Teradata Aster: Big Data Discovery Made Easy

  • 935 views
Uploaded on

Teradata Aster: Big Data Discovery Made Easy …

Teradata Aster: Big Data Discovery Made Easy
Brad Elo, VP, Aster Data, Teradata
ANALYTICS AND VISUALIZATION FOR THE FINANCIAL ENTERPRISE CONFERENCE
June 25, 2013 The Langham Hotel Boston, MA

More in: Business , Technology
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
No Downloads

Views

Total Views
935
On Slideshare
0
From Embeds
0
Number of Embeds
0

Actions

Shares
Downloads
74
Comments
0
Likes
2

Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide

Transcript

  • 1. Big Data Discovery Made Easy(well, easier)Brad Elo – Vice President Teradata Aster
  • 2. Confidential and proprietary. Copyright © 2012 Teradata Corporation.2Teradata – The Clear Data Warehousing LeaderLeadership in Execution and VisionGartner MagicQuadrant for DataWarehouse DBMS,2013The Magic Quadrant is copyrighted 23 December 2008 by Gartner, Inc. and is reused with permission. The Magic Quadrant is a graphical representation of amarketplace at and for a specific time period. It depicts Gartners analysis of how certain vendors measure against criteria for that marketplace, as defined byGartner. Gartner does not endorse any vendor, product or service depicted in the Magic Quadrant, and does not advise technology users to select only thosevendors placed in the "Leaders" quadrant. The Magic Quadrant is intended solely as a research tool, and is not meant to be a specific guide to action. Gartnerdisclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.Ability to ExecuteCompleteness of Vision
  • 3. Confidential and proprietary. Copyright © 2012 Teradata Corporation.3Need for a Unified Data Architecture for New InsightsEnabling Any User for Any Data Type from Data Capture to AnalysisDiscover and ExploreReporting and Executionin the EnterpriseCapture, Store and RefineAudio/VideoImages Docs TextWeb &SocialMachineLogsCRM SCM ERPJava, C/C++, Python, R, SAS, SQL, Excel, BI, Visualization
  • 4. Confidential and proprietary. Copyright © 2012 Teradata Corporation.4Big Data: From Transactions to InteractionsBIG DATAWEBPetabytesCRMTerabytesGigabytesERPExabytesIncreasing Data Variety and ComplexityUser GeneratedContentMobile WebSMS/MMSSentimentExternalDemographicsHD VideoSpeech to TextProduct/Service LogsSocial NetworkBusiness DataFeedsUser Click StreamWeb LogsOffer History A/B TestingDynamic PricingAffiliate NetworksSearch MarketingBehavioralTargetingDynamic FunnelsPaymentRecord Support ContactsCustomer TouchesPurchaseDetailPurchaseRecordOffer DetailsSegmentationBehavioral Analytics
  • 5. Confidential and proprietary. Copyright © 2012 Teradata Corporation.5Shift from a Single Platform to an Ecosystem“Big Data requirements are solvedby a range of platforms includinganalytical databases, discoveryplatforms, and NoSQL solutionsbeyond Hadoop.”“We will abandon the old modelsbased on the desire toimplement for high-valueanalytic applications.”“Logical” Data WarehouseSource: “Big Data Comes of Age”. EMA and 9sight Consulting. Nov2012.1%2%2%6%8%28%26%27%Hybrid Data Ecosystem Nodes in UseOne NodeTwo NodesThree NodesFour NodesFive NodesSix NodesSeven NodesEight NodesColumn-StoreDBMSCEPContent& XMLComplexData TypesCloudDBMSData inHDFSIn-MemoryDBMS
  • 6. Confidential and proprietary. Copyright © 2012 Teradata Corporation.6AUDIO & VIDEO IMAGES TEXT WEB & SOCIAL MACHINE LOGS CRM SCM ERPINTEGRATEDDATAWAREHOUSEUNIFIED DATA ARCHITECTURELANGUAGES MATH & STATS DATA MINING BUSINESS INTELLIGENCE APPLICATIONSEngineersData ScientistsBusiness AnalystsFront-Line WorkersCustomers / PartnersQuantsOperational SystemsMarketing
  • 7. Confidential and proprietary. Copyright © 2012 Teradata Corporation.7• Single View of Your Business• Cross-Functional Analysis• Shared Source for Analytics• Balance the Books• Customer/Product Profitability• Operational Applications• CRM Execution• Fast Time-to-Market For New Apps• Mission Critical Service LevelsIntegrated Data WarehouseRequirements
  • 8. Confidential and proprietary. Copyright © 2012 Teradata Corporation.8AUDIO & VIDEO IMAGES TEXT WEB & SOCIAL MACHINE LOGS CRM SCM ERPDISCOVERYPLATFORMINTEGRATEDDATAWAREHOUSEUNIFIED DATA ARCHITECTURELANGUAGES MATH & STATS DATA MINING BUSINESS INTELLIGENCE APPLICATIONSEngineersData ScientistsBusiness AnalystsFront-Line WorkersCustomers / PartnersQuantsOperational SystemsMarketing
  • 9. Confidential and proprietary. Copyright © 2012 Teradata Corporation.9Requirements of a Discovery PlatformDATA SOURCESStructuredDataMulti-StructuredDataNon-RelationalDataDISCOVERY DISCOVERY TOOLS USERSDiscoveryPlatform DataScientistBusinessAnalystSQLMapReduceStatistical FunctionsOLTPDBMS’s• Structured andmulti-structureddata• Doesn’t requireextensive datamodeling• Doesn’t balance thebooks• Data completenesscan be good enough• No stringent SLAs• Fraud patterns• Customer behavior• Digital marketingoptimization• Supply chain andsupply line sensors
  • 10. Confidential and proprietary. Copyright © 2012 Teradata Corporation.10AUDIO & VIDEO IMAGES TEXT WEB & SOCIAL MACHINE LOGS CRM SCM ERPDISCOVERYPLATFORMINTEGRATEDDATAWAREHOUSEUNIFIED DATA ARCHITECTURELANGUAGES MATH & STATS DATA MINING BUSINESS INTELLIGENCE APPLICATIONSEngineersData ScientistsBusiness AnalystsFront-Line WorkersCustomers / PartnersQuantsOperational SystemsMarketingCAPTURE | STORE | REFINE
  • 11. Confidential and proprietary. Copyright © 2012 Teradata Corporation.11• Land/source operational data• History or long term storage• Preprocess data• TransformationsBig Data Management RequirementsMachine GeneratedSocial Media
  • 12. Confidential and proprietary. Copyright © 2012 Teradata Corporation.12AUDIO & VIDEO IMAGES TEXT WEB & SOCIAL MACHINE LOGS CRM SCM ERPDISCOVERYPLATFORMINTEGRATEDDATAWAREHOUSEUNIFIED DATA ARCHITECTURELANGUAGES MATH & STATS DATA MINING BUSINESS INTELLIGENCE APPLICATIONSEngineersData ScientistsBusiness AnalystsFront-Line WorkersCustomers / PartnersQuantsOperational SystemsMarketingCAPTURE | STORE | REFINEBig DataAnalyticsBig DataManagement
  • 13. Confidential and proprietary. Copyright © 2012 Teradata Corporation.13AUDIO & VIDEO IMAGES TEXT WEB & SOCIAL MACHINE LOGS CRM SCM ERPDISCOVERYPLATFORMINTEGRATEDDATAWAREHOUSEUNIFIED DATA ARCHITECTURELANGUAGES MATH & STATS DATA MINING BUSINESS INTELLIGENCE APPLICATIONSEngineersData ScientistsBusiness AnalystsFront-Line WorkersCustomers / PartnersQuantsOperational SystemsMarketingCAPTURE | STORE | REFINEBig DataAnalyticsBig DataManagement
  • 14. Confidential and proprietary. Copyright © 2012 Teradata Corporation.14 AUDIO & VIDEO IMAGES TEXT WEB & SOCIAL MACHINE LOGS CRM SCM ERPDISCOVERYPLATFORMCAPTURE | STORE | REFINEINTEGRATEDDATA WAREHOUSELANGUAGES MATH & STATS DATA MINING BUSINESS INTELLIGENCE APPLICATIONSVIEWPOINT SUPPORTEngineersData ScientistsBusiness AnalystsFront-Line WorkersCustomers / PartnersQuantsOperational SystemsExecutivesTERADATA UNIFIED DATA ARCHITECTUREAster Connector forHadoopTeradata Connectorfor HadoopAster TeradataConnectorSQL-HAster Loader Teradata LoaderSQL-H
  • 15. Confidential and proprietary. Copyright © 2012 Teradata Corporation.15Teradata Unified Data Architecture™Partners Support Many Layers of the UDAUpdated: April 24, 2013
  • 16. Confidential and proprietary. Copyright © 2012 Teradata Corporation.16SummaryWorld is Moving Towards Hybrid Architectures- FASTTeradata Provides the Most CompleteUnfiied Data Architecture – includes DataWarehousing, Discovery, Hadoop & SpotfireDiscovery is Key Big Data Use Case –Optimally Done with Teradata Aster, Spotfire &Hadoop123