ERP HANA Training in Chennai | ERP HANA Training Institute in Chennai

ERP HANA Training

APPLICATION FORM

ERP HANA Training

Course Goals:

Business Process

How HANA Module work in R/3

Integration with other Modules

 

ERP HANA Contents:

ERP HANA Overview & Roadmap (What is ERP HANA?)

1. ERP HANA in a Nutshell

1.1. Evolution of In Memory computing at ERP

1.2. History HANA

2.1. Early projects

2.2. 2005 Genesis

2. Business Impact of new architecture

1.2.1. Not about IT, it's about running a real-time business

1.2.2. Increasing data volumes

1.2.3. Increasing number of users (mobile)

1.2.4. Need for Flexibility

1.2.4.1. Business needs driving changes in existing systems

1.2.4.1.1. Ad-hoc addition of new requirements

1.2.5. Operational Non-Disruption with a Disruptive Innovation

1.2.6. "Impedance Mismatch"

1.2.6.1. Load performance

1.2.6.2. Query Performance

1.3. In Memory Computing Basics

1.3.1. Faster, Better, Cheaper

1.3.1.1. Risk & Maturity of disk vs. memory dbms

1.3.1.2. Platform for the future

1.3.1.3. IPod example

1.3.1.4. Moore's law

1.3.1.5. What happens when the power goes out?

1.3.2. Cost x GB x Second calculation

1.3.3. Row Store, Column Store, Persistency Layer, Architectural Concept

1.4. ERP HANA Architecture Overview

1.4.1. Engines

1.4.2. Tools

1.4.3. Data Provisioning

1.4.4. Data Modeling

1.5. ERP HANA 1.0 Use Cases

1.5.1. Agile Data Mart

1.5.1.1. HANA in Action stories

1.5.2. ERP Turbo Charging

1.5.2.1. Accelerators

1.5.3. BW on HANA

1.5.4. Application Platform (Apps powered by HANA)

1.5.4.1. ERP Built apps

1.5.4.2. Partner built apps

1.5.4.3. Custom apps (JAVA/ABAP/ETC)

1.6. ERP HANA Roadmap

1.6.1. HANA today

1.6.2. HANA 2.0 (Suite)

 

2. ERP HANA Architecture

2.1. Introduction

2.2. General Architecture Overview

2.3. Hybrid Row & Column store engine

2.3.1. Describe Row store

2.3.2. Describe Column store

2.3.3. Why a hybrid? Best of both worlds

2.3.3.1. Many scenarios need both transactional/metadata and it needs to be calculated/aggregated

2.4. Compression

2.4.1. Optimized for fast access to data

2.4.2. Partial indexing

2.5. Partitioning (memory allocation)

2.6. Delta updates

2.7. Insert Only

2.7.1. Time Traveling

2.8. MDX Engine

2.9. Calculation Engine

2.10. Business Content/Semantic Functions

2.10.1. Business Function Library

2.10.1.1. Currency Conversion

2.10.1.2. Consumable pre-built functions

2.10.2. Predictive Function Libraries

2.11. HANA Studio

2.12. Client Connectivity

2.12.1. Interfaces (ODBC, JDBC, SQL, MDX)

2.13. High Availability

2.13.1. Persistency

2.13.2. Disaster Tolerance

2.14. Multi-tenancy

2.15. HANA Cloud

 

3. ERP HANA Business Cases & ROI Model

3.1. Introduction

3.1.1. Leverage multiple scenarios, not just one specific use case

3.1.2. Focus on things you CAN'T do today

3.1.3. Involve the business up front and along the way, not a typical IT business case

3.1.4. Think big, start small with a quick win to build momentum in business

3.1.4.1. Users will generate many new possibilities once they see something tangible

3.2. Identify Business Scenario

3.2.1. Value Discovery Workshops

3.2.2. Operational

3.2.3. Strategic

3.2.4. Transactional

3.2.5. Analytic

3.3. Building a business case for ERP HANA

3.3.1. The real tools come into play after the real-time business scenario and app have been identified

3.3.2. Map Value Drivers for scenario

3.3.3. Identify KPIS and map to value drivers

3.3.4. Describe Benchmarking Database

3.3.5. Map results of benchmarking to create reference model for scenario improvement

3.4. Build ROI Model

 

4. ERP HANA Applications

4.1. Application Introduction

4.1.1. How are these new apps made possible with HANA

4.2. ERP NetWeaver Business Warehouse on ERP HANA

4.3. ERP Trade Promotion Management

4.4. Sales and Operations Planning

4.5. Business Planning and Consolidation

4.6. Smart meter analytics

4.7. Predictive Text

4.8. Dynamic cash management

4.9. ERP Business Objects Sales Analysis for Retail powered by ERP HANA

4.10. Profitability analysis accelerator for ERP ERP (CO-PA)

4.11. ERP Finance and Controlling Accelerator.

4.12. ERP Sales Pipeline Analysis powered by ERP HANA

 

5. Accelerated ERP Business Suite

5.1. Overview

5.1.1. Philosophy

5.1.1.1. Single Applications

5.1.1.2. Whole Suite

5.1.2. Side car architecture

5.1.3. Table replication

5.1.4. Two options

5.1.5. Write-back scenario

5.2. Current Offering

5.3. Roadmap

 

6. ERP BW on ERP HANA

6.1. Introduction

6.1.1. Why BW on HANA is so freaking cool

6.1.2. 7.30 background

6.2. ERP HANA-specific enhancements

6.2.1. Cubes

6.2.2. DSO

6.2.3. Data Loading

6.2.4. Integrated Planning

6.2.5. Agile Data Modeling

6.2.6. Columnar compression

6.2.7. Landscape Simplification/Lower TCO.

6.3. Implementation

6.3.1. Things to consider

6.3.1.1. Clean up and migrate

6.3.1.2. Migrate as-is

6.3.2. Big Bang

6.3.3. Incremental/Parallel

6.3.4. Prerequisites & Limitations

6.3.5. Scoping/Sizing

6.3.5.1. Source database (size & vendor)

6.3.5.2. Compression rate calculations

6.3.6. Link to outside info or OSS NOTE

6.3.7. Link to Sizing calculator

6.3.8. Landscape Options

6.3.8.1. Things to consider

6.3.8.2. Single-node (2-tier) (dev/prod)

6.3.8.3. Multi-node (3-tier) (dev/qa/prod

6.3.8.3.1. Start with copy of productive system

6.3.8.4. Set up Greenfield position

6.3.9. Near Line Storage w/IQ

6.3.9.1. Hot vs cold data concept

6.3.10. Connect one ERP to 2 BW systems

6.3.10.1. Post copy automation (PCA)

6.4. Database Migration

6.4.1. ERPINST tools for DB export

6.4.2. Exports flat files to temp storage

6.4.3. ERPINST tools for DB import

6.4.4. Import flat files from temp storage to HANA

6.4.5. Unicode conversion is possible as part of process

6.4.6. Key Problems: Production downtime

6.4.7. Performance details (query, data load to info cubes, DSO, remodeling)

6.4.8. Query Performance

6.4.8.1. Simple/Standard

6.4.8.2. Complex/Custom

6.4.8.2.1. Power user granular detail, millions of rows

6.4.9. DSO activation

6.4.10. Data Loading

6.4.10.1. Extract from ERP system activate and load into Cube

6.4.10.2. Large flat file (POS) import into BW (smart meter demo) 6.4.11. Remodeling

6.5. Administration & Operations

6.6. Future Roadmap

 

7. Data Provisioning with ERP HANA

7.1. Introduction to Data Sources

7.1.1. ERP, non-ERP (custom apps or 3rd party apps)

7.1.2. Replication approaches

7.1.2.1. Real time, batch.

7.2. Provisioning & Replication Scenarios

7.2.1. How do you extract data from source system and get it into HANA?

7.2.1.1. What tools are available?

7.2.1.1.1. DS, SLT, DEC,

7.2.1.1.2. When to use which tool

7.2.1.1.3. Semantics and differences

7.2.1.2. What are the steps?

7.2.1.3. Real time or Batch?

7.2.2. ERP real time

7.2.3. ERP batch

7.2.4. Non-ERP real time

7.2.5. Non-ERP batch

7.3. Event Streaming

7.3.1. Sybase ESP to HANA

7.3.2. Event Insight to HANA

7.4. BOBJ Data Services

7.4.1. Supportability Matrix for source system

7.4.2. Complex data scenarios with transformations

7.4.3. Batch ETL tool for non-ERP

7.4.4. Not real time

7.4.5. ODBC connection

7.5. ERP Landscape Transformation (SLT)

7.5.1. Process overview

7.5.2. SLT Plug In listings (supportability matrix)

7.5.3. Real time for ERP and non-ERP

7.5.4. Trigger Based

7.5.5. Fully integrated with HANA studio (screenshot)

7.5.6. Transformation capabilities via R in ABAP

7.6. Direct Extractor Connection (DEC)

7.6.1. NO ETL

7.6.2. Native BW extraction capability to connect to HANA

7.6.3. ICM Framework

8. Data Modeling with ERP HANA

8.1. Key Concepts in Data Modeling for HANA

8.1.1. Components of HANA data model

8.1.1.1. Views

8.1.1.1.1. Analytical Views

8.1.1.1.2. Calculation Views

8.1.1.1.3. Attribute Views

8.1.1.2. Tables

8.1.1.3. Measures

8.1.1.4. Filters

8.1.1.5. Dimensions

8.1.2. Common Scenarios

8.1.2.1. Calculations

8.1.2.2. Filtering

8.1.2.3. Aggregations

8.2. ERP HANA Modeling Environment

8.3. ERP HANA Information Composer

8.4. SQL Scripting

 

9. Application Development & Data Consumption with ERP HANA

9.1. App Development Basic Concepts

9.1.1. Re-thinking assumptions used for app logic

9.1.1.1. Living in a world without constraints/penalties

9.1.1.2. Assume super-computer capabilities for everything

9.1.1.3. The CRUD dilemma

9.1.2. Development tool kits

9.1.3. Native development or extension

9.1.3.1. Zprograms

9.1.4. Data sources and pre-calculations

9.1.5. New assumptions about data capabilities

9.1.6. HANA artifacts

9.1.7. DBSL

9.1.8. Platform options

9.1.8.1. ABAP, NGAP, etc

9.2. ABAP Apps

9.3. JAVA Apps

9.4. Analytic Apps

9.4.1. Explorer

9.4.2. Dashboards (excelcius)

9.4.3. Microsoft Excel

9.4.4. Crystal Reports

9.4.5. Webi

9.4.6. BOBJ SDK

9.5. Mobile Apps

9.6. Full Text search and text analysis

9.7. Partner Apps

9.8. (Predictive) R & L scripting languages

 

10. ERP HANA Administration, Operations & Security

10.1. ERP HANA Admin Console

10.1.1. Walk thru of views in HANA Studio

10.1.1.1. Different sections

10.1.1.2. Common Admin & Operations Tasks

10.1.1.2.1. Backup Restore

10.1.1.2.2. Monitoring

10.1.1.2.3. Memory allocation

10.1.1.2.4. User Management

10.1.1.2.5. License Key

10.1.1.2.6. Alerting Infrastructure

10.1.1.2.7. Statistics Server

10.1.1.2.8. Performance Tuning

10.2. DBA Cockpit

10.2.1. Backup Scheduling

10.2.2. Solution Manager 7.1 SP4 Integration

10.3. Integration and Monitoring Infrastructure

10.3.1. CCMS alerts

10.3.2. Maintenance Optimization

10.4. Data Archiving

10.4.1. Outside of HANA

10.4.2. Integration with Tivoli, etc.

10.5. Security

10.6. Lifecycle Management

10.6.1. Two kinds

10.6.1.1. Content LCM

10.6.1.2. Software LCM

 

11. ERP HANA Hardware

11.1. Overview of General Hardware Requirements

11.1.1. Intel E7 processors

11.1.1.1. Intel HANA story

11.1.2. SUSE Linux 11 sp1

11.1.3. SSD or Disk backup

11.1.4. T-Shirt Sizing

11.1.5. Validated by ERP

11.1.6. Additional Infrastructure

11.2. Scale Out/Multi-node options

11.3. Official HANA PAM

11.4. Listing and descriptions of all Certified ERP HANA Hardware by Vendor

11.4.1. Overview of HANA solutions provided

11.4.1.1. What's the unique value prop?

11.4.1.2. Product family

11.4.1.3. T-Shirt sizes offered

11.4.1.4. Scale-out offering

11.4.1.5. High Availability

11.4.1.6. Support infrastructure (SAN, etc)

11.4.1.7. Additional software needed

11.4.1.8. Support Services

11.4.2. Additional HANA services

11.4.2.1. Implementation, etc

11.4.3. Customer success stories (short)

11.4.4. Contact information for inquiries

 

12. ERP HANA Projects & Implementation

12.1. Different Use cases (BW vs other use cases)

12.2. Project Scoping and Documentation

12.3. Timelines and Key Activities

12.4. Project Team Members (Skillsets/activities)

12.5. Examples of stellar projects

12.6. ERP RDS packages

12.7. "Top Ten" Advice for HANA Projects

 

13. ERP HANA Resources

13.1. Experience HANA site

13.2. Key Resources for Sample Projects

13.3. ERP Support Organization

13.4. Training and skills resources

13.5. SDN

13.6. Benchmarking databaseCourse Content (Duration : 45 Hrs)

 

Course Goals:

Business Process

How HANA Module work in R/3

Integration with other Modules

 

ERP HANA Contents:

1. ERP HANA Overview & Roadmap (What is ERP HANA?)

1.1. ERP HANA in a Nutshell

1.1.1. Evolution of In Memory computing at ERP

1.1.2. History HANA

1.1.2.1. Early projects

1.1.2.2. 2005 Genesis

1.2. Business Impact of new architecture

1.2.1. Not about IT, it's about running a real-time business

1.2.2. Increasing data volumes

1.2.3. Increasing number of users (mobile)

1.2.4. Need for Flexibility

1.2.4.1. Business needs driving changes in existing systems

1.2.4.1.1. Ad-hoc addition of new requirements

1.2.5. Operational Non-Disruption with a Disruptive Innovation

1.2.6. "Impedance Mismatch"

1.2.6.1. Load performance

1.2.6.2. Query Performance

1.3. In Memory Computing Basics

1.3.1. Faster, Better, Cheaper

1.3.1.1. Risk & Maturity of disk vs. memory dbms

1.3.1.2. Platform for the future

1.3.1.3. IPod example

1.3.1.4. Moore's law

1.3.1.5. What happens when the power goes out?

1.3.2. Cost x GB x Second calculation

1.3.3. Row Store, Column Store, Persistency Layer, Architectural Concept

1.4. ERP HANA Architecture Overview

1.4.1. Engines

1.4.2. Tools

1.4.3. Data Provisioning

1.4.4. Data Modeling

1.5. ERP HANA 1.0 Use Cases

1.5.1. Agile Data Mart

1.5.1.1. HANA in Action stories

1.5.2. ERP Turbo Charging

1.5.2.1. Accelerators

1.5.3. BW on HANA

1.5.4. Application Platform (Apps powered by HANA)

1.5.4.1. ERP Built apps

1.5.4.2. Partner built apps

1.5.4.3. Custom apps (JAVA/ABAP/ETC)

1.6. ERP HANA Roadmap

1.6.1. HANA today

1.6.2. HANA 2.0 (Suite)

 

2. ERP HANA Architecture

2.1. Introduction

2.2. General Architecture Overview

2.3. Hybrid Row & Column store engine

2.3.1. Describe Row store

2.3.2. Describe Column store

2.3.3. Why a hybrid? Best of both worlds

2.3.3.1. Many scenarios need both transactional/metadata and it needs to be calculated/aggregated

2.4. Compression

2.4.1. Optimized for fast access to data

2.4.2. Partial indexing

2.5. Partitioning (memory allocation)

2.6. Delta updates

2.7. Insert Only

2.7.1. Time Traveling

2.8. MDX Engine

2.9. Calculation Engine

2.10. Business Content/Semantic Functions

2.10.1. Business Function Library

2.10.1.1. Currency Conversion

2.10.1.2. Consumable pre-built functions

2.10.2. Predictive Function Libraries

2.11. HANA Studio

2.12. Client Connectivity

2.12.1. Interfaces (ODBC, JDBC, SQL, MDX)

2.13. High Availability

2.13.1. Persistency

2.13.2. Disaster Tolerance

2.14. Multi-tenancy

2.15. HANA Cloud

 

3. ERP HANA Business Cases & ROI Model

3.1. Introduction

3.1.1. Leverage multiple scenarios, not just one specific use case

3.1.2. Focus on things you CAN'T do today

3.1.3. Involve the business up front and along the way, not a typical IT business case

3.1.4. Think big, start small with a quick win to build momentum in business

3.1.4.1. Users will generate many new possibilities once they see something tangible

3.2. Identify Business Scenario

3.2.1. Value Discovery Workshops

3.2.2. Operational

3.2.3. Strategic

3.2.4. Transactional

3.2.5. Analytic

3.3. Building a business case for ERP HANA

3.3.1. The real tools come into play after the real-time business scenario and app have been identified

3.3.2. Map Value Drivers for scenario

3.3.3. Identify KPIS and map to value drivers

3.3.4. Describe Benchmarking Database

3.3.5. Map results of benchmarking to create reference model for scenario improvement

3.4. Build ROI Model

 

4. ERP HANA Applications

4.1. Application Introduction

4.1.1. How are these new apps made possible with HANA

4.2. ERP NetWeaver Business Warehouse on ERP HANA

4.3. ERP Trade Promotion Management

4.4. Sales and Operations Planning

4.5. Business Planning and Consolidation

4.6. Smart meter analytics

4.7. Predictive Text

4.8. Dynamic cash management

4.9. ERP Business Objects Sales Analysis for Retail powered by ERP HANA

4.10. Profitability analysis accelerator for ERP ERP (CO-PA)

4.11. ERP Finance and Controlling Accelerator.

4.12. ERP Sales Pipeline Analysis powered by ERP HANA

 

5. Accelerated ERP Business Suite

5.1. Overview

5.1.1. Philosophy

5.1.1.1. Single Applications

5.1.1.2. Whole Suite

5.1.2. Side car architecture

5.1.3. Table replication

5.1.4. Two options

5.1.5. Write-back scenario

5.2. Current Offering

5.3. Roadmap

 

6. ERP BW on ERP HANA

6.1. Introduction

6.1.1. Why BW on HANA is so freaking cool

6.1.2. 7.30 background

6.2. ERP HANA-specific enhancements

6.2.1. Cubes

6.2.2. DSO

6.2.3. Data Loading

6.2.4. Integrated Planning

6.2.5. Agile Data Modeling

6.2.6. Columnar compression

6.2.7. Landscape Simplification/Lower TCO.

6.3. Implementation

6.3.1. Things to consider

6.3.1.1. Clean up and migrate

6.3.1.2. Migrate as-is

6.3.2. Big Bang

6.3.3. Incremental/Parallel

6.3.4. Prerequisites & Limitations

6.3.5. Scoping/Sizing

6.3.5.1. Source database (size & vendor)

6.3.5.2. Compression rate calculations

6.3.6. Link to outside info or OSS NOTE

6.3.7. Link to Sizing calculator

6.3.8. Landscape Options

6.3.8.1. Things to consider

6.3.8.2. Single-node (2-tier) (dev/prod)

6.3.8.3. Multi-node (3-tier) (dev/qa/prod

6.3.8.3.1. Start with copy of productive system

6.3.8.4. Set up Greenfield position

6.3.9. Near Line Storage w/IQ

6.3.9.1. Hot vs cold data concept

6.3.10. Connect one ERP to 2 BW systems

6.3.10.1. Post copy automation (PCA)

6.4. Database Migration

6.4.1. ERPINST tools for DB export

6.4.2. Exports flat files to temp storage

6.4.3. ERPINST tools for DB import

6.4.4. Import flat files from temp storage to HANA

6.4.5. Unicode conversion is possible as part of process

6.4.6. Key Problems: Production downtime

6.4.7. Performance details (query, data load to info cubes, DSO, remodeling)

6.4.8. Query Performance

6.4.8.1. Simple/Standard

6.4.8.2. Complex/Custom

6.4.8.2.1. Power user granular detail, millions of rows

6.4.9. DSO activation

6.4.10. Data Loading

6.4.10.1. Extract from ERP system activate and load into Cube

6.4.10.2. Large flat file (POS) import into BW (smart meter demo) 6.4.11. Remodeling

6.5. Administration & Operations

6.6. Future Roadmap

 

7. Data Provisioning with ERP HANA

7.1. Introduction to Data Sources

7.1.1. ERP, non-ERP (custom apps or 3rd party apps)

7.1.2. Replication approaches

7.1.2.1. Real time, batch.

7.2. Provisioning & Replication Scenarios

7.2.1. How do you extract data from source system and get it into HANA?

7.2.1.1. What tools are available?

7.2.1.1.1. DS, SLT, DEC,

7.2.1.1.2. When to use which tool

7.2.1.1.3. Semantics and differences

7.2.1.2. What are the steps?

7.2.1.3. Real time or Batch?

7.2.2. ERP real time

7.2.3. ERP batch

7.2.4. Non-ERP real time

7.2.5. Non-ERP batch

7.3. Event Streaming

7.3.1. Sybase ESP to HANA

7.3.2. Event Insight to HANA

7.4. BOBJ Data Services

7.4.1. Supportability Matrix for source system

7.4.2. Complex data scenarios with transformations

7.4.3. Batch ETL tool for non-ERP

7.4.4. Not real time

7.4.5. ODBC connection

7.5. ERP Landscape Transformation (SLT)

7.5.1. Process overview

7.5.2. SLT Plug In listings (supportability matrix)

7.5.3. Real time for ERP and non-ERP

7.5.4. Trigger Based

7.5.5. Fully integrated with HANA studio (screenshot)

7.5.6. Transformation capabilities via R in ABAP

7.6. Direct Extractor Connection (DEC)

7.6.1. NO ETL

7.6.2. Native BW extraction capability to connect to HANA

7.6.3. ICM Framework

 

8. Data Modeling with ERP HANA

8.1. Key Concepts in Data Modeling for HANA

8.1.1. Components of HANA data model

8.1.1.1. Views

8.1.1.1.1. Analytical Views

8.1.1.1.2. Calculation Views

8.1.1.1.3. Attribute Views

8.1.1.2. Tables

8.1.1.3. Measures

8.1.1.4. Filters

8.1.1.5. Dimensions

8.1.2. Common Scenarios

8.1.2.1. Calculations

8.1.2.2. Filtering

8.1.2.3. Aggregations

8.2. ERP HANA Modeling Environment

8.3. ERP HANA Information Composer

8.4. SQL Scripting

 

9. Application Development & Data Consumption with ERP HANA

9.1. App Development Basic Concepts

9.1.1. Re-thinking assumptions used for app logic

9.1.1.1. Living in a world without constraints/penalties

9.1.1.2. Assume super-computer capabilities for everything

9.1.1.3. The CRUD dilemma

9.1.2. Development tool kits

9.1.3. Native development or extension

9.1.3.1. Zprograms

9.1.4. Data sources and pre-calculations

9.1.5. New assumptions about data capabilities

9.1.6. HANA artifacts

9.1.7. DBSL

9.1.8. Platform options

9.1.8.1. ABAP, NGAP, etc

9.2. ABAP Apps

9.3. JAVA Apps

9.4. Analytic Apps

9.4.1. Explorer

9.4.2. Dashboards (excelcius)

9.4.3. Microsoft Excel

9.4.4. Crystal Reports

9.4.5. Webi

9.4.6. BOBJ SDK

9.5. Mobile Apps

9.6. Full Text search and text analysis

9.7. Partner Apps

9.8. (Predictive) R & L scripting languages

 

10. ERP HANA Administration, Operations & Security

10.1. ERP HANA Admin Console

10.1.1. Walk thru of views in HANA Studio

10.1.1.1. Different sections

10.1.1.2. Common Admin & Operations Tasks

10.1.1.2.1. Backup Restore

10.1.1.2.2. Monitoring

10.1.1.2.3. Memory allocation

10.1.1.2.4. User Management

10.1.1.2.5. License Key

10.1.1.2.6. Alerting Infrastructure

10.1.1.2.7. Statistics Server

10.1.1.2.8. Performance Tuning

10.2. DBA Cockpit

10.2.1. Backup Scheduling

10.2.2. Solution Manager 7.1 SP4 Integration

10.3. Integration and Monitoring Infrastructure

10.3.1. CCMS alerts

10.3.2. Maintenance Optimization

10.4. Data Archiving

10.4.1. Outside of HANA

10.4.2. Integration with Tivoli, etc.

10.5. Security

10.6. Lifecycle Management

10.6.1. Two kinds

10.6.1.1. Content LCM

10.6.1.2. Software LCM

 

11. ERP HANA Hardware

11.1. Overview of General Hardware Requirements

11.1.1. Intel E7 processors

11.1.1.1. Intel HANA story

11.1.2. SUSE Linux 11 sp1

11.1.3. SSD or Disk backup

11.1.4. T-Shirt Sizing

11.1.5. Validated by ERP

11.1.6. Additional Infrastructure

11.2. Scale Out/Multi-node options

11.3. Official HANA PAM

11.4. Listing and descriptions of all Certified ERP HANA Hardware by Vendor

11.4.1. Overview of HANA solutions provided

11.4.1.1. What's the unique value prop?

11.4.1.2. Product family

11.4.1.3. T-Shirt sizes offered

11.4.1.4. Scale-out offering

11.4.1.5. High Availability

11.4.1.6. Support infrastructure (SAN, etc)

11.4.1.7. Additional software needed

11.4.1.8. Support Services

11.4.2. Additional HANA services

11.4.2.1. Implementation, etc

11.4.3. Customer success stories (short)

11.4.4. Contact information for inquiries

 

12. ERP HANA Projects & Implementation

12.1. Different Use cases (BW vs other use cases)

12.2. Project Scoping and Documentation

12.3. Timelines and Key Activities

12.4. Project Team Members (Skillsets/activities)

12.5. Examples of stellar projects

12.6. ERP RDS packages

12.7. "Top Ten" Advice for HANA Projects

 

13. ERP HANA Resources

13.1. Experience HANA site

13.2. Key Resources for Sample Projects

13.3. ERP Support Organization

13.4. Training and skills resources

13.5. SDN

13.6. Benchmarking database

FAQS

Frequenty Asked Questions

TESTIMONIALS

Training Experiences with Us