DW Appliance
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Data warehouse appliances provide an integrated hardware and software system optimized specifically for data warehousing. They are designed to handle high volumes of data and perform complex analytical operations quickly in a scalable, fault-tolerant, and secure manner. Key advantages include reduced costs, management overhead, and risks compared to traditional data warehouse infrastructure. Major vendors of these appliances include Teradata, Netezza, and Oracle.
DW Appliance
- 1. Data warehouse ApplianceThe Need for an ApplianceShankar RadhakrishnanHCL Technologies
- 2. State of dataData driven businessMine more, Collect moreChallengesNeed of the dayRise of the machinesFeaturesAdvantagesKey PlayersAgenda
- 3. Data driven businessBusinesses have been collecting informationall the timeMine more == Collect more (& vice-versa)ChallengesState of data
- 4. ApplicationsSocial Data, Email, Blogs, Video clips, Product ListingsERP, CRM, Databases, Internal Applications, Customer/Consumer facing productsMobileContextWeb, Customers, Products, Business Systems, Process and ServicesSupport SystemsCRM, SOA, Recommendation Systems/Processes, Data warehouses,Business Intelligence, BPMData driven business
- 5. DriversROICustomer RetentionProduct AffinityMarket TrendsResearch AnalysisCustomer/Consumer AnalyticsData Intensive ProcessesClusteringClassificationBuild RelationshipRegressionTypesStructuredSemi-structuredUnstructuredMine more, Collect More
- 6. Growth is constantApplication complexitiesWorkload RequirementsData growthInfrastructureMeet SLA’sDelivery ROIReduce RiskChallenges
- 7. System that can handle high volume dataSystem that can perform complex, analytical operationsScalableRapid AccessibilityRapid DeploymentHighly AvailableFault TolerantSecureNeed of the day
- 8. Rise of the machines“A data warehouse appliance is an integrated system, which has hardware (processors and storage) and software(operating systems and database system) components, specifically optimized for data warehousing”
- 9. Designed to do one thing and one thing onlyProcessing optimized to handle high-volume of dataData is process in parallel operations(mostly massively parallel operating units)System is resilient to data-growth and operationsHighly tolerant to hardware and database failuresHighly availableServer units operates in isolation, so risk is local or lessPre-tuned for high query performanceFeatures
- 10. Integrated architectureMore reporting and analytical capabilitiesFlexibilityLess management (tuning and optimization)Operational BICost ReductionsAdvantages
- 11. Key Players
- 12. Q&A?