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Spatio-Temporal Data Storage and Exploiting Embedding Models

For our August meetup we are pleased to feature two talks on spatio-temporal data storage and the use of embedding models. First, Andrew Hubert and Anthony Fox will discuss  how GeoMesa is helping to support predictive spatial analysis of data such as FAA flights and near-realtime geolocation sensors. Next, Nick Hamblet will explain what exactly are embedding models and how they can be used for visualizations and queries.

Additionally,  Strata + HadoopWorld 2014 is right around the corner, and to celebrate we will be giving away a numerous door prizes from O'Reilly, including one free pass to Strata + HadoopWorld 2014! See below for more user group discount code to attend this years conference!

Agenda

6:30 PM -- Networking & Food 

6:55 PM -- Greetings & Awesome Prizes (Books, Shirts, Free Conference Pass!)

7:00 PM -- Scaling Up Spatio­-Temporal Analytics with GeoMesa

8:00 PM -- Training and Exploitation of Embedding Models

9:00 PM -- Post event drinks at Looney's Pub (8180 Maple Lawn Blvd, Fulton, MD)


Location

Johns Hopkins University Applied Physics Laboratory (APL)

Building 200 Room E100

11100 Johns Hopkins Road

Laurel, MD 20723


Directions

After the traffic light at Montpelier Road and Johns Hopkins Road, move into the Left-most lane on Johns Hopkins Rd. You will first pass the pond on your right and then see our 5-story Bldg 200 on your left.

Turn Left either just at Bldg 200 or at the traffic light just beyond it (where the tree-lined entrance road to the old campus is to the right). Either turn will take you into a multi-linked parking lot for Bldg 200.

Park in any unmarked space.

The entrance lobby to Bldg 200 is on the South side (opposite from Johns Hopkins Road), under the glassed-in curved windows of the 2nd floor projection.


Talks

Scaling Up Spatio­-Temporal Analytics with GeoMesa
GeoMesa is an open-­source, distributed, spatio-­temporal database built on top of Apache Accumulo. GeoMesa is capable of ingesting high­-rate spatio-temporal data such as Twitter, FAA flight tracks, and near-­realtime geolocated sensor data. Andrew will provide an overview of the GeoMesa architecture, query-­planning, and OGC mapping capabilities along with demos of analytics including interpolated space-­time queries, track similarity rankings, and distributed K­-Nearest Neighbors.

Training and Exploitation of Embedding Models
Embedding models are a class of models which learn an embedding of entities from a dataset into a vector space (typically 20­-200 dimensions). Thus, to each entity there corresponds a point in the target vector space, and these embeddings can be used for query and visualization capabilities. In this talk, Nick will provide an overview of a few examples of embedding models, present novel results on their training in a distributed setting, and demonstrate software capabilities developed at CCRi for exposing these models to an end user.


Speakers

Nick Hamblet joined CCRi after receiving a Ph.D. in Mathematics from the University of Virginia. At CCRi, he has been an independent researcher and technical lead for numerous projects from a broad range of analytic capabilities, including dynamic network community detection, socio­-cultural behavior analysis, exploratory analytics for large­-scale information extraction from text, and distributed cloud data fusion.

Andrew Hulbert is a software engineer at CCRi specializing in distributed indexing and analytics. He is an Eclipse Foundation committer on the LocationTech/GeoMesa project and has been using Accumulo for three years. Prior to joining CCRi in 2014, Andrew worked on several projects for the Department of Defense providing large­-scale data management, storage, and indexing using Hadoop as well as traditional data­-warehousing in parallel RDBMS environments. He earned his B.S. in Computer Science from the University of North Carolina at Chapel Hill.

Anthony Fox is a senior engineer at CCRI and the lead software architect. He has extensive experience in the design, development, and architecture of software systems that incorporate mathematical modeling and statistical analysis components. Anthony received his masters degree in Systems Engineering from the University of Virginia where he studied in the Computational Statistics group.


Company


CCRi (Commonwealth Computer Research, Inc.) is a small analytics company in Charlottesville, VA. We design full­-stack, scalable analytics for government, military, marketing, and healthcare sectors, and implement those solutions with effective and reliable software. At CCRi, our vision is to make sense of the world by fusing data from multiple sources. We bring together a highly trained team of researchers, problem solvers, and developers, trained across a spectrum of technical fields including data scientists, systems engineers, software engineers, mathematicians, and artists just to name a few. Our culture is scientifically rigorous, data driven, and product oriented yet open­-minded and research oriented. We work to maintain an informal and creative work environment where people can think and share openly.

Strata + HadoopWorld 2014

20% off registration at this year's conference using the code UGDSMB20. Please register at link: http://oreil.ly/UGSHW14.

Be sure to sign up for the door prize drawing at the meetup.

Join or login to comment.

  • Andrew H.

    Some very simple twitter example code is available to get you started here: https://github.com/geomesa/geomesa-twitter

    2 · August 23, 2014

  • Cornell

    I really enjoyed the presentations on Monday. I'm new to the data science field and learned a lot. I will be reviewing the slides this weekend.

    August 22, 2014

  • Andrew H.

    Hi everyone, the GeoMesa slides are available at http://www.geomesa.org/assets/outreach/md_datascience_final.pdf

    I noticed that the built in firefox viewer didn't like the PDF generated from Google Docs so you may need to download it and open it with a native viewer.

    1 · August 21, 2014

  • Andrew H.

    Dave, we'll put the slides up soon!

    August 20, 2014

  • Dave D.

    Good talks...will the slides be available?

    August 19, 2014

  • Andrew S.

    Good talks. I enjoyed it.

    August 19, 2014

  • Tej L.

    Traffic was really bad coming up 495 so I've decided to take a u-turn. :(
    Hope I can see the online video when available.

    August 18, 2014

  • Jason B.

    At tonight's event will be a jar for you to submit your name and whether you want to be eligible to win the HadoopWorld pass.

    1 · August 18, 2014

  • Chris P.

    Unfortunately I had something come up last minute, bummer. It looks like it will be a good meetup.

    August 17, 2014

  • Aleksandr

    Is the parking located in the lot next to the sign that says Building 1 South Campus?

    August 16, 2014

    • Jason B.

      Yes. There is a ton of parking.

      August 17, 2014

  • jason

    Will this be recorded? I have a friend that can't make it...

    August 14, 2014

    • jason

      How can I share it with my friend?

      August 16, 2014

    • Jason B.

      Your friend can attend. The videos are posted after the event, but it usually takes a bit to get them up.

      August 17, 2014

  • Kwame

    Is there a charge for this talk? Thanks.

    August 14, 2014

  • Chris B.

    Darn had something come up.

    August 14, 2014

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