Machine Learning Demos & Drinks

MapD, Inc. is the extreme analytics platform, used in business and government to find insights in data beyond the limits of mainstream analytics tools. The MapD platform delivers zero-latency querying and visual exploration of big data, dramatically accelerating operational analytics; data science; and geospatial analytics. Originating from research at MIT, MapD is a technology breakthrough, harnessing the massive parallel computing of GPUs for data analytics. MapD Technologies Inc. is headquartered in San Francisco, and the platform is available globally via open source and enterprise license options.

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1. © MapD 2018 Machine Learning Demos & Drinks Aaron Williams | May 23, 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 Advanced memory management Three-tier caching to GPU RAM for speed and to SSDs for persistent storage 4 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
5. © MapD 2018 The GPU Open Analytics Initiative (GOAI) Creating common data frameworks to accelerate data science on GPUs 5 /mapd/pymapd /gpuopenanalytics/pygdf
6. © MapD 2018 Machine Learning Pipeline 6 Personas in Analytics Lifecycle (Illustrative) Business Analyst Data Scientist Data Engineer IT Systems Admin Data Scientist / Business Analyst Data Preparation Data Discovery & Feature Engineering Model & Validate Predict Operationalize Monitoring & Refinement Evaluate & Decide GPUs
7. © MapD 2018 • We’ve published a few notebooks showing how to connect to a MapD database and use an ML algorithm to make predictions • We’ve also previewed what we’re showing next week at NVIDIA’s GTC conference, a churn example with VW 7 ML Examples /gpuopenanalytics/demo-docker /mapd/mapd-ml-demo
8. © 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 our free Community Edition and start playing 8 Next Steps
9. © MapD 2018 Aaron Williams VP of Global Community @_arw_ aaron@mapd.com /in/aaronwilliams/ /williamsaaron slides: https://speakerdeck.com/mapd Thank you! Any questions?