Microsoft - The Big Data opportunity

 New sources of data Social Networks driving change in communication style and frequency Increased use of mobile communications Massive increase in digital data Legislation – AML and prevention of crime Need to understand business risks better New Channels Hyper competition – fight for share globally Targeting use of marketing funds Automating reputation analysis

Analysts and marketers need a better way to manage data

Analysts and marketers want to easily get to the insightthat helps them make better decisions

Volume

Velocity

Variety

Stream TechnologiesVelocity Variety Complexity will tend to push the line back Big Data Technologies Traditional Data warehousing Volume

Data Engine

• Optimise Ad placements and frequency• Conversion Funnel Analysis / Time to Convert / Conversion Window Analysis• Day Part Performance –impressions, clicks, and conversions fluctuate• Geographic Performance• Key Path Analysis – uncover search behaviour patterns

HADOOP as a Service HADOOP on Premises Datawarehouse Low cost SQLServer Archive Master Slave (s) Slave (s) Master Storage Task Task Task Tracker Tracker Task Tracker Tracker MS BI PDW Job Tracker Job Tracker MapReduce MapReduce Name HDFS Name HDFS Node Node T SQL Server SQOOP T Data Data Data Data Node Node Node Analysis Service Node HIVE SQOOP SQOOPMulti-node Azure Cluster

http://blogs.msdn.com	665
http://www.orangehedgehog.com	3
http://www.newsblur.com	2
http://pinterest.com	2
http://www.newsisfree.com	1
http://207.46.192.232	1
http://dev.newsblur.com	1
http://www.acomputerportal.com	1

Microsoft - The Big Data opportunity

by Lee Stott

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