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Session 4: The HANA Curriculum and Demos Dr. Bjarne Berg Associate professor Computer Science Lenoir-Rhyne University.

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Presentation on theme: "Session 4: The HANA Curriculum and Demos Dr. Bjarne Berg Associate professor Computer Science Lenoir-Rhyne University."— Presentation transcript:

1 Session 4: The HANA Curriculum and Demos Dr. Bjarne Berg Associate professor Computer Science Lenoir-Rhyne University

2 Introduction 2 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.

3 Session Agenda 3 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

4 HANA – The Detailed Architecture

5 Modeling in SAP HANA

6 HANA Applications Overview and Discussion

7 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

8 Session Agenda 8 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

9 Exercise #1 Using SAP HANA and BO Explorer 1. In this first exercise, the students access SAP HANA through an Information Space

10 Some of the Different BusinessObjects BI tools that can access HANA

11 BO Explorer on SAP HANA

12 BO Explorer on HANA Demo

13 Session Agenda 13 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

14 Data Provisioning

15 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 System SAP LT Replication Server SAP HANA RFC connection DB connection

16 ETL Based replication with DataServices

17 DataServices – The work environment

18 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 SourceTarget

19 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)

20 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 datastore tables NameKeyData type Length (Dim) CUSTOMER_N UMBER XVARCHAR10 CUSTOMER_N AME VARCHAR20 CITYVARCHAR35 VALID_TOXDATE VALID_FROMDATE SALES_ORGA NIZATION VARCHAR4 COUNTRYVARCHAR2 Table‘s metadata

21 Creating a Dataflow

22 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

23 BW ETL Vs. DataServices ETL with HANA

24 Session Agenda 24 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

25 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

26 Creating a new Datastores in BOBJ DataServices

27 Importing table definition

28 Result

29 Linking to Flat file

30 Defining flat file

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

32 Creating a Project and adding Dataflow

33 Linking to flat file and make it a source

34 Mapping flat file Source to Target table in HANA

35 Executing the job and Monitoring Progress

36 Result inside HANA viewed using HANA Studio

37 Creating an Attribute View

38 Adding table joins to more Customer Information

39 Applying a Filter to an Attribute View

40 Deciding what Users Should See and assign Key Attribute

41 Validate and Activate a View

42 Creating an Analytical View

43 Data Foundations and Logical Joins

44 Adding a Calculated Field to an Analytical View

45 Multi-Currency Handling

46 The Resulting Analytical View

47 Deploying Analytical View in BO Explorer

48 Building an Information Space

49 The Result in BO Explorer

50 Session Agenda 50 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

51 BOBJ BI 4.1 (new release) on HANA Demo

52 Session Agenda 52 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

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

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

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

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

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

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

59 Questions and Answers Dr. Berg Bergb@lr.edu


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