Session 4: The HANA Curriculum and Demos

Session 4: The HANA Curriculum and Demos

Dr. Bjarne BergAssociate professor Computer Science

Lenoir-Rhyne University

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Introduction

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This last session is more technical as we explore what ETL options HANA has, what applications exists and review some core exercises students in the SAP University Alliance completes as part of their curriculum.

We also see demos of BO Explorer on SAP HANA and a demo of the new BusinessObjects BI 4.1 tool suite and integrated BI environment on-top of HANA

We end with an overview of where you can get more information about HANA and have a quick round with questions and answers.

Session Agenda

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• Introduction• HANA Overview• SAP University Alliance: Student Exercise and Demo: BO

Explorer on HANA• Overview of Extract, Transform and Load (ETL) into HANA • SAP University Alliance: Student Exercise – Step-by-Step• Demo: BI 4.1 (new) on HANA• Where to Find More Information• Questions and Answers

HANA – The Detailed Architecture

Modeling in SAP HANA

HANA Applications Overview and Discussion

Views in SAP HANA

• Attribute views Represent master data (attributes,

texts, hierarchies) Provide reusable dimensions

for analytic and calculation views

• Analytic views Join facts with relevant attribute

dimensions

• Calculation views Address more complex

requirements than analytic views Can include both tables and views

Session Agenda

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• Introduction• HANA Overview• SAP University Alliance: Student Exercise and Demo:

BO Explorer on HANA• Overview of Extract, Transform and Load (ETL) into HANA • SAP University Alliance: Student Exercise – Step-by-Step• Demo: BI 4.1 (new) on HANA• Where to Find More Information• Questions and Answers

Exercise #1 Using SAP HANA and BO Explorer

1. In this first exercise, the students access SAP HANA through an Information Space

Some of the Different BusinessObjects BI tools that can access HANA

BO Explorer on SAP HANA

BO Explorer on HANA Demo

Session Agenda

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Data Provisioning

Trigger Based Replication

• SAP LT Replication Server Trigger-based concept that only considers the tables relevant

for data replication Allows real-time (and scheduled) data replication from SAP

ERP Systems and non-SAP systems (SAP supported databases only) into HANA

Based on the SLO (System Landscape Optimization) technology

Source SystemSAP LT

Replication Server SAP HANA

RFCconnection

DBconnection

ETL Based replication with DataServices

DataServices – The work environment

Data flows Vs. Workflows

• Data flows Extract, transform and load data (ETL

process) Determines the flow of data – from the

source to the target Similar to SAP BW transformations with

data source and data target

• Workflows Optional objects Organize data flows Define the decision-making process to

execute data flows and organizes data flows

Similar to SAP BW process chains for automation of complex schedules

Source Target

Definitions and Metadata

• Datastores: Provide the logical connection to a database (must be

specified for each source and target database) Are used to import metadata for source and target databases Are used to read data from source tables and load data to

target tables• Metadata includes:

Database tables: Table name, Column names, Column data types, Primary key columns, Table attributes

RDBMS functions Application-specific data structures

• Connection metadata is defined in the object library as Datastores (for tables) and file formats (for flat files)

Importing Metadata from HANA

• Import the metadata of the database tables (e.g. master data and transaction data tables), which should be populated at the end of the ETL process

• Examples: Customer attributes table (master data) Sales data table (transaction data)

Import datastoretables

Name Key Data type Length (Dim)

CUSTOMER_NUMBER

X VARCHAR 10

CUSTOMER_NAME

VARCHAR 20

CITY VARCHAR 35VALID_TO X DATEVALID_FROM DATESALES_ORGANIZATION

VARCHAR 4

COUNTRY VARCHAR 2

Table‘smetadata

Creating a Dataflow

Query mapping and transformations

• The query transform enables you to select data from a source, filter or reformat the data and move it to the target

• You need to create a relationship between the input and output schemas for the data to move from the source to the target

BW ETL Vs. DataServices ETL with HANA

Session Agenda

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Student Case Study Example

1. In this HANA case study, the students load data to SAP HANA

2. Then they create attribute and analytical views

3. Finally, they deploy it to BO Explorer

Creating a new Datastores in BOBJ DataServices

Importing table definition

Result

Linking to Flat file

Defining flat file

Result

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Student’s do the same for Products and sales flat files

Creating a Project and adding Dataflow

Linking to flat file and make it a source

Mapping flat file Source to Target table in HANA

Executing the job and Monitoring Progress

Result inside HANA viewed using HANA Studio

Creating an Attribute View

Adding table joins to more Customer Information

Applying a Filter to an Attribute View

Deciding what Users Should See and assign Key Attribute

Validate and Activate a View

Creating an Analytical View

Data Foundations and Logical Joins

Adding a Calculated Field to an Analytical View

Multi-Currency Handling

The Resulting Analytical View

Deploying Analytical View in BO Explorer

Building an Information Space

The Result in BO Explorer

Session Agenda

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BOBJ BI 4.1 (new release) on HANA Demo

Session Agenda

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Good Sources for Getting up-to-speed – SAPHana.com

Good Sources for Getting up-to-speed: experienceHana.com

Good Sources for Getting up-to-speed: InsiderLeaningNetwork.com

Good Sources for Getting up-to-speed: scn.sap.com/community/developer-center/hana

Good Sources for Getting up-to-speed: SAP HANA Book on Amazon

Good Sources for Getting up-to-speed: SAP University Alliances

Questions and Answers

Dr. [email protected]

Documents

Session 4: The HANA Curriculum and Demos