Learn more About Oracle Big Data Spatial and Graph.

Data Sheet, Feature Overviews and White Papers

Product Data Sheet (2017) (PDF 1.8MB)
 

Product Overview (July 2015) (PDF 2.2MB)
 

Spatial Features Overview (May 2016) (PDF 383KB)
 

Property Graph Features and Performance Whitepaper (December 2017) (PDF 2.8 MB)
 

Videos

More videos on the BDSG YouTube Channel (VIDEOS)
 

Bring Location Analysis to Your Big Data Workloads (January 2017) (VIDEO)
 

Graph Analysis: Oracle Big Data Spatial and Graph (January 2017) (VIDEO)
  

Presentations, Articles and Webcasts

An Introduction to Graph Cloud Services, Database, and Analytics (October 2017) (PDF)
 

Fake News, Trolls, Bots, and Money Laundering: Find the Truth with Graphs (October 2017) (PDF)
 

Big Data on Big Maps: Displaying Vast Amounts of Geospatial Data (October 2017) (PDF)
 

Oracle Spatial and Graph / BIWA Summit 2017 Presentations  (HTML)
 

Oracle Spatial and Graph / BIWA Summit 2016 Presentations (HTML)


Graph Analysis of the Panama Papers with Oracle Big Data Spatial and Graph - Article by Robin Moffatt (October 2016) (DOC)
 

Graph and Link Analysis: Discovering Network Relationships in Big Data (September 2016) (HTML)
 

Build Applications on Spark, Hadoop, and NoSQL with Oracle Big Data Spatial and Graph (September 2016) (HTML)
 

Building a Java Recommender System in 15 Minutes with Graph Technologies (September 2016) (HTML)
 

Bring Graph Analysis to Relational and Hadoop Data (September 2016) (HTML)


Apply Location Intelligence and Spatial Analysis to Big Data with Java (September 2016) (HTML)
 

High-Speed Video and Image Processing with Java and Hadoop (September 2016) (HTML)
 

Big Data Spatial Analysis on Hadoop Webcast hosted by Directions Magazine and presented by the Oracle product team (July 2016) (VIDEO)
 

ODBMS.org Interview with James Steiner (June 2015) (HTML)
 

Hands on Labs

Applying Hadoop Spatial Analysis To Big Data

In this lab, you will learn how to use and apply geo-enrichment and data harmonization services, and geographic and location analysis functions for categorizing and filtering your big data workloads.  It will show you how to:

  • Load common log data like twitter feeds to HDFS, and perform spatial analysis on that data.
  • Develop a RecordReader for this sample data so that spatial analysis functions can be applied to records in the data.
  • Create and use a spatial index for such data.
  • Use RecordReaders for additional data formats like Shape and JSON.
  • Use the HTML5 mapping API to create interactive visualization applications on HDFS data.
Applying Hadoop Spatial Analysis to Big Data (January 2018) (Zip file - 35.3MB)

 

Applying Spark Spatial Analysis To Big Data

In this lab, you will learn how to explore and analyze data from HDFS, from the Oracle database or streamed data.  It will show you how to:

  • Load common log data like twitter feeds to HDFS, and perform spatial analysis on that data.
  • Create and use a spatial index for such data.
  • Filter spatial and non-spatial data with Spark SQL.
  • Perform spatial join analysis using data from HDFS and from the Oracle Database.
  • Perform a nearest neighbor analysis.
  • Use the Streaming API and monitor the results in real time.
  • Use the REST API as data source for the Map API to display the results on map.
  • Use the HTML5 mapping API to create interactive visualization applications on HDFS data.
Applying Spark Spatial Analysis to Big Data (January 2018) (Zip file - 9.3MB)

 

Gain Insight into Your Graph Data

This hands-on lab will show you how to use the key APIs to manipulate property graph data stored in either Oracle NoSQL Database or Apache HBase, perform powerful text query to find vertices and edges of interest, and to pick suitable analytics to gain insight into your data. Specifically, it will use a real-world social graph to illustrate:

  • Core data access layer functions on both Oracle NoSQL Database and Apache HBase
  • Built-in graph analytics including community detection, connectivity, ranking, and recommendation
  • SolrCloud based distributed text search for graph elements
  • Property graph visualization with Cytoscape integration
Accessing the Hands-on Lab:
  • Download the Big Data Lite Virtual Machine here
  • Click the desktop "Refresh Samples" icon, and follow the instructions to fetch the Big Data Spatial and Graph Property Graph HoL/Demo.
  • When the refresh is done, open the following page with the built-in Firefox browser: file:///u01/property_graph_demo/property_graph_hol_big_data_lite_vm_2015_Nov.htm

Partners

 

Partner

   

Product

   

Description

 
               
 

Graph Visualization Tools

 
                 
  Tom Sawyer Software     Perspectives     Tom Sawyer Perspectives is an advanced graphics-based Software Development Kit (SDK) for federating data from multiple sources and building enterprise-class graph and data visualization and analysis applications. 
 
                 
  Open Source     Cytoscape Network Visualizer     "Cytoscape is an open source software platform for visualizing complex-networks and integrating these with any type of attribute data. Plugins are available for various kinds of problem domains, including bioinformatics, social network analysis, and semantic web."

Download the Oracle developed support for Cytoscape (app) to connect Cytoscape to property graphs managed by Oracle Big Data Spatial and Graph.
 

 

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