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Hadoop in the Microsoft Enterprise
 

Hadoop in the Microsoft Enterprise

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    Hadoop in the Microsoft Enterprise Hadoop in the Microsoft Enterprise Presentation Transcript

    • Hadoop in the Microsoft Enterprise @DanRosanova West Monroe Partners http://danrosanova.wordpress.com
    • W hat does the MicrosoftEnterprise Look Like
    • Microsoft Enterprise - Basics
    • The reality is slightly more complicated Client OS Office Active Directory System Center Applications Server OS Virtualization NTFS ETL OLTP OLAP SAN / NAS
    • Data lives here
    • Users live here
    • System Administrators LiveHERE
    • Many enterprises are fragmented
    • VERY fragmented
    • How do we make sense of this Fragmentation ?
    • Into this
    • Existing and New tools SSAS ODBC For HIVE + SSIS
    • Applied to Customer Transactional Social MediaWeb Logs Sqoop Hive Flume HDFSIVR Logs Email & Chat Pig Pig
    • Transactional DataID Sector Rev Code Acct Amount01 Q X QW 10000 120002 P X AB 20000 102003 O X CD 20000 1122104 N XX QW 50000 232305 M X CD 30000 3306 L XX AB 10000 32323107 K X ER 20000 1208 J XXX CD 20000 323309 I X QW 40000 546810 H X ER 50000 23411 G O AB 55000 76512 F X ER 70000 3453813 E XX ER 25000 345647614 D XXX AB 10000 456415 C X QW 10000 45616 B XX YZ 11000 4417 A X AB 15000 456
    • Transactional + Temporal Data
    • Complete information awareness Transactional Temporal Spatial Contextual
    • This sounds familiarHow is this different from otherfrom other consolidation approaches?
    • Work with departmentalization Not against it
    • Agile Analytics Self Service Accessible Easy to use
    • How do you eat an elephant
    • Start Simple: Storage $1000 SAN HDInsight (Hadoop) 50 5 TB 5 25 100 1000
    • Create log storage• IIS (Web Server) Logs• Event Logs• Trace Logs
    • Incorporate log analysis• Give users access to HDInsight / Hadoop with tools they know• Encourage departmental experiementation• Development and IT departments are good early adopters• So is marketing
    • Tap into existing ETL• You already have a TON of ETL• Reuse as much as you can• At first aim for replication• Incrementally add value
    • Why do all this?
    • How most organizations view their Customer
    • Some organizations see
    • What we should see
    • Understand your data Understand your @Dan Rosanova West Monroe Partners http://danrosanova.wordpress.com