Hana To Go Presentation Final With Demo Screen Shots Nov8

SAP Hana Technical Workshop
High Performance Analytics
October 6, 2011

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

© 2011 SAP AG. All rights reserved. Confidential 4

SAP in-memory innovations make
the “New Way” a reality

Columnar storage increases the
In-memory allows
amount of data that can be
sophisticated calculations In-Memory stored in limited memory
in real-time
(compared to disk)

In-memory processing
Row
Calculation gives more time for +
Engine relatively slow updates Column
to column data Database

Column databases enable
MPP optimized software enables Massively easier parallelization of
linear performance scaling Parallel queries
making sophisticated calculations Processing
like allocations possible Row database fast
transactional processing

6

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

8

SAP HANA Proof-Points
Enabling Business Agility


SAP HANA Development Roadmap
Product Strategy and Plan
Vision
SAP HANA Longer-Term
1.0 sp3

SAP HANA 1.0 SAP HANA
Dec 2010 1.0 sp1, July 2011

sp2
RTC General
(Ramp-up) Availability

Next-gen Applications One Store for Data and
In-Memory Analytics
Capabilities

SAP BW fully running on SAP HANA Analytics
SAP HANA real-time operational
analytics SAP HANA platform for in-memory apps SAP HANA only persistence layer
■ Industry and LOB Analytic Apps for SAP Business Suite
Complete BI Suite with BI 4 runs
on SAP HANA ■ Other purpose built apps SAP Business Suite optimized for in-
Further optimization of BI 4 Suite for SAP memory computing
Begin delivery of Baseline
Reporting packages HANA
SAP Business Suite begins move to SAP
HANA
Benefits

Flexible real time analysis of Real-Time operational planning Reduced landscape complexity
operations at non-aggregated and simulation capabilities: Value chain transformation
level link to execution
Primary persistence and
optimized for SAP BW

10

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.

11

SAP ERP rapid-deployment solution for operational
reporting with SAP HANA™ software
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.

SAP
Current situation
CRM Rapid
Deployment Reactive business model and lack of business transparency
Solution due to sub-optimal execution speed of the current ERP
operational reporting solution

Business Models and Reports included: Value proposition
 Financial Reporting Provide flexible real time analytics, improve business
 Sales Reporting
performance, strengthen competitive advantage, provide
 Procurement Reporting
quick wins for business.
 Shipping Reporting
 Master Data Reporting
Outcome opportunity
Sales people’s efficiency is increased, plans are more
accurate and reporting is more timely.

12

SAP HANA – Complete Solution
Preconfigured Analytical
Appliance
Custom SAP
Applications BusinessObjects ■ In-Memory software + hardware
(Cisco, Dell, HP, IBM, Hitachi and Fujitsu)
MDX SQL Optimized

In-Memory Computing Engine
SAP NetWeaver
BW
In-Memory Computing Engine Software
In-Memory Calculation
■ Data Modeling and Data Management
3rd Party Row/Column and Planning ■ Real-time Data replication for SAP ECC
Data Store Engine
■ Data Integration for 3rd Party Systems
SAP
Business Suite Data Management Service
Capabilities Enabled
■ Analyze information in real-time at
unprecedented speeds on large volumes of
Admin and Data Modeling
non-aggregated data
■ Create flexible analytic models based on
Real–Time Replication Services real-time and historic business data
■ Foundation for new category of
Data Integration Services applications (e.g., planning, simulation) to
significantly outperform current applications
in category
■ Minimizes data duplication


Architecture Overview
In-Memory Computing Engine and Surroundings
In-Memory Computing Studio MS Excel Clients (planned, e.g.) BI4 Explorer
Administration Modeling Dashboard SAP BI4 universes
BI4 Analysis
Design (WebI,...)

ERP
Session Management
System
ERP DB Landscape
Transformation Transaction
Request Processing / Execution Control
Manager
SQL Parser MDX
SLT SQL Script Calc Engine Authorization
SAP Business Objects BI4 Manager
Relational Engines
Data SBO BI4 Metadata
Services Information Row Store Column Store
Manager
Designer Design Tool
SBO BI4 Persistence Layer
Data Page Management Logger
servers
Services ( program
for client)
Disk Storage
Data Volumes Log Volumes
Other Source Systems
SAP
NetWeaver 3rd Party
BW


In-Memory Computing Engine and Surroundings
Administration Modeling In-Memory Computing Engine BI4 universes
Dashboard SAP
BI4 Analysis
Design (WebI,...)
Session Management
ERP
Session Management
Transaction
System Request Processing / Execution Control
ERP DB Landscape Manager
Transformation
SQL Parser MDX
Request Processing / Execution Control Transaction
SLT SQL Script Calc Engine
SQL Parser Authorization Manager
MDX
SLT SQL Script
Manager
Calc Engine Authorization
SAP Business Objects BI4 Relational Engines Manager
Relational Engines Metadata
Data SBO BI4 Row Store Column Store Metadata
Services Information Row Store Manager
Column Store
Manager
SBO BI4 Persistence Layer
Data Page Management
servers Persistence Layer
Page Management
Logger Logger
Services ( program
for client)
Disk Storage
Other Source Systems Disk Storage
SAP
NetWeaver 3rd Party
BW


Loading Data into SAP HANA
BI4 Analysis
Design (WebI,...)

ERP In-Memory Computing Engine
Session Management
System
ERP DB Landscape
Transformation Request Processing / Execution Control Transaction
Manager
SQL Parser MDX
Manager
Business Objects Enterprise Relational Engines
Data SBO Row Store Column Store Metadata
Services Information Manager
SBO BI4 Page Management Persistence Layer Logger
Data
Services servers
( program
for client) Disk Storage
SAP
NetWeaver 3rd Party
BW

Data Modeling
BI4 Analysis
Design (WebI,...)

Session Management
System
ERP DB Landscape
Manager
SQL Parser MDX
Manager
Data
Services servers
( program
SAP
NetWeaver 3rd Party
BW

Reporting
BI4 Analysis
Design (WebI,...)

Session Management
System
ERP DB Landscape
Manager
SQL Parser MDX
Manager
Data
Services servers
( program
SAP
NetWeaver 3rd Party
BW

Administration
BI4 Analysis
Design (WebI,...)

Session Management
System
ERP DB Landscape
Manager
SQL Parser MDX
Manager
Data
Services servers
( program
SAP
NetWeaver 3rd Party
BW

HANA Modeling Process Flow

Import
Source Create
System Information
metadata Models Consume
•Physical tables are
•Database Views are •Consume with
created
created choice of client
dynamically (1:1
schema definition •Attribute Views tools
of source system •Analytic Views •BICS, SQL, MD
tables) •Calculation Views X

Provision Deploy
Data •Column
•Physical tables are views are
loaded with content. created and
activated


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

yes Information no
in single
table
Access Base
Tables/ Attr Only Joins
Base Tables Views yes and
no

calculated
expressions

Use Attribute yes Star not enough
Attribute views Views Schema or
Aggregation

Use Analytic yes Try not enough
Analytic Views Views Graphical
Calc View

Use
Graphical
Calc Views Calc Views
Use Scripted
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 Instance
way to access content in the
HANA system. Security

Top level nodes are System
Instances.
Schemas/Data
Each instance contains:

 Catalog
 Authorizations/Security
 Schemas/Data Tables

 Content Information
 Virtual Information Models 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

A schema defines the configuration of
the data replication for a source system

Number of jobs

RFC Connection

Connection to HANA

Table space (optional)

Replication mode


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

yes Information no
in single
table
Access Base
no

calculated
expressions

Aggregation

Calc View

Use
Graphical
Use Scripted
Calc Views


Modeling Data – Analytic Views


Analyze Data in
Hana

yes Information no
in single
table
Access Base
no

calculated
expressions

Aggregation

Calc View

Use
Graphical
Use Scripted
Calc Views


Viewing Results

• SAP BusinessObjects Explorer
• SAP BusinessObjects Web Intelligence

More Complex Information Models


Analyze Data in
Hana

yes Information no
in single
table
Access Base
no

calculated
expressions

Aggregation

Calc View

Use
Graphical
Use Scripted
Calc Views


Calculation View
Graphical

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

UNION JOIN


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_MKT
SEGMENT, C_NAME, O_YE
AR, O_MONTH, O_TOTALP
RICE)
 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

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

3 Get back the
result from R
to SAP HANA

R Open Source
NewDB
Integration R


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++.

BFL Wiki Design Goals
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


Hana To Go Presentation Final With Demo Screen Shots Nov8

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