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Course 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



 

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