oracle endeca
TRANSCRIPT
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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
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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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7/27/2019 Oracle Endeca
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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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7/27/2019 Oracle Endeca
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11 | 2012 Oracle Corporation
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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7/27/2019 Oracle Endeca
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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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7/27/2019 Oracle Endeca
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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
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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..
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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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7/27/2019 Oracle Endeca
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18 | 2012 Oracle Corporation
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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7/27/2019 Oracle Endeca
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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 provisioning targeted discovery apps
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7/27/2019 Oracle Endeca
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Model-As-You-Go Deployment in CPG
Derives own model from the incoming records anddocuments
Changes in data automatically appear in UI Drag-and-drop app composition
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Consumer Ease-of-Use at Land OLakes
Integrated search, faceted browsing and analytics Faceted browsing across diverse data Faceted analytical model encourages exploration
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25 | 2012 Oracle Corporation