1. Keynote: The Disrupting Effects of SAP HANA and in-Memory Databases
Dr. Bjarne Berg
Comerit

2. Introduction – Dr. Berg

3. This Presentation Comprises:
Introductions
Why HANA
The World is becoming Visual
Untraditional use of in-memory databases
HANA Can Save Lives
Conclusion

4. Data is Created Everywhere
Total number of hours spend on facebook each year: billion hours
Data sent and received by mobile platforms and phones: Exabytes per day
Number of s sent each day: billion s
Data processed by Google each day: Petabytes
Videos uploaded to YouTube each day: million hours
Data consumed by each world’s household each day: MB (growing fast)!
Number of tweets send each day: million
Number of products sold on Amazon each hour: ,000 products
In 2016 we create 1,152,921,504,606,850,000 bytes of data every day!
(that is one Zetabyte)
Source: Annual Cisco® Global Cloud Index

5. Where is the data Located and What Drives the Growth?
Today, 73% of data stored on client devices resides on PCs.
By 2017, global smartphone traffic (201 EB per year) will exceed the amount of data stored (179 EB per year) on those devices – necessitating the need for greater storage capabilities via the cloud.
By 2019, 55% of the residential Internet population will use personal cloud storage and the majority of stored data (51%) will move to non-PC devices
Source: Cisco® Global Cloud Index

6. Data is growing everywhere
2030
2010s
2000s
1990s
1980s
1970s s

7. More Data is coming - The Internet of Things (IoT)
An History Lesson:
Devices such as sensors, CCTV, TVs, cars, refrigerators, home security systems, dishwashers, Air-conditioners, power meters, toll road systems, facial recognition and much more is being connected through the IoT.
Enormous amounts of data is collected by these devices
Source: Syed Hoda, 2015

8. What is Holding us Back? 0.05 413.22 8264x 0.02 5,825 291,271x 216 264
Technology
Focus
1990
2016
Improvement
0.05
MIPS/$
413.22
MIPS/$
8264x
CPU
0.02
MB/$
5,825
MB/$
291,271x
Memory
216
264
248x
Addressable Memory
100
Mbps
200
Gbps
2,000 x
Network Speed
Hard
Drives 5
MBPS
690
MBPS
138x
Source: 1990 numbers SAP AG, 2016 numbers, Dr. Berg
Source: BI Survey of 534 BI professionals, InformationWeek,
Disk speed is growing slower than all other hardware components, while the need for speed is increasing

9. Why Change to In-Memory Processing?
File systems were created to manage hard disks
Traditional Relational Databases were made to manage file systems
Application Servers were created to speed up applications that ran on a database.
Therefore:
Hard drives are DYING!
Traditional relational databases are DEAD (they just don’t know it!)
Application Servers will become less important

10. The Death of Storage Technology is Normal

11. Number of SAP HANA Customers is Growing Fast
HANA is no longer bleeding-edge technology, it is on track to almost 10,000 customers in 2016

12. The Rate of Change – Disruptive Technologies
Moore’s Law in technology:
Processing Speed will double every 18 month
Paradigm shifts:
SAP HANA reads are executed times faster than on traditional relational databases such as Oracle 12g
The rate of change in Paradigm Shifts is much faster than the incremental changes and a much lower cost

13. HANA Hardware Options 2016 

14. HANA Hardware Options 2016 
These HANA certified systems are based on E7 ivybridge processors with 15 cores per processor, or the newer Hartwell processors with 18 cores.
News: IBM’s Power8 system is now also SAP HANA certified

15. Sizing a BW system for HANA
Using the BW Automated Sizing tool in the Migration Cockpit

16. SAP BW on HANA Sizing Tool for Existing BW Implementations
To increase speed, you can suppress analysis tables with less than 1 MB size
SAP has released an updated tool that generates a report for sizing SAP BW.
This program takes into consideration existing database, table types, and includes the effects of non-active data on the HANA system
The higher precision you run the estimate at, the longer the program is going to run
This program is also referenced in SAP Notes and on the Service Marketplace

17. The SAP BW on HANA Sizing Result
Since timeouts are common when running the sizing program, you can temporarily change the parameter in rdisp/max_wprun_time to 0 in BW transaction RZ11. Finally, you estimate the growth for the system as a percentage or as absolute growth.
The output is stored in the file you specified and the file can now be ed to hardware vendors for sizing input and hardware selection

18. Sizing for BusinessSuite on HANA
SAP also have programs to size the system for BusinessSuite on HANA
In this example from July 2015, we see that a system of GB is required to migrate the ECC 6 box to HANA

19. HANA Demo with 1 billion 222 million rows

20. This Presentation Comprises:
Introductions
Why HANA
The World is becoming Visual
Untraditional use of in-memory databases
HANA Can Save Lives
Conclusion

21. The World is becoming Visual
Today’s users are often people who grew up in the 1970s, 80s and 90s and who are most comfortable with text and number based reports and analytics.
The next generation of users trusts computers to always be available, and are comfortable with more visualizations and less cluttered details

22. Data Visualizations Require faster systems such as SAP HANA
Internet usage Map by protocol
Big data is being generated from micro and macro levels.
From human DNA for each person to the content of billions of stars in galaxies.
A Map on the Whole Internet
Computer based human interaction is getting more common and generating terabytes of data each second
Data visualizations are get more prominent – can computers keep up?

23. This Presentation Comprises:
Introductions
Why HANA
The World is becoming Visual
Untraditional use of in-memory databases
HANA Can Save Lives
Conclusion

24. New Big-Data Innovation – Company War Rooms
In a multi-national company, data is created and consumed everywhere.
With SAP HANA you can create a corporate war-room to track customer demand, shipments, marketing success and business intelligence
This picture is from Sprint phone company’s war-room to track usage and transition issues during system mergers and product launches.

25. New Big-Data innovation – Scientific Discovery
The hadron super collider center CERN, creates over one PetaByte every second it operates.
The Spectre R telescope of Russia has 1000 times higher resolution than Hubble, generating billions of bytes of data.

26. New Big-Data Innovation in Safety and Security
Thousands of hours of video is taken at airports, banks, casinos, borders and other sensitive areas.
Facial recognition software can identify wanted criminals.
SAP HANA can store that data and process the information.

27. New Big-Data Innovation – Weather and Fishery tracking
Tracking whether and execute predictive models require significant number of data points with high data volume
Modeling resources such as fisheries and specie movements also require significant data volumes and data points on catch information across the globe

28. New Big-Data Innovation – Pollution Tracking
Geo data from pollution, data modeling and tracking creates hundreds of Terabytes.
SAP HANA can assist in storing and retrieving this data
With Predictive modeling and data visualization you can build sophisticated models on HANA.
You can even use the R-statistical library in HANA

29. This Presentation Comprises:
Introductions
Why HANA
The World is becoming Visual
Untraditional use of in-memory databases
HANA Can Save Lives
Conclusion

30. HANA Can Save Lives
CAT Scan of Tumor Patient
CAT scans and X-Rays create an large amount of data that doctors have to review and access
X-Ray of Cancer Patient
In-memory databases, such as SAP HANA, can store this and provide high volume and provide instant access to hundreds of Terabytes of data

31. HANA Can Save Lives
CT-Scans use ionized radiation which have increased cancer risks, but are much faster to process in an emergency room.
MRI use magnetism and has less risk, but takes longer to process L1 and L2 images and is therefore less used in emergency rooms.
With faster data processing, MRI can start using higher resolutions and much faster imaging, thereby saving lives
In-memory databases, such as SAP HANA, may revolutionize data processing in emergency rooms and render much of CT-scanning useless

32. This Presentation Comprises:
Introductions
Why HANA
The World is becoming Visual
Untraditional use of in-memory databases
HANA Can Save Lives
Conclusion

33. Reference to More Comprehensive Information
SAP HANA: An Introduction (3rd Edition) SAP Press Hardcover
Dr. Bjarne Berg & Penny Silvia (ISBN )
SAP HANA High Availability and Disaster Recovery Essentials
Dr. Bjarne Berg, Jonathan Haun, Kehinde Eseyin, Ned Falk, Irene Hopf, Rahul Urs, Christian Savelli, Michael Vavlitis
The SAP BW to HANA Migration Handbook
Dr. Bjarne Berg, Robert Frye & Joe Darlak

34. 5 Key Insights All databases will be in-memory in the next 5-7 years
If you are a SAP customer you will move to HANA
In-memory databases are the norm and an overall industry trend
Netezza, Hadoop, IBM-blue, Exadata and many more databases exists in addition to SAP HANA, but SAP applications such as S/4, business Suite (SoH) and BW 7.5 are optimized to take advantage of HANA.
In-memory databases are a paradigm shift with substantial better storage capabilities and performance – you need to be imaginative to take advantage of these capabilities

35. Questions?
How to contact me:
Dr. Bjarne Berg