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SAP FORUM İSTANBUL 2014Basit Düşün Fark YaratSYBASE IQ İLE NEAR-LINE STORAGE VE SAP NETWEAVER BW ON HANABuğra Tezer / Ömür EvliyaSAP Türkiye
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Agenda
What is Near-Line Storage (NLS)?� Business Challenges, RDS, Architecture, Deployment Options…
What is NLS Interface in SAP Business Warehouse (BW)?� Definition of NLS wrt BW, multi temperature data…
What is an Implementation for the SAP BW NLS Interface?� Implementation aspects, design-runtime objects, bw settings …
What is Near-Line Storage (NLS)?
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SAP NetWeaver BW Near-Line Storage rapid-deployment solution
Problem: The BW system has very high volumes of data. Maintaining the BW instance becomes difficult. Reporting is not efficient because of data overload.
Solution: Adopt a data aging strategy with SAP NetWeaver BW Near-Line Storage rapid deployment solution.
Underlying SAP NetWeaver BW database
Hot current data
Limited size
Higher resource cost
SAP® Sybase ® IQ software
(near-line storage)
Cold historical data
Massive volumes
Lower resource cost
SAP NetWeaver Business Warehouse application
� Benefits: • Separation of rarely accessed data from frequently accessed data, keeping the BW volume and HANA
in- memory costs in a reasonable range • Data in near-line storage is highly compressed in cost-efficient storage with fewer backups reducing
operational costs• Perfect balance of performance and cost
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Adopt a data aging strategy with SAP NetWeaver BW Near-Line Storage
Business challenges� Massive amounts of data in the BW system
combined with high maintenance effort� Long downtimes for BW system maintenance� Difficult transition to a landscape with a well
defined data aging strategy� Reduce TCO of SAP HANA for a BW on HANA
system� Heterogeneous system landscapes including
non-SAP NLS solutions.
There is a solution
The SAP NetWeaver BW Near-Line Storage rapid-deployment solution provides a complete data-archiving solution that enables transparent access to the archived data for reporting, and query capabilities. The near-line storage technology will secure write-protected data, partitioned by age and/or time, therefore resulting in a leaner, low-cost, more easily maintainable online SAP NetWeaver Business Warehouse application.
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SAP NetWeaver BW Near-Line Storage solution architecture
• Tight integration with SAP Sybase IQ via DBSL (direct communication)
• Mass insertion into SAP Sybase IQ with IQ loader ( ~ 200 Million rows per hour )
• Partitioning• Expected data compression around 90%• Available since SAP NetWeaver BW 7.30 Sp09
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Deployment options of SAP NetWeaver BW Near-Line Storage rapid-deployment solution
Option 1
Option 2
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Option 1: Migration to SAP BW powered by SAP HANA
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Option 2: SAP BW running on any database
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Benefits for youWhat‘s the value
This rapid deployment solution provides the following benefits:• Increase in performance of the SAP Business Warehouse• Reduced total cost of ownership for the SAP HANA platform• Reduced maintenance efforts with lower downtimes
This rapid-deployment solution combines the following added benefits: • Detailed configuration guides based on best practices • Pre-configuration (scripts, business configuration sets) to accelerate the implementation • A full range of enablement and implementation content• Service offerings from SAP and partners to implement the solution in a short timeframe
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Features of the SAP BW NLS Implementation for Sybase IQ
§ Optimized NLS data transfer throughout using IQ Loader functionality
§ SAP HANA and IQ share the same columnar paradigm
§ Expected data compression around 90%
§ Ready for large data volumes
§ Suitable for ad-hoc queries with long history
§ Minimum administrative effort
What is NLS Interface in SAP Business Warehouse (BW)?
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Definition of Near-line Storage (NLS) with regards to SAP BW
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Multi Temperature Data
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LSA and NLS
Different Layers could have different NLS requirements.Some examples:•Reporting Layer: As this is the layer with the data for user access the amount of data or the required history belongs to the user requirements. In Finance for example most customers will report on actual and last year at least. In this case two years will be hot data and rest would be in the archive.•Propagation and Business transformation: Layers without reporting (be aware of direct DSO reporting with HANA) don’t need to have the same history as above. In most cases half a year will be sufficient, but has an impact on the locking problem. •Corporate Memory: As this is only a back up for safety reasons the data can be directly archived (Check that housekeeping is in place and PSA data is not hold for longer that 2 weeks in general)
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Design AspectsNearline Storage (NLS) vs. BW Accelerator (BWA)
What is an Implementation for the SAP BW NLS Interface?
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NLS with Sybase IQImplementation Aspects
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NLS Interface – Design and Runtime Objects
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An Example – How does it work?
1. Data partitioned by fiscal
Quarter/year
2. Partitions being moved to Near-Line Storage are
locked for update
3. Once the data is moved to Near-Line Storage, it is deleted from BW
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NLS Related MultiProvider Settings
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NLS Related Query Designer Settings
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Data Access within the APD
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Reload Data from both Online and Nearline partitions for Cubes
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Summary
q NLS should be a part of an Information Lifecycle Management (ILM) or Data Aging Strategy• Based on well-established SAP BW archiving concepts• Data consistency guaranteed before deleting the data from source• Data archieved in NLS can be incorporated into reporting• Saves storage costs and other system resources• High compression rate (up to 95% deending on implementation)• Increases retention period for analysis data• Included in the query statistic data collection (RSRT)
q NLS Interface Features• Supports archiving of InfoCubes and Datastore Objects• Mainly time-based archiving, yet can also be based on other characteristics• Lock of the archieved data slice in the original Infoproviders• NLS Process Steps in Process Chain Handling• Cope with changes in the meta data to the BW objects of the archived data• Deletion of NLS partitions supported
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Teşekkürler
İletişim Bilgileri:
Buğra Tezer Ömür EvliyaD&T Team Leader BAS Team [email protected] [email protected]