PUBLIC

Data Management Evolution: Build the data foundation for your enterprise data integration and ingestion

Nicola Bertini, Senior Presales Platform & Data Management

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PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ 3ǀ

Businessneeds to be

more intelligent

Business needs

more connected,

intelligent data

Business needs

more trusted data

IT needs more cloud

and architecture

flexibilityTechnologyis delivering new

types of solutions

Intelligent

Enterprise

Low LatencyFree up time for Innovation

Explore opportunitiesdrive growth and business agility

Cloud FreedomArchitectural Flexibility

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Hyb

rid

Clo

ud

Managem

ent

SAP HANA Data Management SuiteTrusted data | Connected, intelligent data | Cloud architecture flexibility

SAP Intelligent Enterprise Suite SAP Leonardo and SAP Analytics Cloud Third-Party Applications

SAP HANA Data Management Suite

In-memory Data discovery & transaction & analytics governance

Data orchestration

& integration

Data cleansing &

enrichmentData storage &

compute

SAP HANA SAP Data Hub

SAP Enterprise Architecture Designer

Third-Party

Services & Products

Spark

Hadoop

Third-party

Databases

Third-party Data

Management

SA

P C

lou

dP

latf

orm

SAP Add-On API

Services & Products

SAP HANA

Spatial services

SAP HANA

Blockchain service

SAP HANA

Streaming Analytics

Other SAP Cloud

Platform and SAP

LeonardoServices

SAP EIM Solutions

On Premises Multi-CloudHybrid

Business

Data

Cloud

Application DataIoT Spatial Social Image

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Connected, intelligent data

#1 Know Your Data #2 Orchestrate Your Data #3 Utilize Your Data

Internet of Things Data LakeCloud Data

WarehouseMachine Learning Applications

On-Premise

Data Warehouse

Use

Cases:

Rela

tio

na

l Pre

dic

tive

Question Answer

Push

Engines

& Queries

Query

Results

PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ 7ǀ

Connected, intelligent data

#1 Know Your Data #2 Orchestrate Your Data #3 Utilize Your Data

Internet of Things Data LakeCloud Data

WarehouseMachine Learning Applications

On-Premise

Data Warehouse

Use

Cases:

Rela

tio

na

l Pre

dic

tive

Question Answer

Push

Engines

& Queries

Query

ResultsSAP Data Hub

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What is SAP Data Hub? The Lego Analogy

Information Catalog | Monitoring & Scheduling | Orchestration | Pipelines

Hybrid

Str

ea

m

Su

bscri

be

Ing

es

t Va

lid

ate

Tra

ns

form

En

ric

h

Ad

va

nc

ed

A

na

lyti

cs

Ma

ch

ine

Le

arn

ing

Ma

sk

Cu

sto

mC

od

e

Ima

ge

Pro

cessin

g

Advanced

Analy

tics

Re

fin

e

Pu

bli

sh

Tri

gg

er

Ac

tio

n

Data

Consumption

Intelligent

apps

Automated

processes

Streams: live data feed

(e.g. audio, video, twitter)

Events : alert/notification

(e.g. IoT)

Semi-structured: JSON,

XML

Structured: RDBMS, CRM,

ERP, Legacy, File, etc.

Unstructured: PPTs, Words,

video, audio, image

Disparate

Data Landscapes

On-Premises Cloud

SAP Data Hub

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How SAP Data Hub makes the difference

Distributed and heterogeneous data processing

HANA engines (ML, Spatial, Graph …)

Leonardo ML

Foundation

Executing

SAP engines

… across distributed infrastructures, minimizing data movements

… and Open

Source engines…

Note: this slide represents only a non-exhaustive subset of the

systems accessible via Data Hub

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How SAP Data Hub makes the difference

Integration, orchestration, refinement and curation of diverse data sources

Structured

Data

Unstructured

Data

Streaming

Data

Big Data

Service

Note: this slide represents only a non-exhaustive subset of the

systems accessible via Data Hub

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Orchestration of distributed, diverse data drives the intelligent enterprise

Integration of

Diverse Data

Distributed and

Heterogeneous

Data Processing

Centralized Metadata

Exploration

One single tool for integrating, orchestrating and monitoring complex

workflows across structured, unstructured, streaming and IoT data

across the enterprise.

One single tool for executing both SAP and Open Source data

processing engines across cloud and on-prem locations, minimizing

data movement.

One single tool for cataloguing, browsing, profiling all disparate and

distributed data sources.

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How SAP Data Hub makes the difference

Centralized Metadata Exploration

A centralized location for

browse connections | monitoring | metadata catalog | search datasets | publications | labels

Thank you.

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