#DataOnCloud Seattle Event

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This slide deck was presented at #DataOnCloud event Seattle. DataOnCloud is an invite-only event for CIOs and top IT innovators. DataOnCloud enables key decision makers to discuss about real life......

This slide deck was presented at #DataOnCloud event Seattle. DataOnCloud is an invite-only event for CIOs and top IT innovators. DataOnCloud enables key decision makers to discuss about real life adoption scenarios, challenges and best practices for leveraging Big, Small and Line Of Business Data on Cloud.

Aditi Technologies, a 'cloud first' technology services company organized #DataOnCloud, an event series focused on orchestrating data on cloud and navigating the complexity around integration, security, platform selection and technology solutions.

Aditi Technologies partnered with Microsoft for this 2-hour, CXO roundtable event in global technology hubs - London, New York, Seattle and San Diego

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  • 1. DATA ON CLOUD.
  • 2. AgendaData On CloudData problems. Why Cloud. Myth busting. Solution RoadmapBy Michael S. Collier, Principal Cloud Architect, Aditi TechnologiesCrunch Big Data with Windows Azure HDInsightProcess Big Data on Cloud using 100% Apache HadoopBy Matt Winkler, Principal Program Manager, MicrosoftQ&A PanelDiscover Risks, Strategies & Roadmap for Cloud adoption
  • 3. HousekeepingFriendsConnectWho am I? Participation
  • 4. Trusted, Respected, Technology Leader2012 Partner of the yearWindows Azure , Finalist2011 Partner of the yearWindows Azure SI, Finalist2010 Partner of the yearWindows Azure , Winner Best companies to work for Top 10 IT Workplace Global Cloud MVPs Top 50 Cloud influencers 1:114 hiring ratioThe Best ‘OF’Vendor Award 52% of our customers rate us 5/5. 45 + active customers. 170+ engagements. 1600 people, globally 18 years, 12 locations
  • 5. ww.aditi.comWE HELP OUR CLIENTSMOVE THEIR BUSINESSTO THE CLOUD
  • 6. ww.aditi.com 7USER EXPERIENCEMODERNIZATIONMOBILE ANDMULTICHANNELDATA ANDANALYTICSSOCIAL BUSINESSSAAS ENABLEMENTINFRASTRUCTUREMIGRATIONCLOUD OPSCLOUDINTEGRATIONBUILD WITH AGILEENGINEERINGPLAN ANDARCHITECTCONTINUOUSDEPLOYMENT ANDSUPPORTOUR SOLUTIONS CATER TO OUR CUSTOMER’S MARKETSTEST AUTOMATIONINCREASE MARKET REACH REDUCE COST OF SERVING MARKETS ACCELERATE TIME TO MARKET
  • 7. ww.aditi.com 8HOW DO YOU MAKE A GYM MORE STICKY ?3CHANNELSWEB, SOCIAL,MOBILEHELPING AMERICA’S #1 FITNESSCHAIN REACH MORE CUSTOMERSAND DRIVE MORE LOYALTY WITHINTEGRATED MARKETINGHOW DO YOU INTEGRATE YAHOO AND BING?HELPING MICROSOFT ADCENTERTEAM INTEGARET YAHOO ANDBING SEARCH ENGINE WITHOUTIMPACTING ADVERTISERS.151MILLIONCUSTOMERIMPACTED9MONTHSTO GO LIVEWE HELP OUR CUSTOMERS NAVIGATE TRANSFOMATIONSHOW DO YOU MANAGE 3 MILLION INSTANCES ?HELPING XBOX TEAM MANAGEPROCESSING AND PLAYER DATAACROSS 3 MILLION CONCURRENTWEEKEND GAMERS#1LARGEST AZUREINSTANCEIN THE WORLD3MILLIONPLAYERSHOW DO YOU SELL A PLANE ?HELPING REDESIGN CUSTOMEREXPEREINCE IN ‘INTERACT ANDBUY A PLANE’ BRIEFING CENTER.3MONTHSTO DELIVER185MILLION USDAVG SKU PRICEHOW DO YOU MAP AN OCEAN FLOOR ?LIVEANALYTICS ONTB OF DATAHELPING ANALYZE LIVEGEOSPATIAL DATA FROM OCEANFLOOR300MILLION USDIN FUNDINGHELPING LADBROKES IMPROVEGAME MARGINS BY 4% POINTSTHROUGH TEST AUTOMATIONAND PERFORMANCE TESTING4YEARS OF CO-ENGINEERINGHOW DO YOU NOT LOSE MONEY ON HORSES?120PEOPLE IN 9MONTHS
  • 8. What Do We Mean By Cloud?• On-demand self service• Broad network access• Resource pooling• Rapid elasticity• Measured service
  • 9. Cloud Computing Models
  • 10. Compute OptionsApplication Control
  • 11. Is this true?…is KingKing of your . . .
  • 12. Meet your data challenge…High VolumeData Growth Quality ofDataIncreasedFrequency ofData CollectionData BeyondRelationalValuable InsightsBudget for Growth Globally AccessibilityVolume Velocity Variety VeracitySecurity Reliability
  • 13. From Where Does this Data Come?Device + Sensors Social FeedsRelationalDatabasesTrading Desks Web LogsDocument StoresUse of Data? KPI Dashboards Trading Stations Alert/Notifications Personalized WebNoSQL or TableStorage
  • 14. 343 Industries Gets New User Insights from BigData in the CloudBI insight about the game to internal and external customersProvide details for the leaderboard, game stats, feedback, & play patterns Windows Azure based storage for unstructured data – game data pushedinto BLOB storage. Analyze and query data using HDInsight, based on Apache Hadoop Ability to generate reports in Excel by leveraging Hive ODBC driver Connect Halo 4team directly to customers through weekly updates &customized marketing campaigns. Enhances user experience through increased agility & faster response times Provides in-game analysis to identify cheaters
  • 15. Financial Services Company Reduces Costs &Increases Reliability of ServicesReduce ever-increasing on-going capital investmentsIncrease reliability of services serving over 100,000 members in Illinois Windows Azure based provisioning of server Virtual Machines (VMs) Replication of Windows Azure Active Directory and extension on Cloud Single sign-on authentication using Active Directory Implementation of Disaster Recovery solution Storage scalability Reduced costs Disaster recovery & backup solutions
  • 16. How Does Cloud Solve the 4V’s?High VolumeData Growth Quality ofDataIncreasedFrequency ofData CollectionData BeyondRelationalVolume Velocity Variety Veracity
  • 17. How Cloud Helps Solve the Data Problem↑ Ability to add storage dynamically↑ Increase computing power on demand↑ Use global distributed data centers forlocalized processingHigh VolumeData GrowthVOLUME
  • 18. How Cloud Helps Solve the Data Problem↑ Use Azure networks to collect data withvery low latency↑ Leverage CEP on Windows Azure to do realtime event processing↑ Distribute notifications and alertsVELOCITYIncreasedFrequency ofData Collection
  • 19. How Cloud Helps Solve the Data Problem↑ Windows Azure supports Relational,NoSQL and Blob storage↑ Ability to process and enrich all kinds ofdata using HDInsights↑ Combine relational and non relationaldata in one serviceVARIETYData BeyondRelational
  • 20. How Cloud Helps Solve the Data Problem↑ Clean, usable data↑ Leverage compute power for postprocessing↑ Purchase data from marketplacesVERACITYQuality ofData
  • 21. Approach for USING DATA with the CLOUD
  • 22. AggregateFragmenteddata sourcesNon relationalinformationUnclean dataDATA SOURCERelationalhistoric dataDATA INJECTION Classify data into tables,blobs, SQL DatabaseEnable blob storage asHDFS for HDInsight
  • 23. EnrichFilter data usingMAPREDUCEREFINETRANSFORMCLEANSEApply transformations Segment data based onmultiple variables Remove duplicates Eliminate non required informationLeverage HIVE to useHDInsights as a DWPrepare and load it intorelational format if requiredLoad data intoclusters using PIG
  • 24. AnalyzeANALYZEVISUALIZEAccess HDFS data usingExcel data explorerImplement Embeddedvisualizations using Power viewLeverage machine learningDeliver alerts and notificationsImplement statistical algorithmslike Naïve baiyes,ClusteringProcess real time businessevents using StreamInsightVisualize
  • 25. How Do We Make Sense of this Data?Right PersonRight TimeRight Data
  • 26. Starting the JourneyData & Cloud Quickstart• Half-day with an Architect• Detailed review of datachallenges and cloudmaturity
  • 27. Web | Blog | Facebook | Twitter | LinkedIn