FYI

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Chris Mattmann, Ph.D.
Chief Architect
Instrument Software and Science Data Systems Section (398)
NASA Jet Propulsion Laboratory Pasadena, CA 91109 USA
Office: 168-519, Mailstop: 168-527
Email: [email protected]
WWW:  http://sunset.usc.edu/~mattmann/
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Director, Information Retrieval and Data Science Group (IRDS)
Adjunct Associate Professor, Computer Science Department
University of Southern California, Los Angeles, CA 90089 USA
WWW: http://irds.usc.edu/
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On 6/13/16, 5:33 PM, "Chris Mattmann" <[email protected]> wrote:

>All, FYI
>
>
>
>
>On 6/13/16, 3:24 PM, "Rob Emanuele" <[email protected] on 
>behalf of [email protected]> wrote:
>
>>Hello LocationTech community,
>>
>>I'd like to write to you about some work that I and others on the GeoTrellis 
>>team at Azavea are about to undertake.
>>
>>We are starting down the path of integrating GeoTrellis with the GeoWave and 
>>GeoMesa projects. As part of this, a clear understanding of both of those 
>>projects is necessary. As some of you may know, if we were to draw the Venn 
>>diagram of the feature set those two projects, there would be a large 
>>overlapping portion, specifically around working with vector data on Accumulo.
>>
>>I have frequently been presented with the following question: what is the 
>>differences between GeoWave and GeoMesa? In talks about LocationTech big geo 
>>data projects that I have given at EclipseCon Europe 2015, FOSS4G NA 2016 and 
>>Apache Big Data 2016, I have attempted to address this question at a very 
>>high level. However, through my work on those talks, and research into the 
>>integration work, I have come to the conclusion that we all need to develop a 
>>deeper sense of how these two projects compare.
>>
>>A deeper understanding will take a focused comparative analysis of the two 
>>projects, and that is what this initiative intends to do. Since the 
>>GeoTrellis team already has some familiarity with both the two projects and  
>>Accumulo, and we also have a good working relationship with the core teams 
>>developing GeoMesa and GeoWave, I believe the GeoTrellis team at Azavea is in 
>>a unique position to lead such an analysis. We will also be able to act as an 
>>independent group that will be able to perform the analysis a minimum of 
>>likely bias.
>>
>>The government organizations which support the GeoWave and GeoMesa projects 
>>are interested in this type of detailed analysis, and have agreed to support 
>>this comparison effort. This type of comparative analysis should also be of 
>>interest to the wider LocationTech community, and the big geo data community 
>>in general.
>>
>>A proposed plan of attack for this comparative analysis is as follows:
>>
>>- Read through the documentation and source code of each project, in order to 
>>clearly map out the feature set and approaches of the projects.
>>- Develop a set of performance test cases that map to real world use cases, 
>>and perform those test on each system under a variety of cluster 
>>configurations and data sets.
>>- Use the information gathered from those actions to develop documentation 
>>that explains the methodology and results of our comparative analysis, 
>>recommendations for components to use under various use cases, and list 
>>suggestions about potential ways the two projects can collaborate moving 
>>forward.
>>
>>The GeoBench project has already done some work on performance benchmarking 
>>between various systems, including GeoWave and GeoMesa. We hope to learn from 
>>that project and if possible contribute to it; however the purposes of the 
>>projects differ in that the performance tests conducted under this 
>>comparative analysis will specifically be in the service of comparing the 
>>functionality and performance of GeoWave and GeoMesa under the specified use 
>>cases.
>>
>>We will be beginning work on this project in the near future. I want to 
>>outline our intentions and proposed plan here in order to elicit feedback 
>>from the community, and to be as open and transparent as possible.
>>
>>I'm looking forward to working with the GeoMesa and and GeoWave teams on this 
>>project, as much as they have the capacity to support our inquiries and 
>>contribute. I believe the success of this effort will be heavily dependant on 
>>our ability to work with the GeoMesa and GeoWave teams in order to best 
>>understand their systems and set them up correctly for performance tests.
>>
>>I'm also excited about the ancillary benefits which will fall out of this 
>>effort, including documentation, deployment strategies, and issues that will 
>>be exposed and fixed because of our work here.
>>
>>I also hope to gain help and support from the greater community. One item 
>>that will be helpful to contribute to is the set of use cases under which we 
>>will be performing our comparative analysis. I will be following up soon with 
>>a method to get feedback and suggestions on the set of use cases we will be 
>>building. In the meantime, if anyone has questions or comments about this 
>>effort, I encourage you to be in touch, either on-list of off.
>>
>>Best Regards,
>>Rob
>>
>>-- 
>>Robert Emanuele, Tech Lead
>>Azavea |  990 Spring Garden Street, 5th Floor, Philadelphia, PA
>>[email protected] <mailto:[email protected]>  | T 215.701.7502 
>><tel:215.701.7502>  | Web azavea.com <http://www.azavea.com/>  |  @azavea 
>><http://twitter.com/azavea>
>>
>>
>>
>>
>>
>>
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