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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
[ 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
[ Our reality in HP IT: Trying to meet multiple goals



 1.                                 2.                 3.



                      “Big Data”         “Real time”   “Google effect”




 Real Experience. Real Advantage.
[ 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.
[ 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
[ 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.
[ 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.
[ 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.
[ 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.
[ 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
[ 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.
[ 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.
[ 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.
[ 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
[ 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.
[
                                Thank you for participating.
                                                        Please remember to complete and return your
                                                                 evaluation form following this session.
                                      For ongoing education on this area of focus, visit the Year-Round
                                                               Community page at www.asug.com/yrc




                                                              [   SESSION CODE:
                                                                  1006




Real Experience. Real Advantage.                                                                           17

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Impact of in-memory technology and SAP HANA on your business, IT, and career

  • 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. Please remember to complete and return your evaluation form following this session. For ongoing education on this area of focus, visit the Year-Round Community page at www.asug.com/yrc [ SESSION CODE: 1006 Real Experience. Real Advantage. 17