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SOLVING BIG DATA APP DEVELOPERS BIGGEST PAINS from Structure:Data 2013
 

SOLVING BIG DATA APP DEVELOPERS BIGGEST PAINS from Structure:Data 2013

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Presentation from Todd Papaioannou, Continuuity

Presentation from Todd Papaioannou, Continuuity
#dataconf
More at http://event.gigaom.com/structuredata/

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    SOLVING BIG DATA APP DEVELOPERS BIGGEST PAINS from Structure:Data 2013 SOLVING BIG DATA APP DEVELOPERS BIGGEST PAINS from Structure:Data 2013 Presentation Transcript

    • Thursday, March 28, 13
    • SOLVING BIG DATA APP DEVELOPER’S BIGGEST PAINS SPEAKER: Todd Papaioannou Founder and CEO ContinuuityThursday, March 28, 13
    • SOLVING BIG DATA DEVELOPERS BIGGEST PAINS Todd Papaioannou Founder & CEO, Continuuity @drluckyspin Flickr : NASA Goddard Photo and VideoThursday, March 28, 13
    • WHO AM I?Thursday, March 28, 13
    • EX Y! CLOUD JEFE* * Thank you Derrick HarrisThursday, March 28, 13
    • Y! CLOUD STATS • ~400k node private cloud • ~45k nodes of Hadoop • ~120 developers on Hadoop Team • ~1200 developers in Cloud Platform Group • ~5000 other Y! Developers/users trying to use HadoopThursday, March 28, 13
    • WHAT DID I LEARN?Thursday, March 28, 13
    • HADOOP IS HARD!!Thursday, March 28, 13
    • TITLE TEXT WANTED: StabilityThursday, March 28, 13
    • GOT: Redneck Architecture!Thursday, March 28, 13
    • WANTED: Slick User ExperienceThursday, March 28, 13
    • GOT: Home-brew Computing ClubThursday, March 28, 13
    • RESULT?Thursday, March 28, 13
    • LAUNCHING APPS TOOK FOREVERThursday, March 28, 13
    • INNOVATION STALLED! INNOVATIONThursday, March 28, 13
    • WHY?Thursday, March 28, 13
    • MAJOR PAIN POINTS 1. Setting up and maintaining Big Data infrastructure is hard and time consuming 1 2. Low level APIs and abstractions make it difficult to develop Big Data applications 2 3. Its tough to reliably deploy, manage, monitor and elastically scale Big Data applications 3 4. Lack of distributed systems PhDs and trained Hadoop developer talent 4Thursday, March 28, 13
    • Thursday, March 28, 13
    • OUR FOCUS • Maniacal focus on the development of the next generation of Big Data applications • Created the industry’s first scale-out application hosting platform for Hadoop and Hbase • Delivered as a self-service Cloud PaaS • Offering a suite of products that focus on the entire Application development lifecycle ‣ Beautiful programming abstractions and user interfaces ‣ Development tools and libraries to create Big Data applications ‣ Rich Visual User Interfaces for Application Operations Developers! Developers! • We turn Java developers into Big Data developers! Developers!Thursday, March 28, 13
    • Thursday, March 28, 13
    • Thursday, March 28, 13
    • CONTINUUITY ADVANTAGE Before After Months + opex $$s to setup Hadoop infrastructure Self-service provision BigData stack in minutes Low level infrastructure APIs slow development Create a BigData app in < 1 day with simple APIs Ops staff required for app deployment Drag and drop Application deployment System must be taken offline for upgrades Online Elastic Scalability Debugging via log files IDE based debugging Lack of qualified development talent Any Java developer can build Big Data apps Months to create business value Days to create business value and monetize dataThursday, March 28, 13
    • PRODUCT SUITE Publicly Available Now Publicly Available Now Available Q2 Available Q2 Get started with Continuuity right now @ www.continuuity.comThursday, March 28, 13
    • QUESTIONSThursday, March 28, 13
    • Thursday, March 28, 13