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CyberGIS Fall Workshops

Ready to supercharge your geospatial research? The CyberGIS Center is pleased to announce its Fall Workshop series. These workshops provide hands-on training with cutting-edge CyberGIS applications with a focus on big data handing and analysis. Students, staff, and faculty are all welcome to attend, and light refreshments will be provided.

These workshops will be held in the Computing Applications Building room 264. Capacity for each workshop is limited, and advance registration is required.

Data Parallelism for GIS Analysis

Date: Thursday, November 12th
Time: 2:00 pm – 4:30 pm
Register by Wednesday, November 11th

Do you have a geospatial computation task that works, but you wish was faster? Often, geocomputation can be accelerated by dividing the work domain into separate regions and running computations for each in parallel. This workshop will introduce the fundamentals of data parallelism and give participants some practical approaches to geocomputing quickly. We will discuss both out-of-the-box parallel applications and how to structure custom models in Python and R.
This workshop is a major revision from one previously offered on 07/30/15.


 Taming Big Geospatial Data with Hadoop

Date: Wednesday, November 18th
Time: 2:00 pm – 4:30 pm
Register by Tuesday, November 17th

Hadoop is a well-known distributed computing framework for dealing with very large datasets. This course beings with an introduction to the Hadoop ecosystem and focuses on Apache Hadoop and Spark in particular. It further exploits the integrated MapReduce computing paradigm for efficient processing and visualizing big geospatial data. This course offers hands-on sessions for audiences to interact with the Hadoop and Spark clusters setup in the ROGER system, the first supercomputer dedicated for GIS.
This workshop is a major revision from one previously offered on 03/17/15.

 

Data Science with Pig on Hadoop

Date: Friday, November 20th
Time: 2:00 pm – 4:30 pm
Register by Thursday, November 19th

This course is primarily designed for researchers who need to understand how to apply data science to large datasets with Hadoop. Data scientists often find themselves needing to transform raw data to provide structure to the data. Pig allows users to write complex MapReduce transformations using a simple scripting language called Pig Latin. In this workshop, we will cover Pig scripts and relations. Further, we will learn how to run Python functions commonly used by data scientists on a Hadoop cluster using two Pig techniques: Pig user defined functions, and Pig stream command.
This workshop is a minor revision from one previously offered on 08/06/15.

 

Leveraging Distributed Databases in CyberGIS

Date: Friday, December 4th
Time: 2:00 pm – 4:30 pm
Register by Thursday, December 3rd

This course focuses on the technologies for Big Data management by introducing a suite of state-of-the-art distributed databases, specifically, MongoDB, Cassandra and Redis. In particular, we will discuss what distributed databases are, when and how to use them, and what are the key differences among them. We will showcase the functionalities of these distributed databases with a focus on their applications for geospatial Big Data. In addition, through the crafted hands-on sessions, participants will learn how these distributed database are deployed and configured in different computing environment, as well as how to work with the spatial databases, e.g. loading and querying the data.
This is a new workshop.

 

To be notified of upcoming training and other events at the CyberGIS Center, sign up on our mailing list. These and other events are on our calendar.

If the workshop you are interested in is already at capacity, please contact:
Johnathan Rush
Education, Outreach, and Training Coordinator
CyberGIS Center for Advanced Digital and Spatial Studies
jfr@illinois.edu