BayGeo Mixer: Speed and Scale

Transcript

1. © MapD 2018 Speed and Scale for Geospatial Data Aaron Williams | March 29, 2018
2. © MapD 2018 Aaron Williams VP of Global Community @_arw_ aaron@mapd.com /in/aaronwilliams/ /williamsaaron slides: https://speakerdeck.com/mapd
3. © MapD 2018 MapD is the analytics platform created for GPUs
4. © MapD 2018 © MapD 2018 4 DEMO TIME!
5. © MapD 2018 Advanced memory management Three-tier caching to GPU RAM for speed and to SSDs for persistent storage 5 SSD or NVRAM STORAGE (L3) 250GB to 20TB 1-2 GB/sec CPU RAM (L2) 32GB to 3TB 70-120 GB/sec GPU RAM (L1) 24GB to 256GB 1000-6000 GB/sec Hot Data Speedup = 1500x to 5000x Over Cold Data Warm Data Speedup = 35x to 120x Over Cold Data Cold Data COMPUTE LAYER STORAGE LAYER Data Lake/Data Warehouse/System Of Record
6. © MapD 2018 Coming Soon 6 LIDAR Data • Working with Michael Flaxman (Geodesign Technologies) • An open dataset from the state of Florida with several billion points National Water Model • Working with Harvard Center for Geographic Analysis (Josh Lieberman and Ben Lewis) Open Source MapD Core Working Group Forming Soon • New features coming soon to the open source SQL engine • If you’re interested in participating, talk with the MapD team
7. © MapD 2018 © MapD 2018 • community.mapd.com Ask questions and share your experiences • mapd.com/demos Play with our demos • mapd.com/platform/download-community/ Get the free Community Edition and start playing 7 Next Steps
8. © MapD 2018 Aaron Williams VP of Global Community @_arw_ aaron@mapd.com /in/aaronwilliams/ /williamsaaron slides: https://speakerdeck.com/mapd Thank you! Any questions?