ArcSDE - Northeast Arc Users Group

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Spatial index• Spatial index is used to improve performance ofretrieving data• IBM DB2, Oracle, and SQL Server use grid tiles– Goal• Optimize the size of the grid tiles– Balance• Number of features referenced by each tile (features per tiles)• Number of tiles referencing each feature (tiles per feature)• Informix and Oracle Spatial use R-tree Rindexing– R-tree index constructs the index using the featureenvelope• Do not need to calculate any parameters for building R-tree R(built automatically)
Storage model overview• Versioned data gains two additional tables:– Adds table– Deletes table• Allows for the isolation of edits• Compress migrates rows to base table– Depends on work flowSFBusinessD91A91A
Page 8 and 9: New technologies better enablingWor
Page 10 and 11: ESRI’s s GIS Platform
Page 12 and 13: ArcObjects and GeodatabaseArcGIS is
Page 14 and 15: Model Real World Features for bette
Page 16: Processes and Workflows• With inc
Page 19 and 20: Enterprise and Knowledge• Educati
Page 21 and 22: Three kinds of Geodatabases1. Perso
Page 23 and 24: Spatial Data Formats• Storing spa
Page 25 and 26: Database ArchitecturesSQL Server 7/
Page 27 and 28: ArcSDE Connection ArchitecturesAppl
Page 29 and 30: Spatial Referenceby Feature Class o
Page 31 and 32: ArcGIS Desktop HelpPrecision and Ex
Page 33 and 34: ArcSDE data types• Storage of:- P
Page 35 and 36: Common GIS Dataset TypesFeature Cla
Page 37 and 38: Attribute domains, relationships, a
Page 39 and 40: Networks - To model navigation, flo
Page 41 and 42: Feature Datasets• Contain feature
Page 43 and 44: Raster Catalogs - To manage a tiled
Page 45 and 46: ArcCatalogManaging Workspaces and G
Page 47 and 48: ArcSDE client accessArcObjectsArcMa
Page 49 and 50: \arcgis\ArcSDE\Documentation\Admin_
Page 51 and 52: Primary Administrative Tables
Page 53: Storage model overview• ArcSDE fe
Page 57 and 58: ArcSDE and Spatial column typesLAKE
Page 59 and 60: Spatial Datatype Query examplespati
Page 61 and 62: Raster Data SchemaNew at9.0
Page 63 and 64: General Storage Options• Raster D
Page 65 and 66: Raster Catalogs - To manage any ser
Page 67 and 68: Raster Columns in TablesTo hold pic
Page 69 and 70: Compressions DescribedLoss-lessLoss
Page 71 and 72: Compression Recommendations(continu
Page 73 and 74: Pyramids• Reduced resolution copi
Page 75 and 76: Pyramid Enhancements• Raster Data
Page 77 and 78: Shared• Default architecture• E
Page 79 and 80: Standalone1. Created as temporary t
Page 81 and 82: Default settings• SDE_server_conf
Page 83 and 84: What is Versioning?• Provides lon
Page 85 and 86: Versioned geodatabase• Method for
Page 87 and 88: Versions and States• Short Term v
Page 89 and 90: Integration and Performance• ArcS
Page 91 and 92: Geodatabase Constructs• Consider
Page 93 and 94: Views: Functional comparisonHeterog
Page 95 and 96: Different “windows” to datatype
Page 97 and 98: Moving or Exporting Data• Copy an
Page 99 and 100: Future - The Road Ahead“good reas

ArcSDE - Northeast Arc Users Group

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