Industrial Workshop [November 3, 2015]
23rd ACM SIGSPATIAL
International Conference on Advances
in Geographic Information Systems
November 3-6, 2015 — Seattle, Washington, USA
In 2015, SIGSPATIAL will host an industrial workshop. Key leaders, developers and researchers from leading companies producing well-established systems in areas related to SIGSPATIAL will give invited talks in this workshop. The workshop is organized as a two session event. The first session will be about more introductory material to key products from these leading vendors, intro to their use as well as other information that may help developers and researchers at large. The second session will cover more in depth investigations into the usage and development of products as well as future directions and challenges. All who are registered to the workshops in SIGSPATIAL workshop day are welcome to attend.
|Share Big Geodata at Web-Scale on AWS||
Amazon Web Services (AWS)
|The Arc-GIS Platform - Enabling GIS Everywhere||
Dr. Erik Hoel
|Developing Enterprise Application with Oracle Spatial||
Dr. Siva Ravada
|1:30PM - 3:30PM||Session 1|
|3:30PM - 4:00PM||Break|
|4:00PM - 6:00PM||Session 2|
|6:00PM - 6:30PM||Open discussions and Question|
Dr. Egemen Tanin, University of Melbourne, Australia
Dr. Goce Trajcevski, Northwestern University, USA
Amazon Web Services has changed the economics of IT and has more than a million active customers in 190 countries, including 1,700 government agencies and 4,500 education institutions. AWS customers benefit from massive economies of scale on shared infrastructure, but they most often mention the speed and agility afforded by deploying on AWS as its most important feature. One of the services that makes this possible is Amazon Simple Storage Service (Amazon S3), our object store, and one of our first services. S3 plays a central role in many systems and is now home to trillions of objects. It regularly peaks at millions of requests per second and is used to store many kinds of data, including genomic, video and satellite imagery. One of the fundamental differences between S3 and traditional file systems is that you can securely share data at web-scale without financial risk across systems. This makes using S3 to store data especially attractive for public sector and education customers who want to either make data more open, or peer with other institutions in a secure manner.
The first session will illustrate best practice for open or shared data in the cloud. I will spend some time speaking to some of the lesser known features of S3, including the requester pays feature. Having covered the basics on S3, I will use a simple map tiling architecture that uses CloudFront (CDN), Lambda (Compute service), and Mapserver/GDAL running on an auto-scaling EC2 (VMs) group, to show how this works in practice across organizational accounts.
For those of you interested in going deeper, the second session will focus on what you need to know in order to build your own national or even global map server, using the first session's real-time map tiling architecture. Because the GeoTIFFs used in this demo are stored in a requester-pays marked bucket that allows authenticated read access, anyone with an AWS account has immediate access to all of the source big geo-data, and can bulk copy the data where they desire. However, I will show that the cloud, because it supports both highly available and flexible compute, makes it unnecessary to move the data anywhere, allowing for one authoritative store of data to service a world of different systems and users.
About the Speaker
Mark Korver is the Geospatial Lead on the Solution Architecture team at Amazon Web Services (AWS) and is based in Seattle. He has 8 years of experience building cloud architectures both as a customer and employee of AWS. With his many years running companies focused on geospatial, Mark has a dual role in business development and technical architecture.
Before focusing on Geospatial, Mark was the first Solution Architect on the State Local Government and Education team (SLED), part of the Worldwide Public Sector group. During the formative years of thfe SLED team, Mark served customers across the US, supporting projects at universities such as MIT, University of Washington, Berkeley and Stanford and worked with public entities such as the Seattle Police Department and King County, WA.
Prior to Amazon, Mark was CTO/Founder at SpatialCloud LLC, a geo-services startup running on AWS. Before that, Mark started and spent 10 years building Alchemedia Inc. a software development firm based in Tokyo. At Alchemedia he helped create a business with core strengths in commercial mortgage loan management systems and delivered geo-enabled applications to customers including Kajima Corp., AutoDesk Japan, Minato City Government (Tokyo), NTT group, Lehman Brothers, Misawa Homes, Hitachi, Japan Space Imaging, Zenrin, Shimizu Corp, and the University of Tokyo. Mark holds a Master in City Planning from MIT with a specialization in Technology Transfer as it applies to international development projects and is proficient in Japanese.
ArcGIS is a comprehensive platforms for mapping, analyzing, and managing geographic information. At its core, the ArcGIS Platform enables GIS everywhere through its Web GIS model; this includes desktop, web, and mobile devices. ArcGIS is powered by services which are used to organize content, manage access, and providing powerful analytics. This enables you to discover patterns, relationships, and trends in your data that are not readily apparent in databases, spreadsheets, or statistical packages. Beyond showing you your data as points on a map, ArcGIS gives you the power to manage and integrate your data, perform advanced analysis, model and automate operational processes, and display your results on professional-quality maps and apps.
In the first session of the workshop, we will give an overview of the ArcGIS Platform, focusing on the Web GIS model. This includes how enterprise GIS is supported by ArcGIS for Server, running either on-premises or in the cloud. Complex analytics, imagery, 3D, real-time, and distributed processing are all part of this platform. In addition, we will detail how desktop (ArcGIS Pro), web, and mobile apps can take advantage of this capability in either a connected or disconnected manner. The second session will dive into some of the more interesting aspects of working in both the real-time and batch environments when processing vector, raster, and observational big data.
About the Speaker
Erik Hoel is a Computer Scientist working in the Software Research and Development Division of Esri. Esri creates GIS software tools and platforms, and apps that enable organizations to effectively analyze and manage their geographic information. Erik is the development lead of the Geodata Management Group; this group is responsible for the information and transaction models for the ArcGIS platform.
Erik is currently focused on developing software for Big Data analytics, network models and solutions for utilities (electric, telco, gas, and water), and mobile platforms. Dr. Hoel's research interests include: spatio-temporal information systems, distributed processing, NoSQL and relational databases, geographic information systems, mobile computing, and geostatistical analysis. Erik has over 25 years of experience in the computer software industry. He has authored more than 35 conference and journal papers, serves as an action editor of Geoinformatica, and has participated on numerous program committees. Erik received his PhD in Computer Science at the University of Maryland under Hanan Samet in 1995.
Oracle Spatial, an option for Oracle Database, offers advanced capabilities to support high-end geographic information systems (GIS) and location-enabled business solutions. The spatial features in Oracle Spatial include high performance, advanced analytics for a complete range of geospatial data – geocoding, routing, topology management, raster and gridded data, and 3D data – to address the requirements of the most demanding, large-scale geospatial applications. These application include land management and GIS, wireless location services, transportation, LiDAR analysis and location-enabled Business Intelligence.
In the first session of this workshop, we present the state of the art of Spatial features in the Oracle Database. This session will cover the basic concepts of managing spatial data in a database along with some advanced topics to to show how to build spatial applications using the features in the database. In the second session of this workshop, we present the new trends and emerging platforms for managing large scale spatial data and the application frameworks that are required to build powerful applications using these new technologies.
About the Speaker
Siva Ravada is a Senior Director of Development at Oracle Corporation. He manages the spatial development teams at Oracle in the areas of Database, Middleware and Big Data. Siva has more than 17 years of software development and management experience in the GIS and Spatial industry. He is also an active member of the research community with more 50 patents and publications. He also serves on the editorial board of the GeoInformatica journal in addition to serving on various program committees for SSTD and SIG SPATIAL conferences.