Streamline SAP HANA with Nearline Storage Solutions by PBS and IBM Elke Hartmann-Bakan, IBM Germany Dr. Klaus Zimmer, PBS Software DMM127

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1 Streamline SAP HANA with Nearline Storage Solutions by PBS and IBM Elke Hartmann-Bakan, IBM Germany Dr. Klaus Zimmer, PBS Software DMM127

2 Agenda 2 Introduction Motivation Approach Solution IBM/PBS Software Data volume management for SAP HANA How a sound nearline strategy looks like IBM infrastructure PBS NLS solutions for SAP BW and SAP ERP Benefits Customer experience

3 Introduction 3 Introduction Motivation Approach Solution IBM/PBS Software Data volume management for SAP HANA How a sound nearline strategy looks like IBM infrastructure PBS NLS solutions for SAP BW and SAP ERP Benefits Customer experience

4 IBM and SAP Partnership 4 Broadest IT product portfolio: Hardware, Software, Services, Consulting, Financing Ten thousands of SAP installations Certified Global SAP Partner Global Service Partner Global Technology Partner Global Cloud Service Partner (HEC certified) Global Hosting Partner Global Channel Partner IBM has been recognized with an SAP Pinnacle Award every year since it's inception (2002) awards for IBM awards for IBM awards for IBM awards for IBM awards for IBM awards for IBM awards for IBM awards for IBM Period Awards for IBM 4

5 IBM s Offerings for SAP Customers 5 Strategy, Business and IT Consulting Applications Infrastructure Services Corporate strategy Business process Reengineering SAP Business Suite SAP Business All-in-One SAP Business bydesign Plan & Design Build & Implement Operate & Run Implementation Services IT Management Consulting SAP SAP Business One SAP Analytics Solutions SAP Mobility Solutions Implementation Services Sourcing Services Middleware Information Human Interaction Software Management Collaboration Development Cloud Smarter Infrastructure Transactions & Messaging Business- Intelligence Governance, Risk,Compliance Infrastructure Linux Windows AIX IBM i z/os Storage Servers and Storage 5

6 Introduction PBS Software GmbH 6 Founded in 1991, privately owned Worldwide more than 1500 customers Specialized on software solutions to enhance SAP: Nearline storage, ILM, data archiving, system decommissioning All major solutions certified by SAP SE

7 PBS Software Portfolio 7 Add-on Solutions for SAP ERP Data access from archive and database Display transactions, reporting Nearline Storage Solutions Fast query access (DB and NLS) Analytical and transactional systems PBS * ilm Solutions Data Extraction / Decommissioning Data extracts from archive and database SAP independent data access Compliant Storage Economical and lean interface software Documents and SAP data archive files

8 Motivation 8 Introduction Motivation Approach Solution IBM/PBS Software Data volume management for SAP HANA How a sound nearline strategy looks like IBM infrastructure PBS NLS solutions for SAP BW and SAP ERP Benefits Customer experience

9 Impact of Increasing Data Volume 9 Data Volume SAP DB Performance (Analytics) Significant Improvement TCO Hardware Licenses Admin Backup/DR Intensified TCO Impact

10 Active Data Volume Management 10 Any DB SAP HANA Manage your data volume actively! Control the data growth rate Improve current hardware/resource usage Keep your system managable Limit the TCO increase

11 Robust Data Aging Concept 11 Data Category Online Database Near-Line Storage (Read Only) Classic Archive (Read Only) HOT Frequent access, updates/changes WARM Occasional access, mature data COLD Rare access, fix data Seamless user access to ALL data

12 NLS Requirements for Users 12 Nearline storage challenges from a user s perspective: Tansparent and seamless data access Ideal integration into the SAP environment and document flow Optimal performance for the nearline/archive retrieval access High data compression in nearline database/archive Meet compliance requirements (IRS, SOX, ) Long-term archiving option

13 Approach 13 Introduction Motivation Approach Solution IBM/PBS Software Data volume management for SAP HANA How a sound nearline strategy looks like IBM infrastructure PBS NLS solutions for SAP BW and SAP ERP Benefits Customer experience

14 Nearline/Archiving Architecture for SAP 14 SAP ERP SAP BW Nearline/Archiving Solution Nearline Database BW InfoProvider ERP Application Nearline/Archive Interface Nearline/ Archiving Application Classical Archiving Any DB SAP HANA SAP ADK Index

15 What Makes an Effective NLS Solution? 15 Minimum features for a robust nearline database Effective NLS data transfer very fast load process Huge data compression (up to 90% and more) Suitable for large data volumes => BIG DATA Very fast retrieval response time especially with high data load No need for aggregates or indexes Low administration effort

16 Solution - IBM 16 Introduction Motivation Approach Solution IBM/PBS Software Data volume management for SAP HANA How a sound nearline strategy looks like IBM infrastructure PBS NLS solutions for SAP BW and SAP ERP Benefits Customer experience

17 IBM Solutions & PBS Software 17 PBS ContentLink with IBM System Storage Archive Manager Hardened-for-archive Tivoli Storage Management (TSM) Server Archive/retrieve only solution Facilitates compliance with regulatory requirements Comprises IBM server, storage, tape and SSAM (archive storage management SW) Utilizes any of TSM s hundred of supported devices IBM DB new database option for PBS NLS solutions Easy to use Excellent performance Optimal resource utilization of storage, memory and cores Compression rates up to 95% Attractive TCO

18 PBS ContentLink Overview & IBM Storage 18 ContentLink (PCL) is a lean software interface to link SAP systems with compliant, state-of-the-art storage systems. PCL handles storage and retrieval of data, files and documents. ADK Files, Documents, Print Lists,... SAP ERP SAP BW SAP CRM... PBS ContentLink (HTTP, WebDAV) Linux, Unix, Windows Compliant Storage System SAP Server Old: IBM DR550, IA New: IBM Storage Archive Server (SAAM) Migration: certified migration path from DR500 to SSAM

19 IBM DB Architecture 19 New technology for accelerating queries CPU-optimized unique runtime handling Unique encoding for speed and compression Unique memory management Columnar storage, vector processing (e.g. SIMD) Built directly into the DB2 kernel DB Revolution or evolution BLU tables coexists with traditional row tables - in same schema, storage, and memory Query any combination of row or BLU tables Easy conversion of tables to BLU tables Change everything at one, or change incrementally DB2 capacity in Peta Bytes One partition: PB compressed Thousand partitions: PB compressed (2 Zeta Bytes) 19

20 Introducing DB BLU Acceleration includes over 30 new patents and patents pending from our labs! Super Fast, Super Easy Create, Load and Go! No Indexes, No Aggregates, No Tuning, No SQL changes, No schema changes IBM Corporation

21 DB Key Benefits for PBS SW 21 Storage Reduction Multiple examples of data requiring substantially less storage 5% of the uncompressed size, Fewer objects required Multiple compression techniques Combined to create a near optimal compression strategy Compression algorithm adapts to the data DB Performance Up to 55 times faster on same Hardware SAP BW 7.0, 12 Mio records, 200 attributes, SLES 11 /vsphere GB RAM, 16 Cores, 3,6 TB compressed Ease of Use SAP DBA cockpit for DB2: A complete built-in solution. Reduces DBA time up to 30% (case study: IWB) Almost all DBA activities are automated with DB2 Memory tuning and configuration (Self Tuning Memory Management) Storage and logfile management, online reorg, automatic runstats

22 Full usage of Unique DB2 Features 22 Faster Query performance Improved parallelism of workload DB Autonomic and automatic features for ease of use STMM self tuning memory management Real time statistics, online reorg High Availability and Disaster Recovery HADR with Cluster Management (Tivoli Systems Automation for Multiplatforms) Compression Compression rates up to 70-95% (with DB2 10.5) Optimal resource utilization: less memory, less IOPS, less disk space TCO DB2 NLS data can be kept on less expensive hardware (Intel, Power) Customer can reuse his existing hardware, fully virtualized DB2 OEM license with all features in PBS CBW NLS bundle Flexible design to adjust implementation based on customers requirements

23 SAP BW NLS on DB2 Backup 23 Database backups of the NLS system can be performed in less frequent intervals using different infrastructure (e.g. Online Backup vs. Flash copy) tape tape tape tape tape BW database NLS / DB2 database tape tape

24 Solution PBS 24 Introduction Motivation Approach Solution Solution Benefits IBM/PBS Software Data volume management for SAP HANA How a sound nearline strategy looks like IBM infrastructure PBS NLS solutions for SAP BW and SAP ERP Customer experience

25 PBS CBW Nearline Solution for SAP BW 25 CBW NLS

26 SAP BW Nearline Process 26 SAP Nearline Storage Interface: Data Archiving Process "DAP" Data transfer via SAP NLS into the nearline database and/or ADK files Data compression > 80 %, in many cases 90 % Transparent process for reload and updates CUBES DSO PSA Any DB HANA DAP NLS Database ADK Fast data transfer Huge compression Fast retrieval Large compression Compliant storage Long-term archiving PBS CBW NLS specific enhancement: archiving/nls option for PSA data

27 PBS CBW NLS solution with IBM DB Typical query with simultaneous access to SAP HANA and nearline storage: OLAP splits query in two parts retrieving the data from respective sources BW Query NLS and DB InfoProvider Cube - DSO O L A P SAP Nearline Provider Any DB SAP HANA NLS Database IBM DB PBS CBW Nearline Services

28 PBS CBW Nearline Solution for SAP BW 28 Simultaneous query access to database and NLS repository: The OLAP splits queries into two parts against database and NLS NLS DB (here HANA) InfoProvider with 29 million records: 14 million in HANA, 15 million in NLS Read time comparison HANA CBW NLS

29 BW Query Example 29 SAP BW Company with 1 million customers and 100 sales organisations Evaluate annual turnover by sales organisation Expected result set: List output with 100 rows NLS processing: read 1 million records (volume per customer), aggregate by sales organisation happens by OLAP processor. PBS Optimization: Copy MD attributes (here: sales organisation) to NLS, process the aggregation on the NLS database server OLAP engine SAP Nearline Interface NLS Database IBM DB Any DB SAP HANA Characteristics Key figures MD attributes Navigation attrib. Hierarchies Characteristics Key figures MD attributes Navigation attrib. Hierarchies

30 PBS CBW Master Data Snapshots 30 SAP BW Query example with regular NLS processing: Large NLS result set, aggregation by SAP OLAP Example runtime ~ 300 sec. Query example with PBS CBW master data snapshot Small NLS result set, aggregation in NLS repository (DB2) Example runtime ~ 3 sec. OLAP engine Any DB SAP HANA Characteristics Key figures MD attributes Navigation attrib. Hierarchies SAP Nearline Interface Standard SAP DAP PBS DSP Synchronization NLS Database IBM DB InfoProvider Master Data Hierarchies

31 Gigabyte seconds CBW NLS Benefits 31 Global CBW customer feedback SME customers (BW < 1 TB) Global big data companies (>30 TB) Classical BW and BW on HANA NLS and/or classical ADK archiving Typically achieved NLS data compression Typically achieved NLS runtime improvement 92 % Compression x 8.1 x 8.2 x TB 224 GB

32 ERP: Nearline Storage and Data Archiving 32 NAI NLS NAI Nearline Database NAI Nearline Analytic Infrastructure

33 PBS NAI Nearline Solution for SAP ERP 33 SAP ERP Application Modules PBS SAP ADK Archiving Nearline & PBS add-ons Interface Retrieval PBS NAI PBS archive add ons PBS Index Nearline Database IBM DB Nearline DB: PBS Index AS Index (ZARIX) Any SAP table Any DB SAP HANA PBS Index ADK ArchiveLink WebDAV Compliant Storage ADK

34 NLS Integration of Classical Archive Data 34 Effective combination of nearline storage and classical archiving SAP ERP Store PBS index data in nearline db Application Modules Any DB SAP HANA PBS NAI IBM DB2 PBS Index ADK Effective index structures Fast indexing of even huge archive data Huge data compression Very fast index and archive access Seamless integration display transactions of corresponding PBS archive add ons

35 NAI: Integrated & Seamless Data Access 35 Access to PBS transactions: roles in user menue Example: PBS version of FBL3N G/L account line items PBS-FBL3N results with optional NAI aggrgation Drill-down PBS-specific parameter to choose the data source

36 NAI and PBS archive add ons 36 Navigation in business chains and document flow: NLS data seamlessly integrated Drill-down with double-click Original document Environment: - Further assignments - Object links

37 Runtime (h) Runtime (sec) NAI / archive add ons Customer Feedback 37 Global customers benefitting from NLS and archive integration Reduced administration efforts Very short index generation runtime Significantly improved archive retrieval performance Index generation Data retrieval 10 ADK Indexing NAI Indexing x 7,5 x min 2s 23s 3,5s x 210 x 6,5 0 COPA PCA 0 COPA PCA

38 EDS: Integration of External Data into SAP 38 Application example: NAI-CPOS for POS data #1 PBS NAI + EDS Data analysis Reporting Validation/audits # Legacy POS data CPOS ETL NAI IBM DB2 Any DB SAP HANA 3.6 TB/y #n Customer system: 85 billion line items /y ~ 85 TB /y Compliant EDS archiving Archive SAP ERP Goal: Use legacy BIG DATA within the SAP infrastructure

39 Summary Key Points to Take Home 39 Data volume and growth have a strong impact on TCO (for SAP HANA) Active data volume management is key to control growth rate and total data volume Nearline storage and data archiving are basic strategies for active data volume management in SAP systems (classical database as well as HANA) Such NLS strategies significantly reduce the data footprint in your SAP database The presented NLS solutions from PBS and IBM enhance SAP features to meet the requirements and challenges of a sound data volume management strategy This NLS solutions from PBS and IBM ensure transparent data access to NLS/archive data for end users with best possible response time and optimal data compression They reduce the adminstration efforts to successfully run your SAP systems (on HANA)

40 One more thing 40 Magic Quadrant for Structured Data Archiving and Application Retirement Source: Gartner

41 Your Turn! 41 Questions? Session Code: DMM127 Kindly complete your session evaluation form. Contacts: Elke Hartmann-Bakan Dr. Klaus Zimmer

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