Cloud-Driven Spatial Intelligence

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1 Cloud-Driven Spatial Intelligence Sandeep K. Singhal Senior Director, Cloud Storage Google

2 Data is Everything. Companies win or lose based on how they use it.

3 Interminable scale storage and compute. Location, analytics, and learning.

4 Cheaper, Faster, More Iterations Real-World Use Case: Pre-processing 1PB of Landsat 30,000 CPUs - GCE Preemptible VMs April 2015 Cost: $9,800 September 2016 Cost: $3,600 July 2017 Cost: $2,800 Skylake w/ Advanced Vector Extensions Imagery Compression: 38.3% Skylake w/ Advanced Vector Extensions Imagery Expansion: 23.7%

5 Google Cloud SQL Fully-managed database service makes it easy to set-up, maintain, manage, and administer MySQL and PostgreSQL databases in the cloud PostgreSQL Vibrant open source community with 15 years of active development Strong standards compliance Extensibility including powerful geospatial capability

6 Cloud SQL Automatic Storage Increase

7 Descartes Labs: Agricultural Models US corn production model Required over 4 quadrillion pixels Tested over 1,000 candidate models Descartes Labs ML team uses the Descartes Labs Platform every day to improve our analytic products and perform analysis for clients

8 Descartes Labs: ML Platform Satellite Imagery Providers * GCP Public Datasets * NASA * ESA * Planet * Private Partners Imagery Ingest Compute Engine Preemptible VM s Messaging Cloud Pub/Sub Streaming Changes Imagery Corpus Cloud Storage Processed Imagery Metadata backend Cloud SQL Imagery Metadata, Vector Data Imagery API for building ML Models API Services Container Engine Image Search, Image Raster, Location Search Monitoring Stackdriver Alerting

9 Descartes Labs: Finding a Needle in a Haystack

10 Descartes Labs: GeoVisual Search Descartes ML API: *Geospatial *Temporal *Light Bands * % Cloud Cover Model Development Compute Engine Capture Changes Messaging Cloud Pub/Sub Streaming Changes GeoVisual Search: UI OSM Cloud SQL ML Training GVS Services Container Engine ML Model Results Cloud Bigtable Results and Query API s Searchable, Index

11 Sports venue security tracking location of security personnel

12 Increase sales by tracking queue lengths

13 Improve customer service and asset utilization by speeding patients to mobile medical equipment

14 Integrated Maps Rendering and Analytics in the Cloud Read/Write Google Load Balancer Google Cloud Messaging Google App Engine Google Maps SDK Google Compute Engine Google Cloud SQL Google Cloud Storage Raw Content Read-Only Google Maps SDK

15 Public Geospatial Datasets Landsat: Multispectral images of Earth s land surface, at 15-60m resolution, from 1982-present Sentinel-2: Multispectral images of Earth s land surface, at 10-60m resolution, from 2015-present NEXRAD: Dataset from network of 160 high-resolution Doppler weather radars All available for direct use via Google Cloud Storage APIs, free of charge

16 Thank you! Interminable scale storage and compute. Location, analytics, and learning. Sandeep K. Singhal Senior Director, Cloud Storage Google

17 Storage & Database Portfolio In memory Relational Non-relational Object Warehouse Beta App Engine Memcache Cloud SQL Cloud Spanner Cloud Datastore Cloud Bigtable Cloud Storage BigQuery Good for: Web/mobile apps, gaming Good for: Web frameworks Good for: RDBMS+scale, HA, HTAP Good for: Hierarchical, mobile, web Good for: Heavy read + write, events, Good for: Binary or object data Good for: Enterprise data warehouse Such as: Game state, user sessions Such as: CMS, geo, ecommerce Such as: User data, Ad/FinTech Such as: User profiles, Game State Such as: AdTech, financial, IoT Such as: Images, media serving, backups Such as: Analytics, dashboards