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  • 7/27/2019 Oracle Endeca

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    1 | 2012 Oracle Corporation

    Explore All Relevant Data

    Introducing Oracle Endeca Information Discovery

  • 7/27/2019 Oracle Endeca

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    2 | 2012 Oracle Corporation

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    Data Volume, Variety Growth Presents New Challenges

    More and

    Different Data

    Rapid growth instructured and unstructured,

    internal and external data

    More

    Unanticipated

    Questions

    Self-service ability to exploredata, add new data, and construct

    analysis as required

    More Change andUncertainty

    Unanticipated business needscant be addressed by predefined

    models, dashboards, and reports

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    Challenge

    Challenges To Getting Value From More Variety, Volume

    Data variety makes conformingsources to a single modelmore difficult, increasingproject labor costs

    Time And Cost Of Modeling

    = $Uncertainty And Change

    Non-Technical Users

    !

    !

    Changes in integration and

    visualization requirementsforce trade-offs between delayand rapid user adoption

    Business people with domainknowledge to ask the rightquestions cant write thequeries to express them

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    SolutionChallenge

    Information Discovery Overcomes These Obstacles

    Data variety makes conformingsources to a single modelmore difficult, increasing laborcosts

    Time And Cost Of Modeling

    = Uncertainty And Change

    Non-Technical Users

    Changes in integration and

    visualization requirementsforce trade-offs between delayand rapid user adoption

    Business people with domainknowledge to ask the rightquestions cant write thequeries to express them

    Technology that derives itsmodel from the data itself,doing much of the modelingwork on its own

    Rapid prototyping in

    collaboration with thebusiness to uncover andfulfill latent requirements

    Zero-training interfaces thatbring consumer userexperience innovations toenterprise software

    !

    !

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    Interactive Exploration and Discovery

    User experience optimized to foster discovery

    Advanced Search Search look-ahead Spell-correction Data-driven filtering

    Visual Analysis Charting & crosstabs Geographic visualization Tag clouds

    Faceted Navigation Select attributes, like a web site+ +

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    Simplicity of Search, Power of Analytics

    Walk-up ease of use Derived from 10 years of e-

    commerce consumer userexperience

    Search + Faceted Navigation +Visual Analysis

    Search and select attributes, like aweb site

    Interactive Exploration Responsive Endeca Server

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    BI And Data Discovery Are Peers

    Proven Answers ToKnown Questions

    Business

    Intelligence Fast Answers ToNew Questions

    Data

    Discovery

    Drives need for

    Creates new KPIs for

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    Oracle Endeca Information Discovery

    A platform for data discovery applications across the enterprise

    Endeca Information Discovery(EID) helps organizationsquickly explore all relevant data

    Combine structured & unstructureddata from disparate systems

    Rapidly assemble easy to useanalysis applications

    Automatically organize informationfor search, discovery & analysis

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    Discovery Application Lifecycle

    Structured

    Semi-Structured

    Unstructured

    Diverse and changinginformation

    Automatically unified andenriched in Oracle Endeca

    Server no predefinedmodel required

    Drag-and-drop applicationcomposition

    Interactive search,navigation and analytics

    for exploration andanalysis

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    Oracle Endeca Information Discovery

    A platform for data discovery applications across the enterprise

    Integration Suite

    Lightweight ETL with nativeEndeca Server connectivity

    Java SDK for extensibility easilyconnect to additional data feedsand APIs

    Modules for unstructured data: Text Enrichment Sentiment Analysis Content Management System

    Connectors

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    Oracle Endeca Information Discovery Integrator

    Eclipse-based UI Standard ETL functions, And Endeca-specific

    Discovery functions /connectivity into EndecaServer

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    Key-Value Store Model No segmentation into tables No overarching schema

    Simple concepts: Attributes like columns, except may be sparse,

    multi-valued, hierarchical

    Records each record is an arbitrary collection ofattribute/value pairs, identified by a spec attribute Accommodates:

    Idiosyncratic structure!each record is self describing, has its own possiblyunique schema

    Multi-valued fields Unstructured fields

    Faceted Data Model

    Enables easier loading and update of data from any source !?*6@ A BCDCE F0&./3-6@ A GHI J1-#+&08 A K&/*-1)* L)

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    Faceted Data Model: Structured Data

    Structured data can be easily and directlyloaded into a faceted model via ETL!

    Each Tuple becomes a Record Each Column becomes an Attribute

    !"#$% ' ()*)+ ,-./012$% ' 345 67289.-: ' ;.0#27

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    Semi-structured data from enterpriseapplications, feeds, XML sources, etc. caneasily be loaded as attribute/value pairs

    This is a common cause of heterogeneousrecord structure

    !?*6@ A BCDCE F0&./3-6@ A GHI J1-#+&08 A K&/*-1)* L)

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    Unstructured data can be linked to Records by anyavailable key

    Or unstructured elements can be stored as theirown Records for side by side analysis

    Accommodates documents, RSS, Twitter,Facebook, forums, etc..

    !?*6@ A BCDCE F0&./3-6@ A GHI J1-#+&08 A K&/*-1)* L)

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    Any unstructured attribute can beenriched using text analytics toexpand the structure of its containingrecord

    Common techniques include: Automatic tagging Named entity extraction Sentiment analysis Term extraction Geospatial matching

    !?*6@ A BCDCE F0&./3-6@ A GHI J1-#+&08 A K&/*-1)* L)

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    Oracle Endeca Information Discovery

    A platform for data discovery applications across the enterprise

    Studio

    Interactive, visual Discoveryenvironment

    Drag-and-drop configuration Full-featured component library Based on best practice UI design

    patterns

    Built on Java portal technologystandards

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    Application Construction is More Like a Domain

    Expert Conversing with the Data

    Encourages discovery,to gain new insights

    Fast to extend andchange

    Quickly iterate on newdata as it arrives

    Rapidly respond tobusiness changes

    Nocoding

    required

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    Oracle Endeca Information Discovery

    A platform for data discovery applications across the enterprise

    Oracle Endeca Server

    Hybrid search-analytical database Search, navigation,

    and analytics on diverse,changing information

    Architected for Discovery Faceted data model Columnar storage In-memory analytics

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    Endeca Server | Scalability and Performance

    Multicore query parallelism increasescale and reduce latency with additionalcores

    In-memory caching of hot working setof column segments, and query results

    Per-attribute columnar storage Range of built-in automatic compression

    techniques Prefix, String Coding, Run Length, Delta,,

    Variable Length Numeric Coding, etc!

    Generational updates

    Endeca Server

    Disk

    RA

    M

    Cores

    CompressedColumnar

    Physical Storage

    Multi-coreData ParallelQuery Engine

    Data Cache Query Cache

    Date

    Category

    !

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    First Enterprise Solution For Data Discovery

    Combines structured and unstructured data,inside or outside the company

    In-memory performance, but not memory bound Solution for prov

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