The document discusses the impact of in-memory technology, specifically SAP HANA, on businesses, IT, and careers. It notes that SAP HANA is becoming a major part of SAP solutions and is reshaping how businesses and IT use SAP. It also impacts the skills required for different roles. The document provides examples of how SAP HANA enables faster analysis and real-time decision making compared to traditional databases. Finally, it outlines how various roles from business to development will need new skills to work with SAP HANA and in-memory solutions.

1. Impact of In-Memory Technology and
[ SAP HANA on Your Business, IT, and Career
Dave Carlisle, SAP Architect, Hewlett-Packard IT
Vitaliy Rudnytskiy, BI Architect, Hewlett-Packard EIS

2. [ Learning Points
 As SAP keeps executing on its in-memory vision,
SAP In-memory technology is becoming the major piece
in SAP solutions portfolio (SAP, BusinessObjects, Sybase)
 It is not just a niche toy for few übergeek experts anymore,
but is reshaping the way business and IT are going to use
SAP solutions, and it is impacting the set of skills required
 Look at the different layers of this technology and its extended
landscape, and how they are mapped into the skills required by
different roles in your business and IT teams
“The noblest pleasure is the joy of understanding”
- Leonardo da Vinci
Real Experience. Real Advantage. 2

3. [ Our reality in HP IT: Trying to meet multiple goals
1. 2. 3.
“Big Data” “Real time” “Google effect”
Real Experience. Real Advantage.

4. [ Why is HP IT so interested in in-memory technology?
 Too many resources spent
on data movement versus
true processing:
6.8% of processing time
spent on ‘real work’
in existing OLTP RDBMS
architectures OLTP DBMS Workload Profile- HP Labs, M.I.T., Yale
 HP ProLiant DL980 G7
 Up to 8 Intel® Xeon® 7500 series processors
 Up to 8 cores and 24MB L3 cache per processor
 World record performance enabled by HP Smart CPU caching
 Up to 128 DDR3 DIMM slots
 Up to 16 slots, PCI-E 2.0 or PCI-X
 Quad-Port 1GbE embedded NIC upgradable to Dual Port
10GbE
Real Experience. Real Advantage.

5. [ What is HP IT looking at?
 Starting with largest single ERP environment within HP IT
 One production instance per super region, 20+TB individual DB
 Approximately 30% of HP’s revenue processed, i.e. ~ $37 billion
 Why our largest single environment?
 Highest scaling, I/O and use case pressures
 Storage and long-term TCO implications
 20TB ERP + 20TB BW = 40TB core footprint
 Above does not include associated HA infrastructure, etc
 Need to combine OLTP and OLAP at end of the game
 Think Big – Start Small
Real Experience. Real Advantage. 5

6. [ Demo
 Have you ever tried to analyse the Key Milestones
in your SAP Sales&Distribution process?
 Have you ever tried to identify different turnaround times
in this process?
Analysis in SAP ERP Analysis with SBO Explorer
on traditional RDBMS on SAP HANA
 Predefined ABAP reports  Free data exploration
 Document headers  Document line items
 One plant  All plants
 Just one year  All years
 More than 10 hours  Less than 1 second
Real Experience. Real Advantage.

7. [ In-memory from SAP – what is in the bag?
 Applications for in-memory computing
 Customer's home-grown solutions or off-the-shelf
products delivered by SAP or SAP partners
 Products can be brand new, or existing, but re-
worked to benefit from in-memory technology
 SAP HANA as a platform
 As an appliance or in the cloud
 Multiple licenses models
 Bundled software products depending on the license
 In-memory technology
 Pretty wide term to describe everything that enables
highly efficient storage and high performing processing
of (sometimes substantial) data volumes
 Being used in multiple product from multiple vendors
Real Experience. Real Advantage.

8. [ Major principles of SAP in-memory technology
 Keep all required data (aka “hot data”) in main memory
 Compress data to minimize the footprint
 Utilize column storage
 Disk I/O is no longer an optimization target
 No need for pre-aggregated stores and multiple DB indexes
 Rarely accessed data (aka cold data) can be moved to cheap storage
 Cache sensitive data layout and cache-aware algorithms
 High locality (data that is needed together is stored together)
 Late materialization (decompress in cache)
 Software performance growth is in parallel processing, not clock speed
 Move data-intensive operations to the data layer
 Requires application logic in data layer (example: currency conversion)
“By 2012, 70% of Global 1000 organizations will load
detailed data into memory as the primary method to
optimize BI application performance.”
- Gartner
Real Experience. Real Advantage.

9. [ Unauthorized view on SAP In-memory evolution
BWA 7.0
TREX BWA 7.2
(HPA, BIA)
BOE,
accelerated
BO Explorer BOE
(Polestar) Wave 2
BO
DataServices Next
MaxDB SAP generations
HANA 1.0 of HANA
Now in
Existing Influencing Coming in
General
technologies technologies the future P*Time
Availability
SAP centric
Agnostic Data Management
Sybase IQ
Sybase IQ with
In-memory
Sybase ASE
Sybase ASE
with IMDB
Real Experience. Real Advantage.

10. [ SAP HANA Implementations: Critical Success Factors
HP Global Method for BI Implementations
1. Business Alignment
 A solution for no-problem becomes a problem itself
2. Adequate Governance
 The effort will cross so many boundaries – organizational, cultural,
technical – the obstacles will come from many directions
3. Architecture Blueprint
 Besides Technical domain, includes Organization, Data, Metadata,
Data Integration, and Information Delivery
4. Information Quality
 Lack of information quality in the deployed solution – especially
for one aimed to support real-time decision making – will cause
users moving back to their “reliable” techniques
5. Post Go-Live
 System on Day 1 is not the same as the system on Day 100
Real Experience. Real Advantage. 10

11. [ Base for success: Solution Architecture…
1. Understand the business and technical use cases
2. High-level data architecture
3. Software components
4. Lifecycle management approach
5. Software deployment
6. Hardware deployment plan
… plus
Team composition and skills
Real Experience. Real Advantage.

12. [ Impact of SAP HANA on our careers
 Business will need to bring back the meaning of "Business
Process Re-engineering" and learn how to provide break-
through requirements going beyond "Product groups in rows,
Y/Y KPIs in columns"
 Business Process Consultants (like EPM) will need to learn
how to implement and configure whole new set of applications
designed for in-memory computing
 BI Designers will need to build all the analytic views in SAP
HANA DB and integrate them with new SAP BO Information
Designer Tool
 Developers will need to start familiarizing themselves with
writing in-memory optimized code using new SQLScript
language, and few of them may even need to learn "L" –
new SAP procedural language for SAP HANA programming
Real Experience. Real Advantage.

13. [ Impact of SAP HANA on our careers (cont.)
 Security will need to design authentication and authorization
around SAP HANA, depending on the discussed scenario
 Admins and DBAs will not only get new toy to play, but
as well whole new bunch of capabilities and tools to learn
 BW folks will get the whole new set of RAM-optimized
BW objects to use in their modeling after migration
of BW database to SAP HANA
 OS/DB migration consultants will get their hands dirty
in migrations of existing analytic solutions (like based
on SAP/BW) from existing DBMSs to SAP HANA DB
 Project Managers will need to keep an eye on the evolution
of ASAP Methodology and any in-memory projects related
Add-ons to it
Real Experience. Real Advantage.

14. [ Key Learnings
 It’s time to learn about SAP in-memory technology –
an unavoidable trend for all SAP customers –
and start assessing its impact on your business and IT
 Get the holistic picture – learn to distinguish three overlapping
but different layers – technology, platforms, and applications –
and chart the roadmap for each of them in your planning
 Think early about how to do proper landscape planning
satisfying all requirements to realize the ultimate promise
of the HANA platform capable of simultaneous handling
both OLTP and OLAP processing
“A man paints with his brain and not with his hands”
-Michelangelo
Real Experience. Real Advantage. 15

15. [ To find more
 From Dave:
 dave.carlisle@hp.com
 Video “HP Business Results with SAP HANA”
 From Vitaliy:
 vitaliy.rudnytskiy@hp.com
 Twitter: @VitalBI
 Blogs: VitalBI.wordpress.com, www.sdn.sap.com/irj/scn/weblogs
 From HP (SAP TechEd lecture recording):
 Video “Business Analytics Deployments with HP Implementations”
 From SAP Communities:
 BI SIGs at www.ASUG.com
 Forum at SCN: forums.sdn.sap.com/forum.jspa?forumID=491
 From SAP:
 www.ExperienceSAPHANA.com
Real Experience. Real Advantage.

16. [
 Thank you for participating.
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For ongoing education on this area of focus, visit the Year-Round
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[ SESSION CODE:
1006
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