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C* Summit 2013: Big Data Analytics – Realize the Investment from Your Big Data Clusters by Mark Davis
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C* Summit 2013: Big Data Analytics – Realize the Investment from Your Big Data Clusters by Mark Davis

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The term "big data" seems to be everywhere these days. With the ever growing number of attendees at big data and Hadoop events, it’s clear big data is here to stay. But what does that mean for the ...

The term "big data" seems to be everywhere these days. With the ever growing number of attendees at big data and Hadoop events, it’s clear big data is here to stay. But what does that mean for the analytics market, and how does big data fit into the picture? This session, featuring Mark Davis, Sr. Product Architect at Dell, will explore what big data means in a practical sense to the IT department. It will also explore the many ways that big data affects an organization’s picture of performance. Plus, see how big data analytics, using technologies like Cassandra and Hadoop, will converge with traditional business intelligence to create a complete picture of the enterprise's information assets, thereby giving the business a complete and insightful view of its operational efficiency.

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C* Summit 2013: Big Data Analytics – Realize the Investment from Your Big Data Clusters by Mark Davis Presentation Transcript

  • 1. Big Data Analytics – Realize the Investment from Your Big Data ClustersMark Davis| Senior Architect and Principal Engineer, Dell Inc.
  • 2. Big Data and SocietyHow Is Big Data Affecting Our World?
  • 3. 200EB = 1018 B1ZB = 1021 B10EB100TB2000198519001750IndustrialRevolution#1IndustrialRevolution#2IndustrialRevolution#3IndustrialRevolution#4R. J. Gordon: Is US economic growth over? Faltering innovation confrontsthe six headwinds. CEPR Policy Insight No 63
  • 4. DistributedFile SystemMapReduceEventuallyConsistentColumn StoreAnalyticsDatabaseNoSQLStructuredSemi-structuredUnstructuredText AnalyticsMachineLearningThe Big Data “Zoo”
  • 5. Big Data Use CasesHow Is Big Data Being Consumed Today?
  • 6. SourcesKASGOAL: Improve force effectivenessSOURCES: Situation reports and acquired multi-source intelligenceANALYSIS: Extract named entities andrelationships, classify and label, normalizegeospatial and temporal metadata; visuallyunderstand relationships and trendsACTION: Identify mission objectives and createprioritiesDefense IntelligenceVisualizationmetadatarelationshipsdataVisualUnderstandingentities
  • 7. * Current system doesn’t scale* Oracle with text plug-in* Overwhelmed by intelligence needs* Need analytic capability with searchUS Army
  • 8. SourcesKASGOAL: Be more competitiveSOURCES: Patents, PR announcements, legaldocuments, whitepapers, crawled websitesANALYSIS: Extract named entities andrelationships, classify and label; visuallyunderstand relationships and trendsACTION: Change R&D priorities and improvemarketing approachesCompetitive IntelligenceViz/SearchmetadatarelationshipsdataUnderstandingentities
  • 9. * Understand IP among competitors* Assist legal team with litigation* Custom search experience* Custom extractors:Electronic partsMemory typesFlash memoryCustomer: Technology Company
  • 10. SourcesKASGOAL: Discover new drugs, detect side-effects,speed R&DSOURCES: Published research reports, patents,adverse effects databases, genomics andproteomics databasesANALYSIS: Extract named entities andrelationships, classify and label; visuallydiscover trends and relationshipsACTION: Change R&D prioritiesDrug DiscoveryViz/SeachrelationshipsdataUnderstandingentitiespathwayssequences
  • 11. * Lousy search* Internal regulators can’t find by accession number* Custom extractors:Accession numberOntology of active ingredientsDrug namesFDA
  • 12. SourcesKASGOAL: Scalable analysis of customer relationshipengagementsSOURCES: Call center and web help contactnarrativesANALYSIS: Ingest massive data sets; visuallydiscover trends, novelty, and relationshipsACTION: Predict new product issuesCRM AnalyticsViz/SearchrelationshipsdataUnderstandingMy iPhone isvery hot…
  • 13. SourcesKASGOAL: Scalable analysis of networkfailuresSOURCES: Uploaded syslog data andconfiguration for routers and switchesANALYSIS: Ingest massive data sets;visually discover trends and relationshipsACTION: Solve network problemsNetwork AnalyticsViz/SearchrelationshipsdataUnderstanding
  • 14. * Unable to manage customer network signals* RDBMS* Tiger team dumps database and runs Perl scripts for analysisRouter/Switch Vendor
  • 15. SourcesKASGOAL: Reduce fraudSOURCES: Analysis customer dataANALYSIS: Extract patterns of web and serviceusage, classify, label with normalizedgeospatial and temporal metadata; visuallyunderstand relationships and trends.ACTION: Indentify fraudulent transactions andpatternsFinancial Services: FraudViz/Searchmetadata relationshipsdataUnderstanding
  • 16. SourcesKASGOAL: Identify what people want to buySOURCES: Crawl Twitter, blogs, and websitesANALYSIS: Extract sentiments about products,classify, label with normalized geospatial andtemporal metadata; visually understandrelationships and trends.ACTION: Target sales and enhance offeringsBuy SignalsViz/Searchmetadata relationshipsdataUnderstandingsentiments
  • 17. SourcesKASGOAL: Find case-supporting and actionableinformationSOURCES: Email repositories, Officedocuments, patents, memosANALYSIS: Extract named entities andrelationships, classify and label; visuallydiscover trends and relationshipsACTION: Develop legal theories and prepare forargumentsLegal InformaticsViz/SearchmetadatarelationshipsdataUnderstandingentities
  • 18. Dell’s Kitenga Analytics Suite
  • 19.  Aggregate Count Extract Transform Chart Graph Model Visualize Search PredictTransform Big Data into Actionable Intelligence
  • 20. SearchFacetted Search,VisualizationAnalyticsExtract, Crawl, Index,NLP, Transform,Machine LearningAnalyticalProducerAnalyticalConsumerVisualizationVisualize, Model,Interact
  • 21. Cassandra in the ZooHow Dell Is Integrating Cassandra
  • 22. Cassandra IntegrationToadICCassandraRDBMSSalesforceKASCassandraCrawlsFeeds
  • 23. THANK YOU