These are my notes from the ASUG webcast last week (notes as I heard them).
The legal disclaimer applies that things in the future are subject to change.
The speaker said he worked SAP SHINE – core content for developers to learn about SAP HANA; this is something you can try for yourself in the SAP Cloud Appliance Library (CAL).
Figure 1: Source: SAP
Big data, data is generated in different areas, targeting different users, access data in multiple silos and locations
It is generated from transaction systems, OLAP and OLTP.
It is generated from social media world in various product areas
It includes merge structured and unstructured and brand sentiment
Predictive maintenance for auto companies includes how long emissions will turn, will it require maintenance
It includes stream data real time and do advanced analysis
Network optimization for distribution of networks, fraud detection, personalized care, right treatment at the right time
Churn includes customers track who talks about product; CPG use case
As data is exploding, things becomes data challenged for IT teams
Figure 2: Source, SAP
As data is exploding, IT teams are looking for new architecture for data generated by different systems
Hadoop adopted by different customers, access the cold data that they don’t access everyday, and is an Open Source community
Why SAP for Big Data
SAP has 90K customers including cloud, mobility, applications, platform, and analytics
Figure 3: Source: SAP
SAP positions HANA as a platform and an RDBMS.
Hadoop is one of the areas where integrate SAP HANA with Hadoop
They want to merge two capabilities to provide big data use cases and combine real time with cold data in Hadoop
Figure 4: Source: SAP
Figure 4 shows OLAP and OLTP capabilities, including search and predictive
HANA SP09 provides native capabilities with streaming
- – Data provisioning, streaming
- – Spatial, business rules, planning, PAK
- – Application function libraries – AFL, PAL
Figure 5: Source: SAP
SAP has done co-innovation with Intel, released data virtualization with Hadoop – now work with Intel and Cloudera cloud distribution data hub
SAP has a partnership with Hortonworks as well.
Figure 6: Source: SAP
Figure 6 shows different integration mechanisms, provision from SAP and non-SAP
It integrates with various distribution vendors using smart data access.
It has big data use case scenarios
It brings in the right amount of data at the right time
It is open to other partner distributions
Figure 7: Source: SAP
Figure 7 shows machine data to process data, capture from sensors
On the right side is omnichannel with unstructured data from different sites
Figure 8: Source: SAP
Figure 8 is planned for next release, to connect devices through Gateway, with a release adapter SDK kit to leverage in-house product portfolio. This is coming to SAP TechEd
Figure 9: Source: SAP
Figure 9 shows you can purchase big data apps
Some apps are by SAP Startup Focus program
Figure 10: Source: SAP
Figure 10 shows the solution architecture
On the bottom is the HANA platform, different data sources
It includes BI tools, Mobile platforms
It will work on premise and cloud
Figure 11: Source: SAP
Figure 11 shows the HANA and Hadoop roadmap where SQL access to Hive tables in HANA
Also coming is remote caching from the Map Reduce job, to cache on Hadoop side
Planned innovations SP09 – seen limitations from HIVE ODBC side – plan to provide new capability to bypass Hive
SAP will work with partners to certify distributions with HANA
Future direction includes advanced Smart Data Access
SAP has hands on session for Hadoop Integration at SAP TechEd && d-code Vegas (hands-on sessions open up for registration the week of September 26)
Consider joining ASUG on Monday October 20th for a pre-conference session on Big Data – see Big Data in Enterprise Information Management for Better Data Governance ASUG / SAP TechEd && d-code Pre-Conference session