HANA is an in-memory database that allows for real-time processing of large quantities of data. It provides immediate results for analytics and transactions. HANA can power various SAP applications and includes tools for data management, security, and operations. SAP's roadmap is to use HANA as the primary data store for its Business Warehouse product and develop new applications that leverage HANA's capabilities. Dell offers HANA solutions using its PowerEdge servers with SAP software preinstalled along with consulting services.

1. HANA overview
Jin Jiang
Solution Architect
17-Oct

2. Agenda
Background
Tech overview
Roadmap
Competitor
HANA in Dell

3. Technology Innovations
Technology that allows the processing of
massive quantities of real time data
in the main memory of the server to provide
immediate results
from analyses and transactions

4. Merger & Acquisition

5. What’s the HANA
HANA=High-performance Analytic Appliance
An appliance for processing high volumes of
transactional data in real time
Includes tools for data modeling, data and
lifecycle management, security, operations
Provides support for multiple interfaces
based on industry standards

6. The Application powered by HANA
• Sales & Operations Planning
• SAP Smart Meter Analytics
• SAP Dynamic Cash Management
• SAP Trade Promotion Management
• SAP BusinessObjectsStrategic Workforce Planning
• SAP BusinessObjects Planning and Consolidation
• Profitability Analysis Accelerator for ERP (CO-PA)

7. Technical Overview
Calculation Model
 A calc model can be generated on the fly
based on input script or SQL/MDX
 A calc model can also define a parameterized
calculation schema for highly optimized reuse
 A calc model supports scripted operations
Data Storage
 Row Store - Metadata
 Column Store – 10-20x Data Compression

8. SAP HANA Solutions & Win Case

9. HANA: Industry Scenarios
• Financial Services
‐ Hedge fund trading analysis .
‐ Real-time systematic risk management and
reporting based on market trading exposure
• Consumer Products
‐ Supplier Risk Management
‐ Inventory Recall Reconciliation Product track
and trace
‐ Product Lifecycle and Cost management
‐ EPA standards compliance
‐ On-Shelf Availability Analysis
‐ Real-time Warranty and defect analysis
• Retail
‐ Store Operations
‐ Point-of-Sales Retail Sales Analytics
‐ Load Balance Optimization
‐ Real-time completive multi-channel pricing
‐ Product damage, returns and spoilage
• Manufacturing
‐ O&G Operational Performance Management Real-time Analysis Example: Hedge Fund Analysis
‐ Manufacturing Production and Maintenance Analytics
‐ Real-time Asset Utilization Analytics

10. SAP HANA Road Map
Today‘s System Landscape
 ERP System running on traditional database
 BW running on traditional database
 Data extracted from ERP and loaded into BW
 BWA accelerates analytic models
 Analytic data consumed in BI or pulled to data marts
Step 1 – In-Memory in parallel
(Q4 2010)
 Operational data in traditional database is replicated into
memory for operational reporting
 Analytic models from production EDW can be brought into
memory for agile modeling and reporting
 Third party data (POS, CDR etc) can be brought into
memory for agile modeling and reporting

11. SAP HANA Road Map
Step 2 – Primary Data Store for BW
(Planned for Q3 2011)
 In-Memory Computing used as primary persistence
for BW
 BW manages the analytic metadata and the EDW data
provisioning processes
 Detailed operational data replicated from applications
is the basis for all processes
 SAP HANA 1.5 will be able to provide the functionality
of BWA
Step 3 – New Applications
(Planned for Q3 2011)
 New applications extend the core business suite with
new capabilities
 New applications delegate data intense operations
entirely to the in-memory computing
 Operational data from new applications is immediately
accessible for analytics – real real time

12. SAP HANA Road Map
Step 4 – Real Time Data Feed
(2012/2013)
Applications write data simultaneously to traditional
databases as well as the in-memory computing
Step 5 – Platform Consolidation
 All applications (ERP and BW) run on data residing in-
memory
 Analytics and operations work on data in real time
 In-memory computing executes all transactions,
transformations, and complex data processing

13. Competitive Overview
• Optimized Hardware
– Processor: 40 Intel Cores (4 Intel® Xeon® E7-4870)
– Memory: 1 Terabyte DRAM
• Software Breakthroughs
– Adaptive In-Memory Caching
– In-Memory Columnar Compression
– Optimized Storage Block Access
– Free Form Data Exploration
– High Density Visualizations
– Optimized for Exadata

14. HANA in Dell
Dell offers this solution around SAP HANA including:
• Executive Discovery Workshop
• Technology Introduction / POC
• Design and Implementation
Dell SAP HANA Hardware Architecture:
Dell solution for SAP HANA includes:
Dell PowerEdge R910 • Dell PowerEdge R910 server
• 2 x Intel x7560 2.26 GHz • SAP software preinstalled by Dell, including
• 256 GB RAM the InMemory Computational Engine (ICE)
• 2 x Fusion-io ioDrive Duo 640GB • Consulting services as listed below
• 14 x 146 GB 15K SAS Drives • HANA SW License from SAP
• SuSE Linux Enterprise Server 11 SP1
Dell Confidential

15. Thank you!