Data-intensive apps on GCP: SAP experience
summary
Live demos show HANA on GCP running on a GCP VM plus an App Engine Java front end (Hibernate + Google Maps API) and a workflow that pushes cold data to BigQuery and hot data to HANA. Claims: 1.5 TB RAM VMs exist now with 18 TB RAM VMs planned; work with Intel on persistent memory to cut restart times from minutes to seconds. Example: 15 years of San Francisco police geo-data yields 106,000 incidents, clustered and heat‑mapped in HANA — demo mostly works with a few startup hiccups.
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chapters (17)
- 0:00Introduction and speaker intro
- 4:50SAP and Google partnership overview
- 8:06SAP HANA on Google Cloud Platform
- 12:42Google BigQuery integration
- 13:23Machine learning trends
- 15:31Productivity tools and assistants
- 16:56Security and Kubernetes
- 18:25SAP Fiori and Android SDK
- 19:09Cloud robotics introduction
- 19:53SAP HANA technical deep dive
- 23:11Demo setup and GCP overview
- 24:20SAP HANA deployment on GCP
- 29:12SAP HANA architecture and acquisitions
- 31:26Geospatial data processing demo
- 35:23San Francisco crime analysis
- 38:49Clustering geospatial data
- 41:04Resources and closing
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