The Extreme Analytics Platform for Data Science and Analytics

In this presentation we explain the features in MapD that makes it the best GPU based operational analytics platform. We also discuss the newly released MapD 4.0 with native support for Geospatial data type.

Transcript

3. Data Analytics Integral to Business
4. Why the Gap Between Expectations and Results?
5. Workarounds Can’t Keep Up with Data Growth
6. The Analytics Platform Designed for GPU Computing
7. MapD Core: Query Compilation with LLVM
8. MapD Immerse: Hybrid Rendering
9. Advanced memory management 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
10. The GPU Open Analytics Initiative (GOAI)
11. The GPU Open Analytics Initiative (GOAI)
12. Released Today MapD 4.0: Expanding Frontiers for Visual Analysis of Geo Big Data
13. Geospatial Objects Type POINT A point described by two coordinates. LINESTRING A sequence of 2 or more points and the lines that connect them. POLYGON A set of one or more rings (closed line strings), with the first representing the shape (external ring) and the rest representing holes in that shape (internal rings) MULTIPOLYGON A set of one or more polygons.
14. Supported Geo File Formats Type GeoJSON Uses the JavaScript Object Notation (JSON) open data standard for storing geographical features as key-value pairs. ESRI Shapefile Consists of a group of files (.shp, .shx, .dbf etc) that need to be stored in the same directory or part of a zip file. The .shp file contains the feature geometry itself. KML Keyhole Markup Language is based on XML, using tag-based structure with nested elements and attributes to store geographic data. CSV/TSV with WKT Well Known Text (WKT) is a text markup language for representing vector geometry objects on a map.
15. Geospatial Functions Spatial Relationship and Measurement Functions Returns shortest planar distance between geometries. Returns shortest geodesic distance between geographies (in meters, limited support) . Returns true if first geometry contains the second one.
16. MapD 4.0 : Geospatial Highlights
17. DEMO
18. • • • • Next Steps
19. Any questions?