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Outboard Feel Good NLS

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Dave Fox
Dave Fox

The document describes DataVard OutBoard, a solution for managing data growth in SAP BW environments. It addresses challenges such as increasing storage costs and slower system performance as data volumes rise over time. OutBoard uses compression and tiered storage across different databases and storage types to reduce storage usage and costs. It provides a single management interface and integrates fully with SAP systems.

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DataVard OutBoard? Claricent, Inc.
Data volume growth is alarming! ? 47% of respondents ranked data growth in their top three challenges. C Gartner, User Survey Analysis: Key Trends Shaping the Future of Data Center Infrastructure Through 2011 ? Average annual growth rate 40% to 60% per year C Computerworld, 2010 2 ? 2008
Data growth is eating up your storage! ? Buying more storage does not solve the problem ? The larger your DB, more time is needed for backup & recovery, system copies, and upgrades. ? The larger your DB the more performance is impacted and if that was not enough 3 ? 2008
Productive data is like an iceberg Data in productive Manage the root cause BW 1. Data on disc Our experience: 2. data center 1 GB in PROD takes 3. Backups 10 - 18 GB in total storage 4 ? 2008
The solution: NearLine Storage with Outboard Fight the root cause Profit from effects ? Outboard frees capacity on ? Reduce storage costs your DB. Immediate relief of ? Save time for backup & 30+%. recovery, system copies and ? Slow down data growth upgrades automatically ? Improve performance for hot and Implement a smart ILM strategy: warm data cold data is compressed in Outboard (avg. 95%) & 5 ? 2008
SAP BW Information Lifecycle Management with OutBoard USER Newest data HOT BW Accelerator 0-2 years WARM OutBoard? ? Data stored cost- optimized and audit-proof >2 years ? Compressed by 95% COLD ? Available anytime for reporting and loading 6 ? 2008
SAP BW Architecture with Near-Line Storage Enterprise Query, Reporting & Analysis BW Accelerator Analytical Engine InfoObjects / Master Data Data Flow Control / Process Chains Meta Data Repository / Documents Enterprise Data Warehouse (Architected) Near-Line Storage Data Marts Data Store Object (volatile) Data Warehouse Layer SAP NLS Interface (historical) DataSource / PSA 7 ? 2008
OutBoard? Cockpit & Object Browser The OutBoard? cockpit serves as central access point to all OutBoard? functions. The Object Browser gives a full overview on all InfoProviders & PSAs stored in OutBoard?. ? 2008
OutBoard? - Compressed vs. Uncompressed data volume Actual customer example of compression ratio ? 2008
Cost savings with a live example Linear growth 2.5 Assumptions 2 ? Data growth 30% p.a. 1.5 No Outboard ? Avg. compression rate With Outboard Lin 90% 1 DB capa ? Immediate relief 40% 0.5 ? Data retention time 0 2 years 2011 2012 2013 2014 2015 Exponential growth 3.5 3 2.5 2 No Outboard exp 1.5 With Outboard exp 1 DB capa 0.5 0 2011 2012 2013 2014 2015 ? 2008
No-stress purchasing and implementation ? 1 day installation on existing system C 10 days consulting incl. analysis and support ? 1 Productive system = 1 Price C OutBoard? is priced per productive system, not by data volume in NLS or users ? No separate hardware or database ? Try before you buy (1 month) 11 ? 2008
OutBoard? in a nutshell ? Only warm data in online database. Cold data is World-class Compression compressed by up to 95% at full availability. Reduces Data Growth ? Immediate relief of 30+% ? No 3rd party database (e.g. Sybase) required 100% Integrated in SAP: ? Technically simple architecture reduces risk, simplifies One Technology, No Risk! operation and guarantees efficient operation ? SAP Netweaver certified ? Easy installation and operation with minimal training required Fair & Simple Pricing ? No additional software or hardware required ? Simple pricing per production system (instead of per-user) ? No hidden cost Improve System ? Reduced database improves performance of BW reporting ? Backup & restore times are reduced Operation and ? Improves disaster recovery due to minimized data in one Performance DB 12 ? 2008
Outboard 2.0 Complete Data Management and HANA support
Introduction ? SAP HANA as an in-memory solution offers undreamt-of possibilities, in particular by the extreme acceleration of the loading processes. ? By the high cost of operation and the acquisition of HANA, we see a functional gap: data can be kept only in memory. ? We recommend to close this gap through a combination of near-line-storage (NLS) and a smart storage management solution. 14 14 ? 2008
Outboard 2.0 C Data Management with HANA SAP cluster tables Business Warehouse Near-Line Storage ? Native to Data Aging Sybase IQ & SAP NLS External / Interface MaxDB ? Remote DB Remote (via RFC) DB Storage Mgmt. ? File HANA ? Corporate File / DB Cloud Cloud ? End of lifecycle Deletion To accommodate a variety of customer needs in terms of reporting speed and TCO reduction we offer a range of storage layers: 1. SAP cluster tables for high compression and fast access. These tables will be stored in HANA 2. External DB: Sybase IQ & MaxDB native or Remote DB 3. File or Enterprise cloud: delivers the best TCO and allows for maximum flexibility 4. At the end of the lifecycle data can be deleted from OutBoard automatically 15 ? 2008
Storage Layer Concept Enables you to manage cost of storage inline with the value of information. Data can be transfered to other layers managing various aging thresholds. Example: 1.Up to 2 years in HANA 2.2-3 years in cluster tables on HANA 3.3-7 years in external / remote DB 4.7-15 years in file 5.15+ will be deleted 16 ? 2008
Layer 2: External / Remote DB Sybase IQ MaxDB Storage Business Warehouse ODBC Mgmt. Near-Line Storage RFC Separate SAP Netweaver HANA DB2 ORACLE MS SQL DB This option allows you to reuse your existing DB licenses and know-how to store aged data in a cost efficient way. ? Sybase IQ as a data smart store that allows for fast access while being operated at lower TCO than HANA ? SAP MaxDB is a proven and robust technology that delivers superior TCO and seamlessly integrates into any SAP landscape ? Remote DB allows you store and read the data via RFC connection to/from a SAP NetWeaver (and the corresponding underlying DB); this option best leverages existing investments and is operated at low cost 17 ? 2008
Layer 3: File / Cloud Storage Business Warehouse Mgmt. Near-Line Storage Cloud File Server HANA DB This option delivers the best TCO and allows for maximum flexibility as storage can be allocated on the fly. Due to the slow access speed this option is recommended for very aged data only and for corporate memory, PSA, change log. 18 ? 2008
For more information please contact: David A. Fox Managing Principal Consultant T: 888-325-6496 x511 E: dfox@claricent.com or go to http://claricent.com/outboard 19 www.claricent.com ? twitter/claricent ? facebook/claricent ? 2008

More Related Content

Outboard Feel Good NLS

  • 1. DataVard OutBoard? Claricent, Inc.
  • 2. Data volume growth is alarming! ? 47% of respondents ranked data growth in their top three challenges. C Gartner, User Survey Analysis: Key Trends Shaping the Future of Data Center Infrastructure Through 2011 ? Average annual growth rate 40% to 60% per year C Computerworld, 2010 2 ? 2008
  • 3. Data growth is eating up your storage! ? Buying more storage does not solve the problem ? The larger your DB, more time is needed for backup & recovery, system copies, and upgrades. ? The larger your DB the more performance is impacted and if that was not enough 3 ? 2008
  • 4. Productive data is like an iceberg Data in productive Manage the root cause BW 1. Data on disc Our experience: 2. data center 1 GB in PROD takes 3. Backups 10 - 18 GB in total storage 4 ? 2008
  • 5. The solution: NearLine Storage with Outboard Fight the root cause Profit from effects ? Outboard frees capacity on ? Reduce storage costs your DB. Immediate relief of ? Save time for backup & 30+%. recovery, system copies and ? Slow down data growth upgrades automatically ? Improve performance for hot and Implement a smart ILM strategy: warm data cold data is compressed in Outboard (avg. 95%) & 5 ? 2008
  • 6. SAP BW Information Lifecycle Management with OutBoard USER Newest data HOT BW Accelerator 0-2 years WARM OutBoard? ? Data stored cost- optimized and audit-proof >2 years ? Compressed by 95% COLD ? Available anytime for reporting and loading 6 ? 2008
  • 7. SAP BW Architecture with Near-Line Storage Enterprise Query, Reporting & Analysis BW Accelerator Analytical Engine InfoObjects / Master Data Data Flow Control / Process Chains Meta Data Repository / Documents Enterprise Data Warehouse (Architected) Near-Line Storage Data Marts Data Store Object (volatile) Data Warehouse Layer SAP NLS Interface (historical) DataSource / PSA 7 ? 2008
  • 8. OutBoard? Cockpit & Object Browser The OutBoard? cockpit serves as central access point to all OutBoard? functions. The Object Browser gives a full overview on all InfoProviders & PSAs stored in OutBoard?. ? 2008
  • 9. OutBoard? - Compressed vs. Uncompressed data volume Actual customer example of compression ratio ? 2008
  • 10. Cost savings with a live example Linear growth 2.5 Assumptions 2 ? Data growth 30% p.a. 1.5 No Outboard ? Avg. compression rate With Outboard Lin 90% 1 DB capa ? Immediate relief 40% 0.5 ? Data retention time 0 2 years 2011 2012 2013 2014 2015 Exponential growth 3.5 3 2.5 2 No Outboard exp 1.5 With Outboard exp 1 DB capa 0.5 0 2011 2012 2013 2014 2015 ? 2008
  • 11. No-stress purchasing and implementation ? 1 day installation on existing system C 10 days consulting incl. analysis and support ? 1 Productive system = 1 Price C OutBoard? is priced per productive system, not by data volume in NLS or users ? No separate hardware or database ? Try before you buy (1 month) 11 ? 2008
  • 12. OutBoard? in a nutshell ? Only warm data in online database. Cold data is World-class Compression compressed by up to 95% at full availability. Reduces Data Growth ? Immediate relief of 30+% ? No 3rd party database (e.g. Sybase) required 100% Integrated in SAP: ? Technically simple architecture reduces risk, simplifies One Technology, No Risk! operation and guarantees efficient operation ? SAP Netweaver certified ? Easy installation and operation with minimal training required Fair & Simple Pricing ? No additional software or hardware required ? Simple pricing per production system (instead of per-user) ? No hidden cost Improve System ? Reduced database improves performance of BW reporting ? Backup & restore times are reduced Operation and ? Improves disaster recovery due to minimized data in one Performance DB 12 ? 2008
  • 13. Outboard 2.0 Complete Data Management and HANA support
  • 14. Introduction ? SAP HANA as an in-memory solution offers undreamt-of possibilities, in particular by the extreme acceleration of the loading processes. ? By the high cost of operation and the acquisition of HANA, we see a functional gap: data can be kept only in memory. ? We recommend to close this gap through a combination of near-line-storage (NLS) and a smart storage management solution. 14 14 ? 2008
  • 15. Outboard 2.0 C Data Management with HANA SAP cluster tables Business Warehouse Near-Line Storage ? Native to Data Aging Sybase IQ & SAP NLS External / Interface MaxDB ? Remote DB Remote (via RFC) DB Storage Mgmt. ? File HANA ? Corporate File / DB Cloud Cloud ? End of lifecycle Deletion To accommodate a variety of customer needs in terms of reporting speed and TCO reduction we offer a range of storage layers: 1. SAP cluster tables for high compression and fast access. These tables will be stored in HANA 2. External DB: Sybase IQ & MaxDB native or Remote DB 3. File or Enterprise cloud: delivers the best TCO and allows for maximum flexibility 4. At the end of the lifecycle data can be deleted from OutBoard automatically 15 ? 2008
  • 16. Storage Layer Concept Enables you to manage cost of storage inline with the value of information. Data can be transfered to other layers managing various aging thresholds. Example: 1.Up to 2 years in HANA 2.2-3 years in cluster tables on HANA 3.3-7 years in external / remote DB 4.7-15 years in file 5.15+ will be deleted 16 ? 2008
  • 17. Layer 2: External / Remote DB Sybase IQ MaxDB Storage Business Warehouse ODBC Mgmt. Near-Line Storage RFC Separate SAP Netweaver HANA DB2 ORACLE MS SQL DB This option allows you to reuse your existing DB licenses and know-how to store aged data in a cost efficient way. ? Sybase IQ as a data smart store that allows for fast access while being operated at lower TCO than HANA ? SAP MaxDB is a proven and robust technology that delivers superior TCO and seamlessly integrates into any SAP landscape ? Remote DB allows you store and read the data via RFC connection to/from a SAP NetWeaver (and the corresponding underlying DB); this option best leverages existing investments and is operated at low cost 17 ? 2008
  • 18. Layer 3: File / Cloud Storage Business Warehouse Mgmt. Near-Line Storage Cloud File Server HANA DB This option delivers the best TCO and allows for maximum flexibility as storage can be allocated on the fly. Due to the slow access speed this option is recommended for very aged data only and for corporate memory, PSA, change log. 18 ? 2008
  • 19. For more information please contact: David A. Fox Managing Principal Consultant T: 888-325-6496 x511 E: dfox@claricent.com or go to http://claricent.com/outboard 19 www.claricent.com ? twitter/claricent ? facebook/claricent ? 2008

Editor's Notes

  • #2: An outboard motor is a propulsion system for boats, consisting of a self-contained unit that includes engine, gearbox and propeller or jet drive.Less risk C proven SAP technology = less risk that something can go wrong after an upgrade; dependency on database vendor (e.g. PBS is using Sybase IQ and SAP bought Sybase. What will happen with the database now ?)BWA ready C some solution are competing with BWA by giving similar technology at lower price than SAP. However NLS interface is meant for aged data, SAP will not add functionality which will allow BWA competitors to be better.