SAP BW/BI 7.5 on Hana

SAP BW/BI 7.5 ON HANA

 

Unit 1: Getting Started

 

Lesson: Getting Started with our Training Environment

Lesson: Describing SAP HANA Basics

Exercise 1: Set Up SAP HANA Studio

Lesson: Getting Started with SAP BW

Exercise 2: Log On to SAP BW

Exercise 3: Use the Delta Merge in SAP BW

Lesson: Explaining SAP BW Modeling Tools in SAP HANA Studio

Exercise 4: Set Up BW Modeling Tools

Lesson: Explaining SAP HANA Modeling

Exercise 5: Create SAP HANA Information Views

Lesson: Understanding SAP HANA Live

Exercise 6: Work with the SAP HANA Live Browser

Lesson: Describing SAP S/4HANA Analytics

Unit 2:

Migration to BW on HANA

Lesson: Describing Migration Strategies and Tools

Lesson: Explaining the SAP BW Migration Cockpit

Unit 3:

BW on HANA Data Management

Lesson: Describing Multi-Temperature Data Management

Lesson: Optimizing SAP BW Data Management (Warm Data)

Exercise 7: Implement the Active/Non-Active Data Concept

Lesson: Optimizing SAP BW Data Management (Cold Data)

Exercise 8: Work with SAP BW Near-Line Storage

Unit 4: Optimization Areas in BW on HANA

Lesson: Describing Optimization Areas in SAP BW on SAP HANA

Lesson: Understanding SAP HANA-Optimized Data Modeling: InfoCubes

Exercise 9: Get Acquainted with HANA-Optimized InfoCubes

Lesson: Explaining SAP HANA-Optimized Data Modeling: Advanced DataStore-Objects

Exercise 10: Model Advanced DataStore-Objects

Lesson: Explaining SAP HANA-Optimized Data Modeling: CompositeProviders

Exercise 11: Model Composite Providers

Lesson: Explaining SAP HANA-Optimized InfoObjects

Exercise 12: Define a new InfoObject

Lesson: Explaining SAP HANA-Optimized Data Staging

Exercise 13: Work with HANA-Optimized Transformation Rules

Lesson: Describing the SAP HANA-Optimized Analytic Manager

Exercise 14: Get Acquainted with the Analytic Manager

Lesson: Introducing HANA-Optimized Analysis Processes

Exercise 15: Create a HANA Analysis Process (HAP)

 

Unit 5: Modeling with SAP’s Reference Architecture LSA++

 

Lesson: Explaining the Layered Scalable Architecture (LSA)

Lesson: Explaining the Move from LSA to LSA++: Streamlining Core Layers

Lesson: LSA++: Introducing the Open Operational Data Store Layer

Exercise 16: Create an Open ODS View on HANA Table

Exercise 17: Create an Open ODS View on Remote Data

Exercise 18: Create an Open ODS View with Association to another one

Exercise 19: Create an Open ODS View referring to InfoObjects

Exercise 20: Create an Open ODS View on BW Transformation Rule

Exercise 21: Create an Open ODS View on Advanced DataStore- Object

Lesson: LSA++: Introducing the SAP BW Workspace Layer

Exercise 22: Create a SAP BW Workspace

Exercise 23: Upload new Local Data into BW Workspace with MS Excel-lntegration

Exercise 24: Define a SAP BW Workspace Query with new Local Data

Exercise 25: Merge new local Data individually

 

Unit 6: Hybrid Modeling in Mixed Scenarios

Lesson: Generating External SAP HANA Views for SAP BW InfoProviders

Exercise 26: Create External SAP HANA Views

Lesson: Describing Mixed Scenarios

Exercise 27: Implement a Mixed Scenario

Lesson: Explaining SAP HANA-Optimized SAP Bl Content

 

Unit 7: Data Provisioning into SAP HANA and SAP BW

Lesson: Explaining Data Provisioning into SAP HANA

Exercise 28: Upload a Flat File to SAP HANA

Lesson: Describing SAP HANA Smart Data Integration Lesson: Explaining SLT Replication into SAP HANA

Exercise 29: Maintain SAP LT Replication into SAP HANA

Lesson: Explaining SLT Replication into SAP BW

Lesson: Explaining Operational Data Provisioning into SAP BW

Exercise 30: Work with ODP to SAP BW type SLT

Exercise 31: Work with ODP type SAP Extractors

Exercise 32: Work with ODP type HANA Information Views

Lesson: Explaining DB Connect and Open Hub Destination

Exercise 33: Load Data based on DB-Connect

 

Unit 8: Summary & Outlook

Lesson: Describing New Transactions and Authorizations

Lesson: Looking into the Future: SAP HANA Data Warehouse

**Please contact below undersigned for further Discussions.. Course fee, Batch Time lines, Server Access Time lines Etc

Thanks & Best Regards,

Kalyan D.

kalyan@techEtraining.com,

bolokalyan@gmail.com,

USA Desk  : +1-201 – 478 – 8484  (24 x 7)

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