A complete digest of all BI related topics from SAP TechEd 2018!

1. #SitNL – 010 – TechEd Take Away
@Konijnenburg | @TheSventor

2. SAP TechEd 2018 – SAP BI Takeaways
Ronald Konijnenburg
(Las Vegas)
@Konijnenburg
#SAPMentor
Sven van Leuken
(@Home)
@TheSventor
www.TheSventor.com

3. Ronald (and Sven) did their utmost in digesting 4 days of Teched knowledge,
staying awake through some presentations, watching Designated
Survicor@home and making notes of the presentations they found worth
taking back to all of you.
The following slides contain interpretations of the stuff said on the TechEd and
do not necessarily represent the way it was intented by SAP.
Please don’t blame us if our interpretations might be off track as, in the end,
we’re only human.
Ronald and Sven assume no responsibility for errors or ommisions in this
document, except if such damages were caused by SAP intentionally or grossly
negligent.

4. Agenda
• BW/4HANA
• SAC (and the rebirth of Webi)
• SQL DWH & Data Hub

5. There is no such thing as a data warehouse DAT876
Ok 2..
1
2
3
4
Ok..

6. BW/4HANA future? DAT876
DAT366

7. BW/4HANA & The Data lake DAT204

8. BW/4HANA & The Data lake DAT204

9. HADOOP is corporate memory? DAT204

10. HANA is corporate memory?
Only if you’re not cheap ;-) DAT204

11. BW/4HANA = FAST!
Yes, but fastest on calc views… DAT203

12. BW/4HANA = FAST!
Yes, but fastest on calc views… DAT203

13. Guess who is hard to kill… DAT202
That’s
WAD??

14. Thy shall not convert! DAT202
To WAD?? I
mean What?

15. S/4HANA on prem and B4 – all good DAT118

16. S/4HANA cloud and B4 – not all good… DAT118

17. Other cloud and - >2019 – ABAP in the Cloud… DAT118

18. Blueberry - ;-) DAT110

19. Blueberry – Same as on prem? DAT110

20. Blueberry – Started all over again DAT110

21. Real ML in B4(?) DAT369
Installed as part of an SAP Predictive Analytics client-
server configuration, Predictive Factory is a thin-client,
Web server-based application. Predictive Factory lets
you automate the management of predictive models
created in SAP Predictive Analytics Modeler. All users can
automate much of the predictive lifecycle such as
retraining a model, applying a model to new data sets,
and detecting model deviations.

22. Agenda
• BW/4HANA
• SAC (and the rebirth of Webi)
• SQL DWH & Data Hub

23. SAC is SIMPLE DAT370

24. SAC: One Size fits all? DAT370
1 ≠1

25. AI? Not sure, but it is smart! DAT370

26. SAC will be everywhere AIN101

27. SAC will be embedded also externally AIN101

28. Speed! DAT370

29. SAC and AFO AIN208

30. What’s new in WEBI AIN218

31. WEBI and SAC! AIN203
UNIVERSE
WEBI
SAC
AFO

32. The birth of application design
(aka app design) – scripting included! AIN102

33. The birth of application design
(aka app design) – Roadmap, focus on what mattersAIN102

34. Agenda
• BW/4HANA
• SAC (and the rebirth of Webi)
• SQL DWH & Data Hub

35. Cloud is everywhere DAT115

36. Integration is key DAT109
Corporate Memory ;-)

37. Old world DAT117
Corporate Memory ;-)

38. New world DAT117
Corporate Memory ;-)

39. Data Hub = Docker Image DAT109
Corporate Memory ;-)
Operating-system-level virtualization, also known as containerization, refers to
an operating system feature in which the kernel allows the existence of multiple
isolated user-space instances. Such instances,
called containers,[1] partitions, virtualization engines (VEs) or jails (FreeBSD
jail or chroot jail), may look like real computers from the point of view of programs
running in them. A computer program running on an ordinary operating system can see
all resources (connected devices, files and folders, network shares, CPU power,
quantifiable hardware capabilities) of that computer. However, programs running inside a
container can only see the container's contents and devices assigned to the container.
Kubernetes (commonly stylized as K8s[3]) is an open-source container-orchestration
system for automating deployment, scaling and management
of containerized applications.[4] It was originally designed by Google and is now
maintained by the Cloud Native Computing Foundation. It aims to provide a "platform for
automating deployment, scaling, and operations of application containers across clusters
of hosts".[3] It works with a range of container tools, including Docker.
Ok…
Vmware ;-)

40. Data Hub what’s new – Metadata Explorer DAT116

41. Data Hub vs. Data Services DAT116

42. Data Hub vs. SDI DAT116

43. What is the SQL DWH?: HANA DWF! DAT160

44. So what is the HANA DMS…Run Simple again? DAT115

45. Simple right? DAT115

46. Back to SQL DWH: Graphical Modeling DAT160

47. Back to SQL DWH: HDI Containers DAT160

48. Back to SQL DWH: what is:
Enterprise Architecture Designer LT129

49. Back to SQL DWH:
Enterprise Architecture Designer from Logical DAT265

50. To physical: PDM and HDI DAT265

51. How does it all come together? DAT844

52. On behalf of InterMcCoy: Thank you!