Big Data Taiwan 2014 Track1-2: Demystifying Big Data: Real-Time Visual Data Discovery (from any source)
Speaker: Scott Southward | Director of Products and Services Asia Pacific at Datawatch Introduction:We tend of think of Big Data as data volume issue exclusively. But what about the Velocity and Variety elements of Big Data? For example, data is increasingly available at real-time speeds, and from disparate sources such as databases, PDF files, webpages, machine data and text files. This trend is only going to grow as organizations demand the ability to make quicker decisions with all the information available. It is no longer feasible to analyze only structured data sources, and to wait until the end of the month, or week to do so. Things can go wrong intra-day! Learn how Visual Data Discovery enables the identification of patterns and outliers in data at any speed, and from virtually any source, to highlight ‘what you don't know, but should'.
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Big Data Taiwan 2014 Track1-2: Demystifying Big Data: Real-Time Visual Data Discovery (from any source)
- 2. Datawatch Today Founded in 1986, Public Since 1992 (NASDQ CM: DWCH) Global Operations and Support ! US ! EMEA: UK, Germany, ! Asia Pac: Australia, Singapore, Philippines Leader in Visual Data Discovery Pioneer in Transforming All Types of Information ! Structured (RDBMs, Data Warehouses) ! Semi-Structured (PDF, Reports, Text …) ! Unstructured (Log Files, EDI …) Over 40,000 customers worldwide ! 99 of the Fortune 100 & 487 of the Fortune 500 ! Large Number of SMB ! Across All Verticals 2
- 3. Premier & Expansive Customer Base Financial Services HealthCare Government Other Industries 3
- 8. vs+
- 9. Real&4me&
- 11. Competitive Forces Driving Higher Velocity Perform&Trading&Analy4cs& Document&Transfer&& Handle&Call&Center&Inquiries& Se1le&Trade/Transac4on& BuildLtoLOrder&Product& Refresh&Data&Warehouse&& Airline&Opera4ons& Track&Financial/Risk&Posi4on& Supply&Chain&Updates& Phone/Service&Ac4va4on& 1&month& 3&days& 6&weeks& 5&days& 30&minutes& 20&minutes& 8&hours& 1&day& 1&day& 3&days& 1&hour& Mail… express… fax… e-mail 20&seconds& 1&day& 1&day& 5&seconds& 30&seconds& 10&seconds& 5&minutes& 15&minutes& 1&hour& Process Cycle-Time Improvements Source:&Gartner&
- 13. Structured Unstructured HighLow DATA VARIETY DATAVOLUME Next GenerationAnalytics 13 Tradi&onal+BI++ &+Analy&cs+ Next+Genera&on++ Analy&cs+
- 14. Next GenerationAnalytics ProvidesGreatest DataVARIETY Structured Semi-structured Unstructured AttheVELOCITY OfBusiness High Latency Low Latency Real-time VISUALDiscovery Environment High Impact Graphics Dynamic Navigation Time Series Data 14
- 15. Visual Data Discovery: “What you don’t know… but should” Direct real-time and CEP connectors Active MQ CSV Database JSON KDB+ KDB+ Tick MDX MS Excel Odata OneTick Access all unstructured data sources via Datawatch engine Consumable anywhere, anytime HEATMAPSCHARTSTREEMAPS Oracle One Tick CEP Qpid SVG Sybase Aleri Sybase CEP Text Thomson R.. XML
- 16. Visual Data Discovery: “What you don’t know… but should” Direct real-time and CEP connectors Active MQ CSV Database JSON KDB+ KDB+ Tick MDX MS Excel Odata OneTick Access all unstructured data sources via Datawatch engine Consumable anywhere, anytime HEATMAPSCHARTSTREEMAPS Oracle One Tick CEP Qpid SVG Sybase Aleri Sybase CEP Text Thomson R.. XML
- 17. Wide Range of Visualizations
- 18. Application Areas Capital Markets Pre/Post Trade Analytics Trading (Human and Algo/CEP) Risk Oil & Gas Production analysis Grid utilization monitoring Predictive maintenance Telecommunications Network performance utilization Fraud monitoring Call centersCapacity analysis Other Areas Machine Data Analysis Call Center Analysis Healthcare Analysis … 18
- 21. Stores Portfolio
- 23. Shopping Mall Footfall Traffic 23
- 24. North Sea Oil Production
- 25. Brokerage
- 26. Datawatch Demo