SAP HANA Data Management Suite User Group Webcast Recap

[TammyPowlas]

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



Source: SAP

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



Source: SAP

Ways to connect the data, connect remote data sources



Source: SAP

Time series, streaming data, data becomes "intelligent"



Source: SAP

Multiple types of workloads



Source: SAP

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



Source: SAP

Where to start strategically?



Source: SAP

Where to start tactically?



Source: SAP

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