Apache: Big Data 2016 has ended
Register Now or Visit the Website for more Information 

Sign up or log in to bookmark your favorites and sync them to your phone or calendar.

Geospatial [clear filter]
Tuesday, May 10

9:00am PDT

Open Geospatial Standards and Open Source - George Percival, Open Geospatial Consortium (OGC)
The aim of this talk and the geospatial track is to increase the benefits of implementing open source consistent with open geospatial standards. Open standards capture geospatial knowledge gained from previous experience for reuse. Accuracy in data exchange is increased by using standards. Even “simple” use cases done inconsistently cause errors, e.g. coordinate order. Standards from the Open Geospatial Consortium (OGC) applicable to Apache projects include: coordinate systems, geometry, grids, spatial relations, web services, encodings, metadata. Multiple Apache projects include geospatial implementations as highlighted in this track. To aid in code refuse this track seeks to increase coordinations across Apache projects based on geospatial standards as well as with other external activities. An anticipated outcome of this track is increasing geo-collaboration of Apache and OGC.

avatar for George Percivall

George Percivall

CTO, Chief Engineer, OGC
As CTO and Chief Engineer of the Open Geospatial Consortium (OGC), George Percivall is responsible for the OGC Interoperability Program and the OGC Compliance Program. His roles include articulating OGC standards as a coherent architecture, as well as addressing implications of technology... Read More →

Tuesday May 10, 2016 9:00am - 9:50am PDT
Plaza A

11:20am PDT

Applying Geospatial Analytics Using Apache Spark Running on Apache Mesos - Adam Mollenkopf, Esri
This session will explore how to apply spatiotemporal analytics using Apache Spark on high velocity streaming data-in-motion and high volume batch data-at-rest. A comparison of available open source geospatial libraries will be reviewed including Apache SIS, Magellan, JTS, and the esri/geometry-api-java. Demonstrations will be shown on how to integrate a geospatial library with Spark analytics and how these analytics can be run on an Apache Mesos cluster to provide a highly scalable solution with elastic capabilities. Examples will focus on applications in the connected car space and smart cities and smart communities.

avatar for Adam Mollenkopf

Adam Mollenkopf

Real-Time & Big Data GIS Capability Lead, Esri
Adam Mollenkopf is responsible for the strategic direction Esri takes towards enabling real-time and big data capabilities in the ArcGIS platform. This includes having the ability to ingest real-time data streams from a wide variety of sources, performing continuous and recurring... Read More →

Tuesday May 10, 2016 11:20am - 12:10pm PDT
Plaza A
Wednesday, May 11

11:50am PDT

Geospatial Querying in Apache Marmotta - Sergio Fernandez, Redlink GmbH
Apache Marmotta provides different means of querying: SPARQL, LDPath, LDP, etc. GeoSPARQL provides an extension to the SPARQL constructs to represent and query geospatial data. The talk will present the development recently done to add GeoSPARQL support in Marmotta, going through the challenges and potential of this new set of features, demoing some of then during the talk.

avatar for Sergio Fernández

Sergio Fernández

Software Engineer, Redlink GmbH
I'm a Software engineer specialized in innovation, with a focus on Data Architectures. My interests include Distributed Architectures, Data Integration, Linked Data and System Engineering. I've worked as software engineer and project manager in different industries, but always somehow... Read More →

Wednesday May 11, 2016 11:50am - 12:40pm PDT
Plaza A

2:00pm PDT

Spatial Data Based People/Vhicles Trails Analysis to Support Precision Urban Planning - Yonghua Zeng, IBM
In this session, the presenter will share the experience on how to use the hadoop based big data technology with huge cellular signal data, RFID, and GPS data to analyze and predict people and vehicles trails, to support the precision urban planning. This whole architecture includes,
11) Data ingestion kafka+streaming to collect and preprocessing the real-time generated cellular signal data, RFID and GPS data(200G+ per day)
2) Algorithm model with spatial data computation using Spark core and MLib to analyze and predict people and vehicles trails on the data collected
3) SQL on Hadoop technology to provide the interactive query and analysis for frontend applications
4) Spatial data visualization with GIS and grid technology to render the heatmap, people residency distribution, real traffic road status, OD map etc


yonghua zeng

solution architect of big data, IBM
Henry Zeng, senior architect of big data and analytics based in IBM China Development Lab.Henry has more than 10 years experience on data management related products, system and applications development and architecturing, he has two bookspublished in this area. He is now the solution... Read More →

Wednesday May 11, 2016 2:00pm - 2:50pm PDT
Plaza A

3:00pm PDT

Crowd Learning for Indoor Positioning - Thomas Burgess, indoo.rs GmbH
Real-time accurate indoor positioning poses many new possibilities and challenges. At indoo.rs (Austrian based start-up founded in 2010), we enable positioning within mobile applications (Android/iOS) so that users can find themselves and navigate through floor plans. In practice, we estimate location and movement, using motion sensors and comparisons of radio scans (WiFi/iBeacon) to pre-measured reference measurements (fingerprints). We currently are transitioning from using dedicated measurements to an approach that learns and updates references by analyzing data from navigating users.This approach uses the Hadoop ecosystem to combine the output of the IOT network of mobiles and beacons with big data based machine learning and near real-time analytics (including visualizations). The complete solution reduces implementation and maintenance cost of installing indoor location.

avatar for Thomas Burgess

Thomas Burgess

Director of research, indoo.rs GmbH
Thomas is the CRO of indoo.rs and leads its research efforts since 2012. Earlier, he did his PhD in particle physics at Stockholm University for the AMANDA/IceCube neutrino telescopes, and worked as a postdoctoral researcher at University of Bergen for the ATLAS experiment at the... Read More →

Wednesday May 11, 2016 3:00pm - 3:50pm PDT
Plaza A