Learn techniques to optimize performance with Oracle Spatial and Graph. Topics covered will include parallel query best practices, vector performance acceleration in 12c, and other spatial query optimizations deployed by real world customers.

Daniel Geringer, Oracle / Session 1149

Location analysis and map visualization are powerful tools to apply to data sources like social media feeds and sensor data, to uncover relationships and valuable insights from big data. Oracle Big Data Spatial and Graph offers a set of analytic services and data models that support Big Data workloads on Apache Hadoop and NoSQL database technologies.

Siva Ravada, Oracle / Session 1150

This session will focus on the GeoRaster capabilities of Oracle Spatial and Graph. GeoRaster is a large-scale raster database management system. It also features high performance computing (HPC) including locality computing, concurrent processing, parallel processing, and in-memory processing for database manipulation, image processing, and raster analytics.

Qingyun (Jeffrey) Xie, Oracle / Session 1159

3D city models are serving a variety of purposes today, from city marketing to the determination of optimal locations for photovoltaic panels to simulations of noise emission patterns. The development of large 3D city models has become economically viable after the cost of data acquisition - be it through laser scanning or image matching techniques - has gone down significantly in recent years.

Hans Viehmann, Oracle / Session 1174

Analytic applications help organizations gain better insights into operational performance and value, and achieve goals such as increasing customer retention and improving asset utilization. Mapping and location offer dense visualization, familiar context, and powerful association.

LJ Qian, Oracle / Session 1151

Learn how to leverage Geospatial capabilities for managing assets using Oracle Enterprise Asset Management and geographic information system (GIS) integration. Esri Maps, Google Maps, Oracle Spatial and Graph, and other GIS tools are used by organizations for asset maintenance.

Sudharsan Krishnamurthy, Oracle / Session 1279

The analysis of catchment areas for points-of-sale in the Retail industry is highly relevant. It is used in site planning, targeted marketing or a variety of other analytical processes.

Albert Godfrind, Oracle / Session 1273

Build Your Own Maps with the Big Data Discovery Custom Visualization Component (Available upon Request)

Most organizations that manage a large number of geographically dispersed assets (such as public sector agencies, oil and gas companies, agriculture and mining companies, etc) require the ability to visualize and analyze the location of these assets in a spatial context. The current Oracle Big Data Discovery product includes basic mapping tools but does not provide enough capabilities to effectively analyze the geographic context of their assets.

Chris Hughes, Oracle / Session 1280

Graph databases offer a scalable and high performance platform to model, explore, analyze, and link data for a wide range of applications. The first half of this session will provide a broad introduction to graph databases and how they are used to drive social network analysis, IoT, and linked data applications.

Xavier Lopez, Oracle, and Mark Rittman, Rittman Mead / Session 1148

Interactive Map Visualization of Large Datasets in Analytic Applications

Analytic applications help organizations gain better insights into operational performance and value, and achieve goals such as increasing customer retention and improving asset utilization. Mapping and location offer dense visualization, familiar context, and powerful association.

LJ Qian and David Lapp, Oracle / Session 1152

Applying Spatial Analysis To Big Data

Location analysis and map visualization are powerful tools to apply to data sources like social media feeds and sensor data, to uncover relationships and valuable insights from big data. Oracle Big Data Spatial and Graph offers a set of analytic services and data models that support Big Data workloads on Apache Hadoop.

Siva Ravada and Eve Kleiman, Oracle / Session 1157

Gain Insight into Your Graph Data -- A hands on lab for Oracle Big Data Spatial and Graph

The first release of Oracle Big Data Spatial and Graph adds support for a new graph data model, property graph, a persistent and scalable graph data storage, over 30 built-in powerful graph analytics, distributed text query of graph elements, and more. In this hands-on lab, we 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.

Zhe Wu, Oracle / Session 1170

Learn best practices and techniques from Neustar’s experience to build robust, scalable cloud-based applications using Oracle Database 12c Spatial and Graph, Partitioning, RAC, Advanced Security and Oracle Weblogic 12c. Neustar’s analytics platform delivers marketing insights to its customers quickly and efficiently - backed by a 2.5TB database with 4.8B geospatially enabled rows of information.

Nick Salem, Neustar / Session 1131

Zain is one of the largest mobile and data service operators in the Middle East. Active in 7 countries with more than 44 Million subscribers. Zain decided to implement location based services mainly depending on network positioning.

Ali Ufuk Peker and Kerem Par, Infotech / Session 1196

Delivery and courier services are rapidly changing due to recent technological advancements, E-commerce competition and crowdsourcing business models. These revolutions pose new challenges to the well-studied vehicle routing problem for online retail services such as Google Express and Amazon Now.

Ugur Demiryurek, University of Southern California / Session 1277

Cloud databases provide a flexible and cost-effective way to manage large volumes of data. To integrate silos of data into centralized Oracle Cloud database systems, data transformation technology can be leveraged.

Steve MacCabe, Safe Software / Session 1266

Bechtel's large engineering and construction projects require a vast amount of varied spatial data for real-world problem solving. The ability to manage and manipulate these data on an Enterprise basis is well-served in an Oracle Spatial and Graph 12c database environment, where the spatial data that technical specialists and engineers need can easily be analyzed to support the work that they do.

Tracy McLane, Bechtel / Session 1252

Atlas is a platform for Pipeline GIS and asset management and analysis for oil and gas, which can also be implemented for any linear asset management application. Existing transmission pipeline models and data management systems pose challenges in terms of maintenance, data quality, and redundancy.

David Ellerbeck, Global Information Systems / Session 1267

As a telecommunications company, most of the work is outside of the office and most of the assets are lying under the ground. Therefore, service offerings to end-customers are strictly dependent on those assets.

Murat Altiparmak and Murat Hancerogtu, Turk Telekom / Session 1278

The role of national mapping agencies is changing. We are under greater scrutiny to deliver higher value content and services and make data open.

Debbie Wilson, Ordnance Survey / Session 1254

Ordnance Survey International has a strategic 5 year cooperation agreement with the Survey and Land Registration Bureau (SLRB) in Bahrain to enable them to become recognised within the Kingdom of Bahrain and internationally as a world class provider of land registration and spatial data management.

Debbie Wilson, Ordnance Survey / Session 1255

In the Netherlands, large scale map data is being maintained by numerous government agencies. These data reside in proprietary data sets which are stored in different formats

Richard Huesken, Transfer Solutions / Session 1281

This presentation will share how customized applications using OBIEE and Oracle MapViewer 12c offered solutions to the Brazilian Electoral Justice system, to identify the location and geographical distribution of potential fraud and failures in the 2014 Brazilian elections, considering the information provided by the biometric voting system.

Alex Cordon and Henrique Da Silva, CDS / Session 1229

Police agencies and intelligence organizations are rapidly accumulating data from a variety of sources. Analysts are looking for ways to sift through their data and transform it into discrete and actionable intelligence.

Kevin Madden, Tom Sawyer / Session 1260

The mission of National Statistical Institutes (NSIs) is to publish Official Statistics to policy makers, reserachers and the general public. Recently, NSIs have begun adopting Linked Data techniques to carry out their information dissemination activities.

Monica Scannapieco, Istat / Session 1221

Organizations are considering more nimble and lower cost cloud services to enhance workers' collaboration, productivity, and business insight. Inail, the Italian Government Workers Compensation Authority (Istituto Nazionale Assicurazione contro gli Infortuni sul Lavoro), chose the Oracle Cloud Platform, a public platform as a service (PaaS) to manage insurance coverage for workplace accidents and incidents in ten Italian regions.

Patrizio Galasso, INAIL Italy, and Giovanni Corcionne, Oracle / Session 1237