application Domains

• Healthcare• The public sector• Retail• Manufacturing • Personal-location data• Finance

A Few Examples

PayPal Tracking Architecture

Market and Market Segments

Research Data and Predictions

http://wikibon.org/wiki/v/Big_Data_Market_Size_and_Vendor_Revenues

Market for big data tools will rise from $9 billion to $86 billion in 2020

http://wikibon.org/wiki/v/Big_Data_Market_Size_and_Vendor_Revenues

Future of Big Data

• More Powerful and Expressive Tools for Analysis• Streaming Data Processing (Storm from Twitter and S4 from

Yahoo)• Rise of Data Market Places (InfoChimps, Azure Marketplace)• Development of Data Science Workflows and Tools (Chorus,

The Guardian, New York Times)• Increased Understanding of Analysis and Visualization

http://www.evolven.com/blog/big-data-predictions.html

http://www.evolven.com/blog/big-data-predictions.html

Opportunities

Skills Gap

• Statistics• Operations Research• Math• Programming• So-called "Data Hacking"