Machine-Generated Data and SAP's Big Data Analytics Portfolio

on YouTube ↗12m

" summary

SAP positions Hana platform as an in‑memory columnar database expanded into a real‑time platform with geospatial, text and predictive engines, plus provisioning, cloud and app development so analytics run where the data lives. The BI stack is BusinessObjects BI4 plus agile visualization and Jam integration, shipping mobile clients. Machine‑generated data is treated as cleaner but high volume/velocity/variety; examples include real‑time offer management in gaming and shrinking financial close from weeks to days.

AI-written summary · about

" chapters (9)

1. 0:00SAP analytics portfolio
2. 1:06Single version to big data
3. 2:12Insight analytics strategy
4. 3:15SAP HANA capabilities
5. 5:23Machine-generated data and IoT
6. 6:51Real-time processing with HANA
7. 8:36Real-time analytics defined
8. 9:58Industries using real-time platforms
9. 11:01Data's greatest impact

" related talks

• 06mHANA and Real-Time InsightsDavid Parker · Strata Conference New York + Hadoop World 2013
• 09mReal-Time Health Data and the SAP Hana PlatformAmit Sinha · Strata Rx Conference 2013
• 04mAmit Satoor from SAP interviewed at Strata Rx 2013Amit Satoor · Strata Rx Conference 2013
• 41mBuilding Your Own Data Management Platform? It's Very SimpleVasiliy Sukhanov · HighLoad++ 2015
• 42mData-intensive apps on GCP: SAP experienceVitaliy Rudnytskiy · GDG DevFest Poland 2018 in Wrocław
• 09mConversation with Mark Thienpont, Lead Expert BI/HANA Consultant, Delaware ConsultingMark Thienpont · Cloud Foundry Summit Europe 2017
• 15mBeyond the Silo: Modernizing SAP with Snowflake on AWS for AIMartin Gutberlet, Obald Kazi, Neelesh Kumar Jain · Hannover Messe 2026
• 39mBig Data Systems Performance: The Little Shop of HorrorsJens Dittrich · PyData Berlin 2018