Empower your Geospatial Application with NoSQL Database

Agenda:

6.30 - 7.00: Doors open, socializing (food, beverages, thanks to MarkLogic!)
7.00 - 8.00: Talk
8.00 - 8.30: Q&A

Overview/Abstract:

Location has always been an important type of data to track, manage, and use. With the proliferation of location-aware devices like cell phones, cameras, and GPS systems, geospatial data has become even more ubiquitous than ever before. NoSQL databases offer a number of features that make them a good solution for managing and extracting value from your location data. In this talk, we'll introduce the landscape of geospatial data, discuss some of the unique technical difficulties in working with this data, and take a deep dive into the inner workings of some NoSQL geospatial indexes.

Meet Your Speakers:

Jake Fowler is a Senior Engineer at MarkLogic and is the lead engineer for MarkLogic's geospatial features. Prior to joining MarkLogic, he was a mathematics researcher, educator, and worked in web and client-side development in several startup companies. Jake holds a Bachelor of Arts Degree in Mathematics and Cognitive Science from the University of Virginia, and a Ph.D. in Mathematics from the University of North Carolina at Chapel Hill.

LinkedIn: https://www.linkedin.com/in/jacobfowler

Nupoor Kotasthane is a Software Engineer at MarkLogic. She works on the Search and Geospatial features of MarkLogic. She has a Bachelor's degree in Computer Science from University of Pune and she recently graduated from San Jose State University in May 2016 with Master of Science degree in Software Engineering. She joined MarkLogic after graduation and has done significant Search enhancements and she enjoys developing Geospatial features with the Geo team.

Linked: https://www.linkedin.com/in/nupoork/

Bing Zhu is currently a QA engineer in MarkLogic and one of main QAs and contributors to the MarkLogic Geospatial feature. Bing joined MarkLogic in late 2015, and she continuously supports the quality and release for multiple MarkLogic features. Bing earned her B.S. from the Ohio State University, Columbus and MS. in Computer Engineering from the University of California, Davis.

LinkedIn: https://www.linkedin.com/in/bing-zhu-2699a22a

Webinar link:

https://marklogic.webex.com/marklogic/j.php?MTID=m1d98c86c173f8780f32ecb1910d46891