Harnessing the Cloud for your Big Data Strategy: Impetus Webinar

Impetus webcast 'Harnessing the Cloud for your Big Data Strategy' available at http://lf1.me/tI/


• 1. Harnessing the Cloud for your Big Data Strategy
• 2. OutlineWhat is Big Data?The concern areasCan Cloud address the Big Data challengesLeveraging Cloud as the Big Data platformStrategies to move Big Data solutions to the CloudReal-world example2
• 3. Big Data - Problem or Opportunity?Big Data analysis help organizations decide their next move!Big Data is an opportunity to find insights in the new and emerging types of data, to make your business more agile33
• 4. Some ConcernsDoes all your data fit into one machine?Can you seamlessly access your data locked into multiple databases?Can you analyze your complete dataset to make efficient business decisions?If yes, then how much time does it takes to analyze peta-byte scale of data?What is the scaling agility of your application?How to extract meaningful information out of Big Data ?44
• 5. Extracting Business Value out of Big DataIDC Digital Universe Study predicts that between 2009 and 2020, digital data will grow 44 folds to 35 Zetabytes per year!5
• 6. Can Cloud Address my Big Data Problems ?Advantage CloudEnables organizations store, manage, share, and analyze Big DataElasticityPay-per-useLow upfront investmentsLess time to marketFault toleranceHigh availabilitySelf manageabilityAbility to run on the commodity hardware66
• 7. When Big Data Qualifies for Cloud?Exponential growth of dataNeed of a centralized location for analyzing dataOrganizations with multiple data centers across the globeChallenge to managemultiple data centers Movement of data Cloud provides faster solutions & significant cost saving77
• 8. A Match Made in Heaven8Big Data and Cloud
• 9. What does this Alliance Unravel?An ability toHandle large customer base on an on-demand basisDeeper and faster analytics Enhanced business byAbility to scale quickly Reduced TCOBetter understanding of your customersIntelligent recommendation enginesGeographical location-based customer targeting9
• 10. Cloud as a Big Data platform? Cloud supports AgilityFlexible Data WarehousingIntegrates Data Warehouse and Analytics for faster resultsCloud provides on-demand computing powerCloud is pervasive and ubiquitous Analysis based on collaborative dataCloud provides flexible, innovative cost models1010
• 11. Faster, Smarter and Better Alliance1111
• 12. Big Data Strategy for Cloud1212
• 13. Decision : On Premise Vs CloudApplication characteristicsMission critical nature of applicationResource capacity available in the data centerPolitics1313
• 14. Decision : Cost AnalysisFixed Cost Vs Variable CostCAPEX Vs OPEX1414
• 15. Planning to MigrateCloud migrationService Level AgreementsData PortabilityLong term costUser Management ScalabilityRisk mitigationIdentify the assetsAnalyze the risksApply security countermeasuresConduct post-run or event evaluations1515
• 16. Analytics : Choosing Appropriate ToolWhat will address my Big Data needs?NoSQL databasesAnalytic tools1616
• 17. Analytics: Solution ImplementationUsing Hadoop/PIG/Hive for cleansing Highly scalable solutionConvert unstructured data into structure dataLeveraging best of RDBMS and NoSQL world1717
• 18. Real-world ExperienceThe ClientLeaders in internet services and media in EuropeKey ChallengesVery high volumes of data recorded each monthNear real-time reporting engine needed How much infrastructure needed?Impetus SolutionProposed Cloud for POCUsage of Flume for collecting streaming dataUsage of Hbase/Hive for analysisBenefits RealisedPoC free implementationMinimal effort needed for installation/ set-up18
• 19. Summing up...Benefits of leveraging Cloud in your Big data strategyRapid application development and prototypingProvides agility and flexibilityLow upfront cost (CAPEX)Provides different cost modelsBig Data migration needs a proper strategy!