SAP HANA Data Management Suite User Group Webcast Recap
Walk through SAP HANA Data Management Suite
Philosophy, why, and the future
Product, value
How customers can adopt
Usual legal disclaimer applies
Source: SAP
Moving to a decision driven culture
Big data term less popular
Better data, quality of decisions
Organizations are less comfortable with the quality of data than in the past, seeing flaws
Source: SAP
White board of data landscapes – an aggregate of diagrams
Fragmentation is more onerous – graph, spatial, sentiment, making the data landscape more complex
Cloud data sources are new, making the landscape more complex
If you don’t know data exists, you can’t make it secure.
Source: SAP
Data is less accessible, more fragmented
Moving towards machine learning, artificial intelligence, requiring high quality to be trained on
What customers want is on the right based on focus groups, studies
Source: SAP
The vision of HANA Data Management suite
Source: SAP
This is not the 1990’s data warehouse is
At run time, know where the data is, run it at run time, may replicate data
Source: SAP
The value is on the left
Source: SAP
Vision introduced at SAPPHIRENOW
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4 key products in the middle
Source: SAP
Product was launched in June
Future- harmonize the user interface between the products, single user experience
Invest in metadata catalog to improve understanding of data
Cloud – easy to provision, elasticity, move workloads, making this a true cloud-based solution
Source: SAP
Process to improve data, continuous cycle
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Ways to connect the data, connect remote data sources
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Time series, streaming data, data becomes “intelligent”
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Multiple types of workloads
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Cloud architectures in many different places, deploy to different places
Roadmap to be released soon
Source: SAP
Three adoption patterns
Strategic – data framework
Tactical – insight
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Where to start strategically?
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Where to start tactically?
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Data Governance – lots of discussion surrounding MDG
Source: SAP
Summary of webcast
Q&A
Q: what parts of the data management suite are in GA?
A: all are in GA
Q: What is the biggest value in your opinion
A: Trends changing landscape – artificial intelligence, machine learning