Hana To Go Presentation Final With Demo Screen Shots Nov8

SAP Hana Technical Workshop
High Performance Analytics
October 6, 2011

© 2011 SAP AG. All rights reserved. 4Confidential
AGENDA
 HANA Overview & Roadmap
 HANA Architecture
 Introduction to SAP HANA Studio
 Loading Data into HANA
 Start hands on workshop
• Modeling Data – Attribute Views
• Modeling Data – Analytic Views
• Viewing Results – SAP Business Objects Clients
• Advanced Information Models
 Wrap Up – Q & A
LUNCH IS SCHEDULED FOR 11:30

6
SAP in-memory innovations make
the “New Way” a reality
In-Memory
Row
+
Column
Database
Massively
Parallel
Processing
Calculation
Engine
Columnar storage increases the
amount of data that can be
stored in limited memory
(compared to disk)
Column databases enable
easier parallelization of
queries
Row database fast
transactional processing
In-memory processing
gives more time for
relatively slow updates
to column data
In-memory allows
sophisticated calculations
in real-time
MPP optimized software enables
linear performance scaling
making sophisticated calculations
like allocations possible

8
Enabling IT Agility
How Fast Can IT React on Change? – Empower Business People
How can In-Memory help?
 In-Database Analytics
 No aggregates
 No MOLAP cubes
 External hierarchies
 No re-alignment runs
 Virtual structures only
 Stable performance
traditional change management process

SAP HANA Proof-Points
Enabling Business Agility

10
In-Memory Analytics
SAP HANA real-time operational
analytics
Complete BI Suite with BI 4 runs
on SAP HANA
Begin delivery of Baseline
Reporting packages
One Store for Data and
Analytics
SAP HANA only persistence layer
for SAP Business Suite
SAP Business Suite optimized for in-
memory computing
Flexible real time analysis of
operations at non-aggregated
level
Real-Time operational planning
and simulation capabilities:
link to execution
Primary persistence and
optimized for SAP BW
Reduced landscape complexity
Value chain transformation
CapabilitiesBenefits
Next-gen Applications
SAP BW fully running on SAP HANA
SAP HANA platform for in-memory apps
■ Industry and LOB Analytic Apps
■ Other purpose built apps
Further optimization of BI 4 Suite for SAP
HANA
SAP Business Suite begins move to SAP
HANA
SAP HANA
1.0 sp3
Vision
Longer-Term
SAP HANA Development Roadmap
Product Strategy and Plan
SAP HANA 1.0
Dec 2010
SAP HANA
1.0 sp1, July 2011
sp2
General
Availability
RTC
(Ramp-up)

11
Just Some of the New HANA-Enabled
Applications for 2011
SAP Cash and Liquidity Management: Allows companies to predict inbound and
outbound cash flows and risk management.
Sales and Operations Planning: This application will enable sales and marketing
departments to collaborate with operations and finance in order to evaluate the
impact of their strategies and make accurate predictions.
Intelligent Payment Broker: This application will calculate financing options on
open invoices and will help determine which discounting terms should be offered on
which invoices.
Smart Meter Analytics: The software for intelligent electricity meters: With this
application utility companies can analyze smart meter readings to forecast demand
and develop new products.
SAP Trade Promotion Management : Improves the planning process and helps
develop accurate strategies for particular customers.

12
SAP
CRM Rapid
Deployment
Solution
SAP ERP rapid-deployment solution for operational
reporting with SAP HANA™ software
Business Models and Reports included:
 Financial Reporting
 Sales Reporting
 Procurement Reporting
 Shipping Reporting
 Master Data Reporting
Solution to provide compelling SAP ERP operational analytics quickly and affordably
Description
An essential reporting software with fixed scope, predefined
services at a predictable price with the flexibility for future
extension. It provides a set of reports from the business area
of sales, financial, shipping, procurement, and master data.
Current situation
Reactive business model and lack of business transparency
due to sub-optimal execution speed of the current ERP
operational reporting solution
Value proposition
Provide flexible real time analytics, improve business
performance, strengthen competitive advantage, provide
quick wins for business.
Outcome opportunity
Sales people’s efficiency is increased, plans are more
accurate and reporting is more timely.

In-Memory Computing Engine
Admin and Data Modeling
Real–Time Replication Services
Data Integration Services
In-Memory
Row/Column
Data Store
Calculation
and Planning
Engine
SAP NetWeaver
BW
3rd Party
SAP
Business Suite
Custom
Applications
SAP
BusinessObjects
MDX SQL Optimized
Data Management Service
SAP HANA – Complete Solution
Preconfigured Analytical
Appliance
■ In-Memory software + hardware
(Cisco, Dell, HP, IBM, Hitachi and Fujitsu)
Software
■ Data Modeling and Data Management
■ Real-time Data replication for SAP ECC
■ Data Integration for 3rd Party Systems
Capabilities Enabled
■ Analyze information in real-time at
unprecedented speeds on large volumes of
non-aggregated data
■ Create flexible analytic models based on
real-time and historic business data
■ Foundation for new category of
applications (e.g., planning, simulation) to
significantly outperform current applications
in category
■ Minimizes data duplication

Architecture Overview
In-Memory Computing Engine and Surroundings
Clients (planned, e.g.) BI4 Explorer
Dashboard
Design
SAP BI4 universes
(WebI,...)
Request Processing / Execution Control
MS Excel
BI4 Analysis
SQL Parser MDX
SQL Script Calc Engine
Transaction
Manager
Session Management
Relational Engines
Row Store Column Store
Persistence LayerPage Management Logger
Disk Storage
Log VolumesData Volumes
Authorization
Manager
Metadata
Manager
In-Memory Computing Studio
Administration Modeling
ERP
ERP DB
System
Landscape
Transformation
SLT
SAP Business Objects BI4
Data
Services
Designer
SBO BI4
servers
( program
for client)
SBO BI4
Information
Design Tool
Other Source Systems
SAP
NetWeaver
BW
3rd Party
Data
Services

In-Memory Computing Engine and Surroundings
ERP
ERP DB
Dashboard
Design
SAP BI4 universes
(WebI,...)
MS Excel
BI4 Analysis
SQL Parser MDX
Transaction
Manager
Session Management
Relational Engines
Disk Storage
Authorization
Manager
Metadata
Manager
System
Landscape
Transformation
SLT
SAP Business Objects BI4
Data
Services
Designer
SBO BI4
servers
( program
for client)
SBO BI4
Information
Design Tool
SAP
NetWeaver
BW
3rd Party
Data
Services
SQL Parser MDX
Transaction
Manager
Session Management
Relational Engines
Disk Storage
Authorization
Manager
Metadata
Manager
SLT

ERP
ERP DB
System
Landscape
Transformation
Loading Data into SAP HANA
SQL Parser MDX
Transaction
Manager
Session Management
Relational Engines
Disk Storage
Authorization
Manager
Metadata
Manager
SLT
Business Objects Enterprise
Data
Services
Designer
SBO BI4
servers
( program
for client)
SBO
Information
Design Tool
SAP
NetWeaver
BW
3rd Party
Data
Services
Dashboard
Design
SAP BI4 universes
(WebI,...)
MS Excel
BI4 Analysis

Data Modeling
SQL Parser MDX
Transaction
Manager
Session Management
Relational Engines
Disk Storage
Authorization
Manager
Metadata
Manager
SLT
Data
Services
Designer
SBO BI4
servers
( program
for client)
SBO
Information
Design Tool
SAP
NetWeaver
BW
3rd Party
Data
Services
Dashboard
Design
SAP BI4 universes
(WebI,...)
MS Excel
BI4 Analysis
ERP
ERP DB
System
Landscape
Transformation

Clients (planned, e.g.)
Reporting
SQL Parser MDX
Transaction
Manager
Session Management
Relational Engines
Disk Storage
Authorization
Manager
Metadata
Manager
SLT
Data
Services
Designer
SBO BI4
servers
( program
for client)
SBO
Information
Design Tool
SAP
NetWeaver
BW
3rd Party
Data
Services
BI4 Explorer
Dashboard
Design
SAP BI4 universes
(WebI,...)
MS Excel
BI4 Analysis
ERP
ERP DB
System
Landscape
Transformation

Administration
SQL Parser MDX
Transaction
Manager
Session Management
Relational Engines
Disk Storage
Authorization
Manager
Metadata
Manager
SLT
Data
Services
Designer
SBO BI4
servers
( program
for client)
SBO
Information
Design Tool
SAP
NetWeaver
BW
3rd Party
Data
Services
Dashboard
Design
SAP BI4 universes
(WebI,...)
MS Excel
BI4 Analysis
ERP
ERP DB
System
Landscape
Transformation

HANA Modeling Process Flow
Import
Source
System
metadata
•Physical tables are
created
dynamically (1:1
schema definition
of source system
tables)
Provision
Data
•Physical tables are
loaded with content.
Create
Information
Models
•Database Views are
created
•Attribute Views
•Analytic Views
•Calculation Views
Deploy
•Column
views are
created and
activated
Consume
•Consume with
choice of client
tools
•BICS, SQL,
MDX

HANA Information Models
Attribute Views – Think Master data or single
dimension view of data
Analytic Views – Think data cube or Star Schema
model / merged facts and dimension table
Calculation View – Think extended functionality or
complex calculation capabilities.

Introduction to SAP HANA Studio

Framework for Modeling within HANA
Analyze Data in
Hana
Information
in single
table
Base Tables Only Joins
and
calculated
expressions
no
Access Base
Tables/ Attr
Views
yes
Use Attribute
Views
Star
Schema or
Aggregation
no
yes
Use Analytic
Views
yes
Try
Graphical
Calc View
not enough
Use
Graphical
Calc Views
yes
Use Scripted
Calc Views
not enough
Attribute views
Analytic Views
Calc Views

Welcome to the SAP HANA Studio
Starting the Modeling Environment
• Find the Modeler short cut on the desktop
and double click to open it.

Information Modeler – SAP HANA Studio
Tour of the UI:
• Based on Eclipse
• Consistent with other
SAP Modeling/Developer
tools
• Navigation
• Perspectives
• Information Panel

Check System Status
It is possible to check
the status of the
HANA system from
the Modeler
• Select the IM2
system
• Click on the
Wrench

Check System Status
From the Status
Window Navigate the
tabs
• Landscape
• Alerts
• Performance
• Load

Navigating HANA
The Navigator view is the main
way to access content in the
HANA system.
Top level nodes are System
Instances.
Each instance contains:
 Catalog
 Authorizations/Security
 Schemas/Data Tables
 Content
 Virtual Information Models
Instance
Security
Schemas/Data
Information
Models

Navigating HANA
Schemas provide a way
to organize and work
with the assets in your
database.
Here we can view and
modify the various
objects that are part of a
schema
For example, you can
look at the Definition of
a Table by Right clicking
on the Table name and
selecting Open
Definition.

Navigating HANA
While in the Definition
view of the Table, you
can see:
• Names, data types, etc. of
the Table
• Indexes defined for the
Table
• Runtime Information
• Shows Table type (Column
or Row Store)
• Main/Delta Size

Navigating HANA
Other actions that
are available on a
Table include:
•Open Content
• Displays the Top
1000 records

Navigating HANA
Other actions that
are available on a
Table include:
•Open Content
• Displays the Top
1000 records
• Open Data
Preview
• Displays data in
table form
• Allows for basic
profiling of the
data.

Navigating HANA
Other actions that are
available on a Table
include:
•Open Content
• Displays the Top 1000
records
• Open Data Preview
• Displays data in table
form
• Allows for basic profiling
of the data.
• Generate SQL
• Insert Statement
• Select Statement
• Visual SQL
• Use Table as Template

Navigating HANA
A SQL Editor is
available for free
hand SQL

Navigating HANA
Information Models are organized
under the Content folder in the
Navigator view.
Create/Modify/View
• Attribute Views
• Analytic Views
• Calculations Views
• Analytic Privileges
• Procedures

Navigating HANA
Select Data Preview for the Analytic View ORDER_WAREHOUSE
Interact with the virtual views directly in the HANA Modeler

Populating HANA with Data
Currently there are three primary ways for transporting data in to HANA:
• Direct import from within HANA
• System Landscape Transformation (SLT)
• Move data directly from ECC to HANA
• Supports near real-time replication from ECC
• SAP BusinessObjects Data Services
 Can be used on a broad array of data source including SAP ECC and SAP BW.
 Can source directly from SAP BW extractors
 Can support transformation logic in the data flow

SAP BusinessObjects DataServices
Extractor Support
Use extractors in a data flow like a
regular source

LT Replication Concept: Trigger-Based Approach
Configuration of LT Replication Server
RFC Connection
Table space (optional)
Replication mode
Connection to HANA
Number of jobs
A schema defines the configuration of
the data replication for a source system

Loading Data into HANA
In the following section we will load data into HANA using SAP
BusinessObjects Data Services. We will perform the following steps:
1. Prepare the HANA system for the load
2. Perform the load from SAP Business Objects Data Services
3. Verify that the data was loaded correctly

The Data Model
For our Exercise we are using the TPC-H database.
The data was generated with the publicly available utility used to generate
data for this benchmark. The default data set was generated with roughly 6
million records in the main fact table.

Preparing to Load Data
• Navigate to the
ORDERS table in the
HANA_TPCH Schema.
• Right clink on the
ORDERS table and
select
“Generate”/”Select
Statement”

Execute the SQL statement generated.

Switch back to the SQL tab and change the SQL statement to the one belwo
and execute the statement. There should br 1.5 million records in the table.

Prepare to Load Data
Delete the data in the table.
Input the SQL below and execute it.

Load Data
Start the SAP BusinessObjects Data
Services client ( in a production system this
would be an automated process).

Load Data
Log into the SAP BusinessObjectes
Data Services Client:
• User name: dsuser
• Password: abc123
• Select the “Log On” button
• Select the “Local Repo” Repository
• Select the “OK” button

Load Data
Data Services Designer.

Load Data
Open the “TPCH_Data_Load”
project by double clicking on
the folder in the lower left of
the UI.

Load Data
Expand the TPCH_Job_Runner node until it looks like this.

Load Data
Double Click on the Query Icon to see the data mappings from input table to
HANA table.

Load Data
• Right click on the
“TPCH_Job_Runner”
node in the Project Area
panel and select
“Execute…”
• You will be prompted to
“Save all changes and
execute”. Select the
“Yes” button.

Load Data
• You will see an “Execution
Properties Dialog.
• Do not alter the default
values and select the “OK”
button.

Load Data
• Select the “Monitor” button in the top of the main window dialog to watch
the data load into HANA.
• 1,500,000 million rows should load in just under a minute.
• You can now Exit SAP Business Objects Data Services and return the the
SAP HANA Studio.

Verify the Data
From the SAP HANA Studio Return to your SQL window and execute the
command below.

Modeling Data – Attribute Views

The Data Model
For our Exercise we are using the TPC-H database.
The data was generated with the publicly available utility used to generate
data for this benchmark. The default data set was generated with roughly 6
million records in the main fact table.

Analyze Data in
Hana
Information
in single
table
and
calculated
expressions
no
Access Base
Tables/ Attr
Views
yes
Use Attribute
Views
Star
Schema or
Aggregation
no
yes
Use Analytic
Views
yes
Try
Graphical
Calc View
not enough
Use
Graphical
Calc Views
yes
Use Scripted
Calc Views
not enough
Attribute views
Analytic Views
Calc Views

Modeling Data – Analytic Views

Analyze Data in
Hana
Information
in single
table
and
calculated
expressions
no
Access Base
Tables/ Attr
Views
yes
Use Attribute
Views
Star
Schema or
Aggregation
no
yes
Use Analytic
Views
yes
Try
Graphical
Calc View
not enough
Use
Graphical
Calc Views
yes
Use Scripted
Calc Views
not enough
Attribute views
Analytic Views
Calc Views

Viewing Results
• SAP BusinessObjects Explorer
• SAP BusinessObjects Web Intelligence

More Complex Information Models

Analyze Data in
Hana
Information
in single
table
and
calculated
expressions
no
Access Base
Tables/ Attr
Views
yes
Use Attribute
Views
Star
Schema or
Aggregation
no
yes
Use Analytic
Views
yes
Try
Graphical
Calc View
not enough
Use
Graphical
Calc Views
yes
Use Scripted
Calc Views
not enough
Attribute views
Analytic Views
Calc Views

Calculation View
Graphical
JOINUNION
 No SQL coding required
 Union, Join, Projection nodes provided
 Join Column Tables (Analytical Views)

Calculation View
SQLScript (Script-based)
 SQL or SQLScript required to create Script based Calculation Views
 Write SQL Select statements against existing raw tables or Column Stores
(preferred)
 Define output structure, activation creates column store based on Script
Output

Creating a Calculation View
Graphical
A new Analytic View
was created
(Customer_Order) to
support this exercise.
This Analytic View
combines the Order
Fact table with the
Customer Attribute
View. Two
Calculated Attributes
were created to
capture Year and
Month.

Graphical
This is the completed
Calculation View that we
will be creating.
The goal of this Calc View
is to Union the Current
Year and Prior Year Sales
together along with some
desired Attributes.
The new Customer_Order
Analytic View is the
source for this Calc View.
In the Projection you
specify the Attributes and
Measures you want to
include from the Analytic
Views, as well as two
calculated columns.
Each Projection will also
filter the data for a specific
Year.

Graphical
A Union is configured to
define the mapping to
combine the 2 datasets.
Lastly the Output dataset
is defined.

Graphical
Calc View Creation
 Right click on the
Calculation View Folder
and select New =>
Calculation View
 Provide a Name and
Description
 Leave the View Type as
Graphical as click “Next”

Graphical
Calc View Creation
 The next dialog window
allows you to choose
tables, but we’re going
to use an Analytic View
so just click “Next”
 Expand the Analytic
Views Folder, Add
Customer_Order, and
Click “Finish”

Graphical
Calc View Creation
The Initial View is defined with
the “Customer_Orders”
Analytic View and the Output
component.
 Add a “Projection”
Component
 Link the Customer_Order AV
with the Projection
Component
 Select the Projection
Component and add the
desired fields to the Output
(R_NAME,
N_NAME,C_MKTSEGMENT,
C_NAME, O_YEAR,
O_MONTH,
O_TOTALPRICE)
 Apply a Filter to the O_YEAR
so that Year = 1998 (Most
recent year in this dataset is
1998)

Graphical
Calc View Creation
 Create a Calculated Column
for Current Year (The
Expression is just the
O_TOTALPRICE field
because the filter returns the
current year)
 Create a Calculated Column
for the PriorYear with the
Expression defined as 0. We
need this field so that the
Union will function properly
(All Queries in a Union need
the same number of fields.)

Graphical
Calc View Creation
The Prior Year dataflow needs to be
added to the Calculation View.
 Drag the CUSTOMER_ORDER
Analytic View onto the pallet
 Add a “Projection” Component
 Link the Customer_Order AV with
the Projection Component
 Select the Projection Component
and add the desired fields to the
Output
 Apply a Filter to the O_YEAR so
that Year = 1997
 Create a Calculated Column for
Current Year (The Expression is 0)
 Create a Calculated Column for the
PriorYear with the Expression
defined as O_TOTALPRICE.
 NOTE: The Output fields and the
Calculated Columns for the Prior
Year Projection must be in the
same order as the Current Year
Projection.

Graphical
Calc View Creation
The next step is to “Union” the two
Projections together.
 Add a Union component
 Add links from the two Projections
to the Union component.
 Select the Union component and
add the desired fields from the first
Projection to the Target panel (all
fields with the exception of
O_YEAR and O_TOTALPRICE)
 Map the fields from the second
Projection to the appropriate Target
field.

Graphical
Calc View Creation
The next step is to link the Union
component to the Output Component
and specify the Output fields.
 Add a link from the Union
component to the Output
component.
 Add the Attribute fields. Select the
Output component and add the
desired fields as Attributes
 Add the Measure fields using the
same process.
 Save the Calc View
 Activate the Calc View
 Preview the Data

Calculation View
Script
Calc View
This Calc View
accomplishes the same
thing but is defined using
the Script technique
instead of the Graphical
approach.

SQLScript / R / BFL (Business Function Library)
Three ways to implement in-memory data mining and statistical analysis
SQLScript
 SQLScript is a set of SQL extensions which allow developers to push data-
intensive logic into the database in order to avoid massive data copies to the
application server and to leverage sophisticated parallel execution strategies of
the database.
R
 Through the R integration solution, developers can leverage open source R’s
3000+ external packages to perform wide-range data mining and statistical
analysis.
BFL (Business Function Library)
 BFL is the calculation library for the applications built on top of the SAP HANA
database. The business functions are written in C++ and executed in database
calculation engine. BFL has a roadmap for data mining and statistical algorithms.

SQLScript
 The set of SQL extensions for the SAP HANA database which allow
developers to push data intensive logic into the database is called
SQLScript.
 These extensions are keys to avoiding massive data copies to the
application server and to leverage sophisticated parallel execution strategies
of the database.
 SQLScript V2 supports stored procedures, which provides enhanced control
flow capabilities and is positioned to be more suitable for pushing complex
parts of application logic to the database.
 It can meet some simple requirement for reporting, like join, aggregation, etc.
When it comes to data mining and statistic analysis, SQLScript is not
suitable for implementing complex algorithms.

Calculation View (Scripting)
 Calculation View
 Define Table Output Structure
 Write SQL Statement.
 Ensure that the selected fields corresponds to previously defined Output table structure
of the function.
 Example :
SQL_A = SELECT MATNR, KUNNR, …. FROM
<COPA_ACTUAL_ANALYTICAL VIEW 1>
SQL_P = SELECT MATTNR_KUNNR, … FROM
<COPA_PROJECTED_ANALYTICAL VIEW 2>
TABLE_OUTPUT_STRUCTURE =
SELECT * FROM <SQL_A> UNION
SELECT * FROM <SQL_P>;

R Integration with the SAP HANA database – Scenario 1
Join
OP
ROP
OLAP
OP
Calc. Engine
R External
Packages
(Forecasting,
Parallelism,
statistics, etc.)
RClient
SAP RHANA
Package
Send data
and R
script
NewDB Space OpenSource R
Space
1
3
NewDB
R
Integration
Open Source
R
2 Run the R scripts
Get back the
result from R
to SAP HANA
Usage Scenario 1
 Utilize Open Source R as the data mining calculation engine.
 Application developer can embedded R scripts in the
SQLScript.
CREATE FUNCTION LR( IN input1 SUCC_PREC_TYPE,
OUT output0 R_COEF_TYPE)
LANGUAGE RLANG AS'''
CHANGE_FREQ<-input1$CHANGE_FREQ;
SUCC_PREC<-input1$SUCC_PREC;
coefs<-coef(glm(SUCC_PREC ~
CHANGE_FREQ, family = poisson
));
INTERCEPT<-coefs["(Intercept)"];
CHANGEFREQ<-coefs["CHANGE_FREQ"];
result<-
as.data.frame(cbind(INTERCEPT,CHANGEFREQ))
''';
TRUNCATE TABLE r_coef_tab;
CALL LR(SUCC_PREC_tab,r_coef_tab );
SELECT * FROM r_coef_tab;
Sample Codes in SAP HANA SQLScript

Business Function Library
Business Function Library (BFL) is the calculation library for Applications built on top of the SAP HANA
database. It resides in the Calculation Engine and consists of many Business Functions executing at the
database layer and is written in C++.
Significant performance improvements for
SAP apps
1. Utilizing new hardware i.e. multi core,
built in vector engine
2. Massive parallel main memory
processing
3. Changing the boundaries between
application server and data management
layer
Simplification of application programming
model
1. Usage of extended SQL(SQLScript)
2. Rich functionalities in the Calculation
Engine
3. Fast apps delivery
Design GoalsBFL Wiki

Hana To Go Presentation Final With Demo Screen Shots Nov8

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