Esri and MarkLogic: Location Analytics, Multi-Model Data

Transcription

1 Esri and MarkLogic: Location Analytics, Multi-Model Data Ben Conklin, Industry Manager, Defense, Intel and National Security, Esri Anthony Roach, Product Manager, MarkLogic James Kerr, Technical Director, Partner Enablement, MarkLogic 4 June 2018 MARKLOGIC CORPORATION

2 Location Analytics + = Multi-Model Data Integration Location Analytics for ALL your Data SLIDE: 2 4 June 2018 MARKLOGIC CORPORATION

3 insurance Insurance

4 healthcare Healthcare

5 govt Government

6 Esri ArcGIS Patterns of Use

7 ArcGIS Common Patterns of Use Mapping & Visualization Data Management Field Mobility Monitoring Analytics Understand locations and relationships with maps and visual representations Collect, organize, and maintain accurate locations and details about assets and resources Manage and enable a mobile workforce to collect and access information in the field Track, manage, and monitor assets and resources in real-time Discover, quantify, and predict trends and patterns to improve outcomes Design & Planning Decision Support Constituent Engagement Sharing & Collaboration Evaluate alternative solutions and create optimal designs Gain situational awareness, and enable information-driven decision making Communicate and collaborate with citizens and external communities of interest Empower everyone to easily discover, use, make, and share geographic information

8 Supporting Operations

9 Enabling People to Discover, Use, and Share Maps

10 Enabling Anytime, Anywhere Access to Maps

11 Create Shared Situational Awareness

12 MarkLogic and Esri Integration

13 Challenge Expose spatial and non-spatial data stored in MarkLogic to Esri tools Minimize coding required to work with new or existing databases Leverage MarkLogic s multi-model data management capabilities SLIDE: 13 4 June 2018 MARKLOGIC CORPORATION

14 Data Architecture ASK ANYTHING UNIVERSAL INDEX DOCUMENTS (JSON/XML) ROW INDEX VIEW Feature Row Layer FEATURE SERVICE Feature Feature Geometry Geometry GEOSPATIAL INDEX Geometry Geometry SLIDE: 14 4 June 2018 MARKLOGIC CORPORATION

15 Esri Connector Architecture LAYER METADATA SERVICES ARCGIS PRO ADD-IN KOOP PROVIDER SERVICE OPTIC API S E A R C H KOOP VIEWS A P I MARKLOGIC KOOP PROVIDER FEATURE SERVICE TEMPLATES Service Descriptor Service Service Descriptor Descriptor DOCUMENTS (JSON/XML) GEOSPATIAL ASK ANYTHING UNIVERSAL INDEX SLIDE: 15 4 June 2018 MARKLOGIC CORPORATION

16 TDE Project different views of your data Expose views as layers Views determine what fields are exposed in the layers Each row becomes a feature accessible via the feature service Easily create views to expose existing data sets as feature service layers/tables SLIDE: 16 4 June 2018 MARKLOGIC CORPORATION

17 Feature Service Descriptors Defines the Feature Services Configures Layers Set the View for each Layer Set the Bounding Query for each layer Set what Geospatial Indexes to use Generate Feature Service and Layer metadata responses SLIDE: 17 4 June 2018 MARKLOGIC CORPORATION

18 Koop Extensible JavaScript toolkit for connecting incompatible spatial APIs Maintained by Esri Node.js Express server Translate GeoJSON into Esri JSON Pluggable Providers SLIDE: 18 4 June 2018 MARKLOGIC CORPORATION

19 MarkLogic Koop Provider Provider plugin for Koop Pass-thru to a REST extension service Translates Feature Service requests to Optic API calls Configurable via Feature Service Descriptors SLIDE: 19 4 June 2018 MARKLOGIC CORPORATION

20 Optic API Query layer to join entities and aggregate over documents Efficiently distributes work across the cluster Combine joins and aggregates with document queries Join triples Extract parts of documents SLIDE: 20 4 June 2018 MARKLOGIC CORPORATION

21 Optic Query Pipeline Layer descriptor determines the view Convert SQL WHERE to Optic expressions Fetch GeoJSON from the documents (if requested) From View CTS Where Optic Where Order By Offset Limit Join Doc Select GeoJSON Feature GeoJSON Feature GeoJSON Feature Layer Bounding Query AND Geo Bounding Query SLIDE: 21 4 June 2018 MARKLOGIC CORPORATION

22 Optic Aggregation Pipeline Layer descriptor determines the view Convert SQL WHERE to Optic expressions From View CTS Where Optic Where Group By Order By Offset Limit Stats GeoJSON JSON Feature GeoJSON Feature Layer Bounding Query AND Geo Bounding Query Convert Esri group by and stats parameters to Optic expressions SLIDE: 22 4 June 2018 MARKLOGIC CORPORATION

23 ArcGIS Pro Add-In Configuration driven Query and explore documents directly from with ArcGIS Pro Quickly visualize search results as overlays Save searches as new layers in the Feature Service Export features into standard Esri formats SLIDE: 23 4 June 2018 MARKLOGIC CORPORATION

24 Insights Demo Integrate data from multiple sources and visualize subsets in Insights Source 1 Source 2 Data Hub SLIDE: 24 4 June 2018 MARKLOGIC CORPORATION

25 ArcGIS Pro Demo Use ArcGIS Pro to directly explore and analyze data in MarkLogic Access stored layers from other analysis tools ESRI CONNECTOR SLIDE: 25 4 June 2018 MARKLOGIC CORPORATION

26 Demo

27 Esri Connector Capability Summary Expose the power of full-text indexing, geospatial indexing and row-based indexing via one interface Configuration-based Standard interface to expose data to any Esri tool Expose data from existing or new applications Leverage existing index configurations JSON and/or XML documents Location Analytics for ALL your Data SLIDE: 27 4 June 2018 MARKLOGIC CORPORATION

28 Preview of New Capabilities

29 MarkLogic as an Insights Data Source Insights will provide an extensible data source architecture MarkLogic data source available in July 2018 Search and discover data in MarkLogic directly from Insights Analyze and visualize structured data projected from documents Analyze and visualize linked data SLIDE: 29 4 June 2018 MARKLOGIC CORPORATION

30 Questions?