SAP eXperience DaySAP BW/4HANA21 marzo 2018

Nicola Bertini,

Senior Presales Specialist Database & Data Management, SAP Italia

SAP BW/4HANAThe Universal data warehouse

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All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from

expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates,

and they should not be relied upon in making purchasing decisions.

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Why we need to talk about the data warehousing market

PerformanceValuable real-time results

Scope historical data AND Predictive, agile analytics

Value Improved use of previously unused data

Higher Customer Expectations

Data

New TypesBehavioral data and the Internet of Things

Larger VolumesPetabytes with a two digit annual growth rate

New LocationsCloud and data lakes

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Are data warehouses still the appropriate solution?

PerformanceValuable real-time results

Scope historical data AND Predictive, agile analytics

Value Improved use of previously unused data

Higher Customer Expectations

Data

New TypesBehavioral data and the Internet of Things

Larger VolumesPetabytes with a two digit annual growth rate

New LocationsCloud and data lakes

Data Warehouse

?

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What is an Enterprise Data Warehouse?Functions of the Enterprise Data Warehouse (EDW)

Characteristics

• Consolidates data across the

enterprise

• Standardized data model

• Supports decision making

Main Tasks

• Define common semantics

• Harmonize data values

• Establish a ‘single version of truth’

• Provide a single, comprehensive

source of current and historical

information

• Keep copy of source data to

ensure independency of source

and support the unknown

Data Warehouse “Single Point of Truth”

Virtual Access Batch (ETL) Real-timeStreaming

Data SourcesSAP, non-SAP, On premise, Cloud

AnalyticsBusiness Intelligence, Predictive, Planning

Feeding

external

systems

Planning &

Forecast

Big DataHadoop

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SAP Offering: Next Generation Data Warehousing LandscapeSAP BW/4HANA and Native SQL Scenarios

SAP HANA Platform

SAP Business Warehouse

SAP BW/4HANA

SAP HANA native SQL Data Warehouse

SAP HANA Application

Services

SAP HANA Integration

Services

SAP HANA Processing

Services

SAP HANA Database Services

SAP HANA Data Warehouse

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Application driven approach, SAP BW/4HANA as

premium DW application with integrated services

• SAP BW/4HANA is an application offering all required data

warehousing services via one integrated repository

No additional tools for modelling, monitoring and managing

the data warehouse required, but can be integrated

SQL driven approach, SAP HANA with loosely

coupled tools and platform services, logically

combined

Database approaches require several loosely coupled tools

to fulfill the necessary tasks with separate repositories

A combination of tools (such as best of breed) used to build

the data warehouse

SAP Data Warehousing Approaches

SAP HANA Platform

SCHEDULING &

MONITORINGMODELING PLANNING

OLAPLIFECYCLE

MANAGEMENTETL

SAP BW/4HANA

SAP HANA Platform

SCHEDULING &

MONITORINGMODELING PLANNING

OLAPLIFECYCLE

MANAGEMENTETL

SQL driven approach

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The Three Approach-Strategy for SAP HANA Data Warehousing

SAP HANA Platform

SAP BW/4 approach SQL approach(extendable by third-party-tools)

Mixed approach

Data Warehouse

SAP HANA

Application

Services

SAP HANA

Integration

Services

SAP HANA

Processing

Services

SAP HANA

Database

Services

SAP Business Warehouse

SAP BW/4HANA

SAP HANA native

SQL Data Warehouse

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2013 20152012 2016

SAP BW/4HANA – The Next Generation Data Warehouse

SAP BW 7.5

powered by

SAP HANA

Performance

optimization

Simplification and

Virtualization

Introducing SAP BW/4HANA

The Next Generation Data Warehouse

Built for Cloud and on premise

Logical Data Warehousing

Internet of Things

Integrates with Big Data

Simplification,

HANA platform

integration

Big Data

scenarios

SAP BW 7.3

powered by

SAP HANA

SAP BW 7.4

powered by

SAP HANA

SAP BW/4HANA

Starter

Add-on

For SAP BW/4HANA

customers only

Use transfer tools

to make system ready for

SAP BW/4HANA

Requires SAP BW 7.5

SP 4 or higher

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is a new data warehouse solution

is highly optimized for SAP HANA

solves analytics problems in seconds that take other systems days

accelerates solution development

means you have one version of the truth

is ready for the Internet of Things at petabyte scale

The Next Generation Data WarehouseAnnouncing SAP BW/4HANA

SA

P B

W/4

HA

NA

…

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SAP BW/4HANA Design Principals

Easier access

to all information

Work with HANA in BW

mode, or in native SQL

mode, or both

Reduced

development efforts

Get up and running

sooner and keep

running at lower cost

SimplicityOpenness Modern InterfaceHigh Performance

New user interface for

all users

Simplify access for

everyone, not just

database experts

10-100x faster query

performance

Leverage huge amounts

of data in real time

for competitive advantage

Conversion

Powerful transition

tools

Convert models, flows,

and data from SAP BW

to SAP BW/4HANA

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SAP BW/4HANA Values

Deploy or prototype on a

cloud that grows with

your business

Flexibility to compete in

real time and adjust to

changing requirements

business agility cloud ready modern data warehousing

High performance, future-

proof platform for all new

challenges

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SAP BW/4HANA: The Solution for Universal Data WarehousingA simpler, faster, and more agile data warehouse

DATABASE MANAGEMENT

Web Server JavaScript

Graphic Modeler

Data Virtualization ELT & Replication

Columnar OLTP+OLAP

Multi-Core & Parallelization

Advanced Compression

Multi-tenancy Multi-Tier Storage

Graph Predictive Search

DataQuality

SeriesData

Business Functions

Hadoop & Spark Integration

Streaming Analytics

Application Lifecycle Management

High Availability &Disaster Recovery

OpennessDataModeling

Admin &Security

Remote Data Sync

Spatial

Text Analytics

Fiori UX

APPLICATION DEVELOPMENT DATA INTEGRATION & QUALITYADVANCED ANALYTICAL PROCESSING*

DATA WAREHOUSING

Analytic

ServicesOpen Interfaces Business Planning &

Consolidation

Services *

Data Modeling

Objects &

Services

Modeling ToolsData

Warehousing

Services

Data Acquisition

Services

* Additional license might be required

SAP HANA

SAP BW/4 HANA

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SAP BW/4HANA: The Solution for Universal Data WarehousingA simpler, faster, and more agile data warehouse

DATABASE MANAGEMENT

Web Server JavaScript

Graphic Modeler

Data Virtualization ELT & Replication

Columnar OLTP+OLAP

Multi-Core & Parallelization

Advanced Compression

Multi-tenancy Multi-Tier Storage

Graph Predictive Search

DataQuality

SeriesData

Business Functions

Hadoop & Spark Integration

Streaming Analytics

Application Lifecycle Management

High Availability &Disaster Recovery

OpennessDataModeling

Admin &Security

Remote Data Sync

Spatial

Text Analytics

Fiori UX

APPLICATION DEVELOPMENT DATA INTEGRATION & QUALITYADVANCED ANALYTICAL PROCESSING*

+

DATA WAREHOUSING

Analytic

ServicesOpen Interfaces Business Planning &

Consolidation

Services *

Data Modeling

Objects &

Services

Modeling ToolsData

Warehousing

Services

Data Acquisition

Services

* Additional license might be required

SAP HANA SAP BW/4 HANA

SA

P H

AN

A

SAP BW/4 HANA

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High Performance

In-Memory Data Warehousing

Algorithm Pushdown

Advanced Analytics

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SAP BW/4HANA – In-memory Data Warehousing

Query all data at the speed of SAP HANA

No Aggregates or Roll-up Processes

No Performance Specific Modeling Objects

Fewer Database Indexes

Faster Loading and Processing

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Any DB

Significant performance gain through

push-down of operations/calculations

to SAP HANA

• OLAP Engine, complex query

calculations

(e.g. exception aggregation)

• Planning functions

(e.g. disaggregation)

• Data management

(e.g. transformation logic)

SAP BW/4HANA – Algorithm Push-down

BW on AnyDBSAP BW Server

Data Modelling

Pro

ce

ss O

rch

estr

ation

SAP HANA

OLAP

Planning

Data Management

SAP BW/4HANA Server

Data Modelling

Pro

ce

ss O

rch

estr

ation

OLAP

Data Management

Planning

Pushdown

All processing on application server Most processing on SAP HANA

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Enhance data with Advanced

Analytics* using HANA specific

libraries (AFL), R-Script or a

custom HANA procedure

• Predictive

• Text Analysis

• Data Mining

• Machine Learning

SAP BW/4HANA – Advanced Analytics

SAP BW/4HANA

SAP HANA

HAP

R-Script

Automated Procedure

(UDF, AFL)

PAL

Source Transform Target

InfoProvider InfoProvider

/ Index

HANA

Analysis

Process

SAP Predictive

Analytics

Predictions

* Additional license might be required

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Openness

Native SQL Access

Simplified Data Integration

Simplified Source Systems

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SAP BW/4HANA – Native SQL Access

SAP BW/4HANA logic and data can be

exposed to SAP HANA

Automatic generation of SAP HANA

views allows:

• SQL logic on top of generated views

• Combined data from native SAP

HANA

• SQL access for front-end tools

Generated SAP HANA views are part

of SAP BW/4HANA lifecycle

management and SAP BW/4HANA

security

SAP HANASAP BW/4HANA

DataStore

Object

Query

* SAP BW/4HANA generated HANA view

Calculation

View *

Calculation

View *

Calculation

View *

Composite

Provider

Calculation

View *

InfoObject

Open ODS

View

Calculation

View *

HANA

Tables/ Views

Analytics

Custom

Calculation

Views

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Leverages SAP HANA EIM to provide

new data provisioning opportunities

• Replicate data in real-time (HANA

SDI based replication or via ODP -

especially with ODP-SLT)

• Access data virtually

• Load data using optimized

processing

Or automatically switch between the

different methods

SAP BW/4HANA – Simplified Data Integration

Check full list of supported SDI sources here

Non-SAP Sources

full load /

delta load /

real-time

replication

SAP HANA

HANA Source System ODP Source System

EIM – smart data integration

SAP Sources

Extractors

Operational Delta Queue (ODQ)

direct

access

real-time

replication

SAP BW/4HANA

Adapters

@

RDBMS

/HadoopText Structured Social Media Email

ASE, ECC,

HANA Hive Facebook Excel

3rd Party

RDBMSFiles Twitter SOAP SLT

ABAP

CDS

SAP BWBusiness

ByDesign

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Number of Source System types reduced

from 10 to 4 (60% less)

• HANA Source System for all database

connectivity (non-SAP data)

• ODP Source System for SAP backend

systems and SLT

• Big Data Source System

• File Source System

(for compatibility with SAP BW)

SAP BW/4HANA – Simplified Source Systems

Classic SAP BW

File

ODP6

SAP Data Services3

UD Connect2

DB Connect1

SAP BW/4HANA

HANA Source System1

ODP3

File4

All

So

urc

es

SA

P S

ou

rces/

We

b S

erv

ice

s

Extractor (SAPI)7

Web Services *

BW8

BAPI/Partner4

HANA Source System5

10

File

Up

loa

d

Big Data **2

Big

Data

9

* Planned

** Connectivity to Spark (SQL) destination already possible with the HANA Source System in BW 7.50 on

HANA

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Simplicity

Simplified Data Structures

Simplified Data Flows

Simplified Data Aging Process

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SAP BW/4HANA – Simplified Data Structures

Classic SAP BW

• Number of Modelling object types

reduced from 10 to 4 (60% less)

• No complex data structures

(extended star schema)

• Field or InfoObject based modelling

• Greater control of data persistency

and virtualization

• Support for external, structured and

unstructured data

InfoCube6

DataStore Object7

Hybrid Provider8

PSA Table9

InfoObject10

Transient Provider5

Virtual Provider4

CompositeProvider3

InfoSet2

MultiProvider1

CompositeProvider1

Open ODS View2

DataStore Object (advanced)3

InfoObject4

Virtu

aliz

atio

nP

ers

iste

ncy

SAP BW/4HANA

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SAP BW/4HANA (LSA++)

Service Level

Classic SAP BW (LSA)

top d

ow

n M

odelli

ng

bo

tto

m u

p M

od

elli

ng

top

do

wn

Mo

de

llin

g

Source

Staging Layer/

Corporate Memory

Propagation Layer

Architected

Data Marts

Virtualization Virtualization/ Virtual Data Marts

Architected

Data Mart

Source

Staging Layer/

Corporate Memory

Open ODS Layer/

Raw DWH

Propagation Layer/

Integrated DWH mandatory

layers

mandatory

layer

optionallayers

depending on

business

needs

and required

service level

SAP BW/4HANA – Simplified Data FlowsFrom Layered Scalable Architecture (LSA) to LSA++

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SAP BW/4HANA – Simplified Data Aging Process

Scale SAP BW/4HANA using

Data Tiering Optimization

(DTO)

• Consistent approach for hot,

warm and cold data

• Allocate temperature by

partition

• Displace data automatically

between hot, warm and cold

storage

SAP HANA Extension Nodes SAP IQHadoop

Automatic Displacement of Data

Hot Data Warm Data Cold DataSAP HANA in-memory

Extension Node with relaxed

memory requirements

Allocate by aDSO or aDSO

partition

SAP HANA in-memory

Allocate by aDSO or aDSO

partition

SAP IQ / Hadoop storage /

SAP Vora

Allocate by aDSO

partition

Thank You.

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In particular, SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation,

and SAP SE’s or its affiliated companies’ strategy and possible future developments, products, and/or platforms, directions, and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice. The information in this document is not a commitment, promise, or legal obligation to deliver any material, code, or

functionality. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, and they

should not be relied upon in making purchasing decisions.

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