endeca techtalk slideshow
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The CompanyThe Company
based in Cambridge, MA
f d d i 1999founded in 1999
considered the pioneer of faceted searchp
derived from German entdecken meaning “to discover”
bought by Oracle in 2011 for $1.075B
Product OverviewProduct Overview
Endeca InFront SuiteEndeca InFront Suite
Faceted Search & Navigation
SEO
Page Builder
WorkBenchWorkBench
Developer Studio
Developer StudioDeveloper Studio
Tool to visualize and develop the data pipelineTool to visualize and develop the data pipeline
Map incoming data to Endeca properties
Define search dimensions
Define search interfaces
Insert custom data manipulatorsInsert custom data manipulators
Push settings to running Endeca instance
IntegrationIntegration
Hybris integrationHybris integration
Any data can be indexed if formatted to Endeca specification
Data is exported
Index scripts process exports
Incoming data goes through pipelineIncoming data goes through pipeline
Search records are updated
Index ProcessingIndex Processing
Baseline Update
Full index that clears all data in MDEX and refreshes all indexes. MDEX is down.
Partial Update
Incremental update that is performed through a merge in memory.Incremental update that is performed through a merge in memory. No downtime.
Partial RemovePartial Remove
Incremental remove that is performed through a merge in memory. No downtimeNo downtime.
Search & NavigationSearch & Navigation
Faceted Search
G id d N i tiGuided Navigation
Spell Correctionp
Word Stemming
Thesaurus
Architecture ComponentsArchitecture ComponentsMDEX
th i d i d i i th t id th f ti lit f llthe indexing and querying engine that provides the core functionality for all Endeca. MDEX Engine is stateless and hence requires the query to have all the parameters to be provided each time.
DGraph
Endeca data store
Platform Services
This consists of mainly Endeca Information Transformation Layer and Endeca y yapplication controller (EAC).
EAC consists of EAC central server and agents. EAC centeral server manages all agents.
Architecture OverviewArchitecture Overview
Endeca Box 1 Endeca Box 2Endeca Box 1 Endeca Box 2
Platform Services
Workbench
DGraph1 DGraph2 DGraph3 DGraph4p p p pMDEX MDEX
Use CasesUse Cases
Marketing
P tiPromotions
A/B Testingg
Type ahead or autocomplete
Guided Navigation
Endeca vs SolrEndeca vs. SolrEndeca
crazy expensive
sorts search results on fields
tasks can be pushed to business
faster time time to market
Solr
free
uses relevancy algorithm to sort results
Endeca vs GoogleEndeca vs. GoogleEndeca
Many tools and customizations
Mature eCommerce offeringMature eCommerce offering
Full control of data manipulation
Googleg
More of a black box
eCommerce features are fairly new
Google is Google
Pro and ConsPro and ConsPros
Highly configurable
Workbench empowers businessWorkbench empowers business
Efficient index jobs
Fast & Stable
Cons
Workbench UI
Error reporting
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