SAP Data Hub · 2019-05-29 · Scenario: Enrich product data in SAP BW with social product...

SAP Data HubFreedom of Data in a Diverse Landscape

Tobias Koebler amp Axel SchullerSAP Data Hub - Product Management

SAP SE

2PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP

Except for your obligation to protect confidential information this presentation is not subject to your license agreement or any other service

or subscription agreement with SAP SAP has no obligation to pursue any course of business outlined in this presentation or any related

document or to develop or release any functionality mentioned therein

This presentation or any related document and SAPs strategy and possible future developments products and or platforms directions and

functionality are all subject to change and may be changed by SAP at any time for any reason without notice The information in this

presentation is not a commitment promise or legal obligation to deliver any material code or functionality This presentation is provided

without a warranty of any kind either express or implied including but not limited to the implied warranties of merchantability fitness for a

particular purpose or non-infringement This presentation is for informational purposes and may not be incorporated into a contract SAP

assumes no responsibility for errors or omissions in this presentation except if such damages were caused by SAPrsquos intentional or gross

negligence

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

Disclaimer


Introduction

Product Insights

Data Warehousing and SAP Data Hub

Demo

Introduction


MISSING LINKBetween Big Data and Enterprise Data

Data is kept in silos across the

enterprise

LIMITED TOOLSLack of enterprise readiness

High effort to productize complex data

scenarios across data landscape

GOVERNANCELack of security and visibility Who

changed the data What was

changed Who is accessing it

Enterprise data landscapes are growing increasingly complex

Why so slow

Need better

dashboards

Whatrsquos the

qualityI need

more apps

Wherersquos my

new data

LANDSCAPE CHALLENGES

Cloud Storage

EDW

Data Mart

Data Lake

Outside PartnersRampD Manufacturing Sales amp Marketing

Enterprise Apps

ERP CRM HR

BI and

VisualizationMobile Apps Cloud Apps

Master Data

Management

EDWC

ross-d

ep

art

me

nt

dis

co

nn

ect

Data Lake

Data Lake

Data Mart

Data MartCloud Storage

EDW

Data Mart

Data Lake


Business

IT

Cro

ss-d

ep

art

me

nt

dis

co

nn

ect

Cro

ss-d

ep

art

me

nt

dis

co

nn

ect


Knows weather

conditions

Communicates

with pilots

Knows

passenger lists

Schedules

all takeoffs

Knows traffic

Schedules all landings

Knows crews

passengers

destinations

Orchestrates

landing strip

Monitors airport

activities

Influences ground

processes

Oversees all types

of vehicles

Leverages different

tools technologies

What would SAP Data Hub look like in the real world


SAP Data Hub ndash Unified Data Integration for the Intelligent Enterprise

IoT Machine Learning

SAP Data Hub

Data Governance

Data Discovery Data Profiling Metadata Cataloging

Analytics BW hellip

Distributed Runtime

Data-driven Applications

SAP HANA

SAP HANA

Integration

SAP Applications Distributed External Data Systems

Cloud Data

Integration

ABAP

Integration

Connectors(open amp native

protocols)

Cloud Storages

Hadoop HDFS

Databases

3rd party apps

Streaming (eg IoT)

Public Clouds

SCI for process

integration

SAP Event Bus

SAP API

Business Hub

REST APIs

Workflow

Business

Apps

Business

Services

BW Process

Chains

Data Services

JobsHANA

Flowgraphs

This is the current state of planning and may be changed by SAP at any time without notice

SAP BW

Data Orchestration amp Monitoring

Connection Management Workflows Scheduling

Data Pipelining amp Processing

Data ingestion Data Processing Data Enrichment

Product Insight


Architecture

Simplified deployment of SAP Data Hub

in cloud environments and on-premise

All necessary components are fully containerized and

delivered as a Docker image including SAP HANA

Decoupling data processing (in Kubernetes) and data

storage (any support cloud store)

Deployment in multiple Kubernetes managed

environments

ndash Leveraging managed cloud Kubernetes services in

AWS Microsoft Azure Google Cloud Platform

ndash Support for private cloud and on-premise installations

See Product Availability Matrix for detailed version dependencies


Deployment Options

private cloud on-premise

installations

managed cloud

Kubernetes service

full service

Please always check the Product Availability Matrix for the latest information about

supported OS Kubernetes versions certified partners and any other restrictions

SAP Data Intelligence


One central entry point to all services and applications

SAP Data Hub Connection Management SAP Data Hub Monitoring

SAP Data Hub launchpadCentral entry point


SAP Data HubMetadata Management

Build up catalog to get insight into your companyrsquos metadata


SAP Data Hub Modeler

Pipelining amp Processing

Build scalable and flexible flow-based applications


Extensible

Standard operators

CustomPartner operators

Wrap custom code

Scalable

Distributed

Containerized

Production-Ready

Manage

Schedule (stream time interval)

Observe

Re-Usability

SAP Data Hub Modeler Building Data-Driven Pipelines with Operators

Read the

product reviews

from HDFS

Load the

sentiment

analysis results

in SAP Vora

Parse the file

and perform

sentiment

analysis


Patterns and Use CasesOverview

IoT Ingestion amp OrchestrationUnderstand real-world performance

Governance Data CatalogingUnderstand and secure your data

Data Science amp

ML Data Management

Intelligent Data WarehouseRapidly integrate and leverage new data sources


DISCOVER

Acquire new data sources with previously siloed data from traditional data warehouses data marts enterprise applications and Big Data stores

REFINE

Combine all types of sources including structured and unstructured data and enable a large variety of processing on them

GOVERN

bull Manage the data catalog and analyze data lineage

ORCHESTRATE

Seamlessly process large data sets across highly distributed landscapes and close to the data source moving only high-value data

Data Warehousing and SAP Data HubRapidly integrate and leverage new data sources

SAP Data Hub

SAP

BW4HANA

SAP HANA

Data

Lake

SAP Analytics Cloud

Social amp Video

Email audio

geospatial etc

Cloud

Datastores


Example Scenario

Combine refined Big Data with enterprise data and

corporate master data

Extract or federate data into

SAP HANA or BW4HANA

Ingest data into S3 as landing zone for data

Orchestrate and schedule all related processes

Implement transformations and data pipelines

Harmonize data structures and look-up of reference

data

Execute operations on large data volumes

Automation of complex data science processes and

decision making based on data in-flight

Data Warehousing and SAP Data HubCustomer example

Hadoop

(HDFS)

SAP

HANA

SA

P D

ata

Hu

b

Con

sole

3rd

Par

ty

SA

P P

A

Spa

rk

Sca

la

Pyt

hon

SA

P A

naly

tics

Clo

ud

STREAM

COPY

BATCH

JOIN

FILTER

CLEANSE

LOCK-UP

SCRIPT

MASK

ANONYMIZE

PARSE

Store amp Process

LOAD

EXTRACT

FEDERATE

TRANSFORM

Master Data

Master Data

MODEL

SAP

VORA

SA

P H

AN

A o

r

BW

4H

AN

A

Orchestration amp

Data RefiningAccess


Scenario Enrich product data in SAP BW with social product assessment data stored in S3

1 Read and cleanse social assessment data from S3 object store

2 Pull product data from SAP BW4HANA and store in SAP Vora database for later processing

3 Join product data with social assessments

4 Aggregate enriched data in SAP BW4HANA

SAP Data Hub ndash Integration with SAP BW4HANAExample SAP BW4HANA + Data Transform


DH ndash BW data transfer

Simplified architecture

DemoSee SAP Data Hub in Action


Thanks

Product Manager SAP Data Hub

Contact information

copy 2018 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

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 SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor 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

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us


The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP

Except for your obligation to protect confidential information this presentation is not subject to your license agreement or any other service

or subscription agreement with SAP SAP has no obligation to pursue any course of business outlined in this presentation or any related

document or to develop or release any functionality mentioned therein

This presentation or any related document and SAPs strategy and possible future developments products and or platforms directions and

functionality are all subject to change and may be changed by SAP at any time for any reason without notice The information in this

presentation is not a commitment promise or legal obligation to deliver any material code or functionality This presentation is provided

without a warranty of any kind either express or implied including but not limited to the implied warranties of merchantability fitness for a

particular purpose or non-infringement This presentation is for informational purposes and may not be incorporated into a contract SAP

assumes no responsibility for errors or omissions in this presentation except if such damages were caused by SAPrsquos intentional or gross

negligence

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

Disclaimer


Introduction

Product Insights


Demo

Introduction




enterprise








Why so slow

Need better

dashboards

Whatrsquos the

qualityI need

more apps

Wherersquos my

new data


Cloud Storage

EDW

Data Mart

Data Lake


Enterprise Apps

ERP CRM HR

BI and


Master Data

Management

EDWC

ross-d

ep

art

me

nt

dis

co

nn

ect

Data Lake

Data Lake

Data Mart


EDW

Data Mart

Data Lake


Business

IT

Cro

ss-d

ep

art

me

nt

dis

co

nn

ect

Cro

ss-d

ep

art

me

nt

dis

co

nn

ect


Knows weather

conditions

Communicates

with pilots

Knows

passenger lists

Schedules

all takeoffs

Knows traffic


Knows crews

passengers

destinations

Orchestrates

landing strip

Monitors airport

activities

Influences ground

processes

Oversees all types

of vehicles

Leverages different

tools technologies





SAP Data Hub

Data Governance


Analytics BW hellip

Distributed Runtime


SAP HANA

SAP HANA

Integration


Cloud Data

Integration

ABAP

Integration


protocols)

Cloud Storages

Hadoop HDFS

Databases

3rd party apps

Streaming (eg IoT)

Public Clouds

SCI for process

integration

SAP Event Bus

SAP API

Business Hub

REST APIs

Workflow

Business

Apps

Business

Services

BW Process

Chains

Data Services

JobsHANA

Flowgraphs


SAP BW





Product Insight


Architecture








environments






Deployment Options


installations

managed cloud

Kubernetes service

full service
















Extensible

Standard operators


Wrap custom code

Scalable

Distributed

Containerized

Production-Ready

Manage


Observe

Re-Usability


Read the

product reviews

from HDFS

Load the

sentiment

analysis results

in SAP Vora

Parse the file

and perform

sentiment

analysis





Data Science amp

ML Data Management



DISCOVER


REFINE


GOVERN


ORCHESTRATE



SAP Data Hub

SAP

BW4HANA

SAP HANA

Data

Lake

SAP Analytics Cloud

Social amp Video

Email audio

geospatial etc

Cloud

Datastores


Example Scenario




SAP HANA or BW4HANA





data





Hadoop

(HDFS)

SAP

HANA

SA

P D

ata

Hu

b

Con

sole

3rd

Par

ty

SA

P P

A

Spa

rk

Sca

la

Pyt

hon

SA

P A

naly

tics

Clo

ud

STREAM

COPY

BATCH

JOIN

FILTER

CLEANSE

LOCK-UP

SCRIPT

MASK

ANONYMIZE

PARSE

Store amp Process

LOAD

EXTRACT

FEDERATE

TRANSFORM

Master Data

Master Data

MODEL

SAP

VORA

SA

P H

AN

A o

r

BW

4H

AN

A

Orchestration amp

Data RefiningAccess













Thanks


Contact information










warranty













wwwsapcomcontactsap

Follow us


Introduction

Product Insights


Demo

Introduction




enterprise








Why so slow

Need better

dashboards

Whatrsquos the

qualityI need

more apps

Wherersquos my

new data


Cloud Storage

EDW

Data Mart

Data Lake


Enterprise Apps

ERP CRM HR

BI and


Master Data

Management

EDWC

ross-d

ep

art

me

nt

dis

co

nn

ect

Data Lake

Data Lake

Data Mart


EDW

Data Mart

Data Lake


Business

IT

Cro

ss-d

ep

art

me

nt

dis

co

nn

ect

Cro

ss-d

ep

art

me

nt

dis

co

nn

ect


Knows weather

conditions

Communicates

with pilots

Knows

passenger lists

Schedules

all takeoffs

Knows traffic


Knows crews

passengers

destinations

Orchestrates

landing strip

Monitors airport

activities

Influences ground

processes

Oversees all types

of vehicles

Leverages different

tools technologies





SAP Data Hub

Data Governance


Analytics BW hellip

Distributed Runtime


SAP HANA

SAP HANA

Integration


Cloud Data

Integration

ABAP

Integration


protocols)

Cloud Storages

Hadoop HDFS

Databases

3rd party apps

Streaming (eg IoT)

Public Clouds

SCI for process

integration

SAP Event Bus

SAP API

Business Hub

REST APIs

Workflow

Business

Apps

Business

Services

BW Process

Chains

Data Services

JobsHANA

Flowgraphs


SAP BW





Product Insight


Architecture








environments






Deployment Options


installations

managed cloud

Kubernetes service

full service
















Extensible

Standard operators


Wrap custom code

Scalable

Distributed

Containerized

Production-Ready

Manage


Observe

Re-Usability


Read the

product reviews

from HDFS

Load the

sentiment

analysis results

in SAP Vora

Parse the file

and perform

sentiment

analysis





Data Science amp

ML Data Management



DISCOVER


REFINE


GOVERN


ORCHESTRATE



SAP Data Hub

SAP

BW4HANA

SAP HANA

Data

Lake

SAP Analytics Cloud

Social amp Video

Email audio

geospatial etc

Cloud

Datastores


Example Scenario




SAP HANA or BW4HANA





data





Hadoop

(HDFS)

SAP

HANA

SA

P D

ata

Hu

b

Con

sole

3rd

Par

ty

SA

P P

A

Spa

rk

Sca

la

Pyt

hon

SA

P A

naly

tics

Clo

ud

STREAM

COPY

BATCH

JOIN

FILTER

CLEANSE

LOCK-UP

SCRIPT

MASK

ANONYMIZE

PARSE

Store amp Process

LOAD

EXTRACT

FEDERATE

TRANSFORM

Master Data

Master Data

MODEL

SAP

VORA

SA

P H

AN

A o

r

BW

4H

AN

A

Orchestration amp

Data RefiningAccess













Thanks


Contact information










warranty













wwwsapcomcontactsap

Follow us

Introduction




enterprise








Why so slow

Need better

dashboards

Whatrsquos the

qualityI need

more apps

Wherersquos my

new data


Cloud Storage

EDW

Data Mart

Data Lake


Enterprise Apps

ERP CRM HR

BI and


Master Data

Management

EDWC

ross-d

ep

art

me

nt

dis

co

nn

ect

Data Lake

Data Lake

Data Mart


EDW

Data Mart

Data Lake


Business

IT

Cro

ss-d

ep

art

me

nt

dis

co

nn

ect

Cro

ss-d

ep

art

me

nt

dis

co

nn

ect


Knows weather

conditions

Communicates

with pilots

Knows

passenger lists

Schedules

all takeoffs

Knows traffic


Knows crews

passengers

destinations

Orchestrates

landing strip

Monitors airport

activities

Influences ground

processes

Oversees all types

of vehicles

Leverages different

tools technologies





SAP Data Hub

Data Governance


Analytics BW hellip

Distributed Runtime


SAP HANA

SAP HANA

Integration


Cloud Data

Integration

ABAP

Integration


protocols)

Cloud Storages

Hadoop HDFS

Databases

3rd party apps

Streaming (eg IoT)

Public Clouds

SCI for process

integration

SAP Event Bus

SAP API

Business Hub

REST APIs

Workflow

Business

Apps

Business

Services

BW Process

Chains

Data Services

JobsHANA

Flowgraphs


SAP BW





Product Insight


Architecture








environments






Deployment Options


installations

managed cloud

Kubernetes service

full service
















Extensible

Standard operators


Wrap custom code

Scalable

Distributed

Containerized

Production-Ready

Manage


Observe

Re-Usability


Read the

product reviews

from HDFS

Load the

sentiment

analysis results

in SAP Vora

Parse the file

and perform

sentiment

analysis





Data Science amp

ML Data Management



DISCOVER


REFINE


GOVERN


ORCHESTRATE



SAP Data Hub

SAP

BW4HANA

SAP HANA

Data

Lake

SAP Analytics Cloud

Social amp Video

Email audio

geospatial etc

Cloud

Datastores


Example Scenario




SAP HANA or BW4HANA





data





Hadoop

(HDFS)

SAP

HANA

SA

P D

ata

Hu

b

Con

sole

3rd

Par

ty

SA

P P

A

Spa

rk

Sca

la

Pyt

hon

SA

P A

naly

tics

Clo

ud

STREAM

COPY

BATCH

JOIN

FILTER

CLEANSE

LOCK-UP

SCRIPT

MASK

ANONYMIZE

PARSE

Store amp Process

LOAD

EXTRACT

FEDERATE

TRANSFORM

Master Data

Master Data

MODEL

SAP

VORA

SA

P H

AN

A o

r

BW

4H

AN

A

Orchestration amp

Data RefiningAccess













Thanks


Contact information










warranty













wwwsapcomcontactsap

Follow us




enterprise








Why so slow

Need better

dashboards

Whatrsquos the

qualityI need

more apps

Wherersquos my

new data


Cloud Storage

EDW

Data Mart

Data Lake


Enterprise Apps

ERP CRM HR

BI and


Master Data

Management

EDWC

ross-d

ep

art

me

nt

dis

co

nn

ect

Data Lake

Data Lake

Data Mart


EDW

Data Mart

Data Lake


Business

IT

Cro

ss-d

ep

art

me

nt

dis

co

nn

ect

Cro

ss-d

ep

art

me

nt

dis

co

nn

ect


Knows weather

conditions

Communicates

with pilots

Knows

passenger lists

Schedules

all takeoffs

Knows traffic


Knows crews

passengers

destinations

Orchestrates

landing strip

Monitors airport

activities

Influences ground

processes

Oversees all types

of vehicles

Leverages different

tools technologies





SAP Data Hub

Data Governance


Analytics BW hellip

Distributed Runtime


SAP HANA

SAP HANA

Integration


Cloud Data

Integration

ABAP

Integration


protocols)

Cloud Storages

Hadoop HDFS

Databases

3rd party apps

Streaming (eg IoT)

Public Clouds

SCI for process

integration

SAP Event Bus

SAP API

Business Hub

REST APIs

Workflow

Business

Apps

Business

Services

BW Process

Chains

Data Services

JobsHANA

Flowgraphs


SAP BW





Product Insight


Architecture








environments






Deployment Options


installations

managed cloud

Kubernetes service

full service
















Extensible

Standard operators


Wrap custom code

Scalable

Distributed

Containerized

Production-Ready

Manage


Observe

Re-Usability


Read the

product reviews

from HDFS

Load the

sentiment

analysis results

in SAP Vora

Parse the file

and perform

sentiment

analysis





Data Science amp

ML Data Management



DISCOVER


REFINE


GOVERN


ORCHESTRATE



SAP Data Hub

SAP

BW4HANA

SAP HANA

Data

Lake

SAP Analytics Cloud

Social amp Video

Email audio

geospatial etc

Cloud

Datastores


Example Scenario




SAP HANA or BW4HANA





data





Hadoop

(HDFS)

SAP

HANA

SA

P D

ata

Hu

b

Con

sole

3rd

Par

ty

SA

P P

A

Spa

rk

Sca

la

Pyt

hon

SA

P A

naly

tics

Clo

ud

STREAM

COPY

BATCH

JOIN

FILTER

CLEANSE

LOCK-UP

SCRIPT

MASK

ANONYMIZE

PARSE

Store amp Process

LOAD

EXTRACT

FEDERATE

TRANSFORM

Master Data

Master Data

MODEL

SAP

VORA

SA

P H

AN

A o

r

BW

4H

AN

A

Orchestration amp

Data RefiningAccess













Thanks


Contact information










warranty













wwwsapcomcontactsap

Follow us


Knows weather

conditions

Communicates

with pilots

Knows

passenger lists

Schedules

all takeoffs

Knows traffic


Knows crews

passengers

destinations

Orchestrates

landing strip

Monitors airport

activities

Influences ground

processes

Oversees all types

of vehicles

Leverages different

tools technologies





SAP Data Hub

Data Governance


Analytics BW hellip

Distributed Runtime


SAP HANA

SAP HANA

Integration


Cloud Data

Integration

ABAP

Integration


protocols)

Cloud Storages

Hadoop HDFS

Databases

3rd party apps

Streaming (eg IoT)

Public Clouds

SCI for process

integration

SAP Event Bus

SAP API

Business Hub

REST APIs

Workflow

Business

Apps

Business

Services

BW Process

Chains

Data Services

JobsHANA

Flowgraphs


SAP BW





Product Insight


Architecture








environments






Deployment Options


installations

managed cloud

Kubernetes service

full service
















Extensible

Standard operators


Wrap custom code

Scalable

Distributed

Containerized

Production-Ready

Manage


Observe

Re-Usability


Read the

product reviews

from HDFS

Load the

sentiment

analysis results

in SAP Vora

Parse the file

and perform

sentiment

analysis





Data Science amp

ML Data Management



DISCOVER


REFINE


GOVERN


ORCHESTRATE



SAP Data Hub

SAP

BW4HANA

SAP HANA

Data

Lake

SAP Analytics Cloud

Social amp Video

Email audio

geospatial etc

Cloud

Datastores


Example Scenario




SAP HANA or BW4HANA





data





Hadoop

(HDFS)

SAP

HANA

SA

P D

ata

Hu

b

Con

sole

3rd

Par

ty

SA

P P

A

Spa

rk

Sca

la

Pyt

hon

SA

P A

naly

tics

Clo

ud

STREAM

COPY

BATCH

JOIN

FILTER

CLEANSE

LOCK-UP

SCRIPT

MASK

ANONYMIZE

PARSE

Store amp Process

LOAD

EXTRACT

FEDERATE

TRANSFORM

Master Data

Master Data

MODEL

SAP

VORA

SA

P H

AN

A o

r

BW

4H

AN

A

Orchestration amp

Data RefiningAccess













Thanks


Contact information










warranty













wwwsapcomcontactsap

Follow us




SAP Data Hub

Data Governance


Analytics BW hellip

Distributed Runtime


SAP HANA

SAP HANA

Integration


Cloud Data

Integration

ABAP

Integration


protocols)

Cloud Storages

Hadoop HDFS

Databases

3rd party apps

Streaming (eg IoT)

Public Clouds

SCI for process

integration

SAP Event Bus

SAP API

Business Hub

REST APIs

Workflow

Business

Apps

Business

Services

BW Process

Chains

Data Services

JobsHANA

Flowgraphs


SAP BW





Product Insight


Architecture








environments






Deployment Options


installations

managed cloud

Kubernetes service

full service
















Extensible

Standard operators


Wrap custom code

Scalable

Distributed

Containerized

Production-Ready

Manage


Observe

Re-Usability


Read the

product reviews

from HDFS

Load the

sentiment

analysis results

in SAP Vora

Parse the file

and perform

sentiment

analysis





Data Science amp

ML Data Management



DISCOVER


REFINE


GOVERN


ORCHESTRATE



SAP Data Hub

SAP

BW4HANA

SAP HANA

Data

Lake

SAP Analytics Cloud

Social amp Video

Email audio

geospatial etc

Cloud

Datastores


Example Scenario




SAP HANA or BW4HANA





data





Hadoop

(HDFS)

SAP

HANA

SA

P D

ata

Hu

b

Con

sole

3rd

Par

ty

SA

P P

A

Spa

rk

Sca

la

Pyt

hon

SA

P A

naly

tics

Clo

ud

STREAM

COPY

BATCH

JOIN

FILTER

CLEANSE

LOCK-UP

SCRIPT

MASK

ANONYMIZE

PARSE

Store amp Process

LOAD

EXTRACT

FEDERATE

TRANSFORM

Master Data

Master Data

MODEL

SAP

VORA

SA

P H

AN

A o

r

BW

4H

AN

A

Orchestration amp

Data RefiningAccess













Thanks


Contact information










warranty













wwwsapcomcontactsap

Follow us

Product Insight


Architecture








environments






Deployment Options


installations

managed cloud

Kubernetes service

full service
















Extensible

Standard operators


Wrap custom code

Scalable

Distributed

Containerized

Production-Ready

Manage


Observe

Re-Usability


Read the

product reviews

from HDFS

Load the

sentiment

analysis results

in SAP Vora

Parse the file

and perform

sentiment

analysis





Data Science amp

ML Data Management



DISCOVER


REFINE


GOVERN


ORCHESTRATE



SAP Data Hub

SAP

BW4HANA

SAP HANA

Data

Lake

SAP Analytics Cloud

Social amp Video

Email audio

geospatial etc

Cloud

Datastores


Example Scenario




SAP HANA or BW4HANA





data





Hadoop

(HDFS)

SAP

HANA

SA

P D

ata

Hu

b

Con

sole

3rd

Par

ty

SA

P P

A

Spa

rk

Sca

la

Pyt

hon

SA

P A

naly

tics

Clo

ud

STREAM

COPY

BATCH

JOIN

FILTER

CLEANSE

LOCK-UP

SCRIPT

MASK

ANONYMIZE

PARSE

Store amp Process

LOAD

EXTRACT

FEDERATE

TRANSFORM

Master Data

Master Data

MODEL

SAP

VORA

SA

P H

AN

A o

r

BW

4H

AN

A

Orchestration amp

Data RefiningAccess













Thanks


Contact information










warranty













wwwsapcomcontactsap

Follow us


Architecture








environments






Deployment Options


installations

managed cloud

Kubernetes service

full service
















Extensible

Standard operators


Wrap custom code

Scalable

Distributed

Containerized

Production-Ready

Manage


Observe

Re-Usability


Read the

product reviews

from HDFS

Load the

sentiment

analysis results

in SAP Vora

Parse the file

and perform

sentiment

analysis





Data Science amp

ML Data Management



DISCOVER


REFINE


GOVERN


ORCHESTRATE



SAP Data Hub

SAP

BW4HANA

SAP HANA

Data

Lake

SAP Analytics Cloud

Social amp Video

Email audio

geospatial etc

Cloud

Datastores


Example Scenario




SAP HANA or BW4HANA





data





Hadoop

(HDFS)

SAP

HANA

SA

P D

ata

Hu

b

Con

sole

3rd

Par

ty

SA

P P

A

Spa

rk

Sca

la

Pyt

hon

SA

P A

naly

tics

Clo

ud

STREAM

COPY

BATCH

JOIN

FILTER

CLEANSE

LOCK-UP

SCRIPT

MASK

ANONYMIZE

PARSE

Store amp Process

LOAD

EXTRACT

FEDERATE

TRANSFORM

Master Data

Master Data

MODEL

SAP

VORA

SA

P H

AN

A o

r

BW

4H

AN

A

Orchestration amp

Data RefiningAccess













Thanks


Contact information










warranty













wwwsapcomcontactsap

Follow us


Deployment Options


installations

managed cloud

Kubernetes service

full service
















Extensible

Standard operators


Wrap custom code

Scalable

Distributed

Containerized

Production-Ready

Manage


Observe

Re-Usability


Read the

product reviews

from HDFS

Load the

sentiment

analysis results

in SAP Vora

Parse the file

and perform

sentiment

analysis





Data Science amp

ML Data Management



DISCOVER


REFINE


GOVERN


ORCHESTRATE



SAP Data Hub

SAP

BW4HANA

SAP HANA

Data

Lake

SAP Analytics Cloud

Social amp Video

Email audio

geospatial etc

Cloud

Datastores


Example Scenario




SAP HANA or BW4HANA





data





Hadoop

(HDFS)

SAP

HANA

SA

P D

ata

Hu

b

Con

sole

3rd

Par

ty

SA

P P

A

Spa

rk

Sca

la

Pyt

hon

SA

P A

naly

tics

Clo

ud

STREAM

COPY

BATCH

JOIN

FILTER

CLEANSE

LOCK-UP

SCRIPT

MASK

ANONYMIZE

PARSE

Store amp Process

LOAD

EXTRACT

FEDERATE

TRANSFORM

Master Data

Master Data

MODEL

SAP

VORA

SA

P H

AN

A o

r

BW

4H

AN

A

Orchestration amp

Data RefiningAccess













Thanks


Contact information










warranty













wwwsapcomcontactsap

Follow us













Extensible

Standard operators


Wrap custom code

Scalable

Distributed

Containerized

Production-Ready

Manage


Observe

Re-Usability


Read the

product reviews

from HDFS

Load the

sentiment

analysis results

in SAP Vora

Parse the file

and perform

sentiment

analysis





Data Science amp

ML Data Management



DISCOVER


REFINE


GOVERN


ORCHESTRATE



SAP Data Hub

SAP

BW4HANA

SAP HANA

Data

Lake

SAP Analytics Cloud

Social amp Video

Email audio

geospatial etc

Cloud

Datastores


Example Scenario




SAP HANA or BW4HANA





data





Hadoop

(HDFS)

SAP

HANA

SA

P D

ata

Hu

b

Con

sole

3rd

Par

ty

SA

P P

A

Spa

rk

Sca

la

Pyt

hon

SA

P A

naly

tics

Clo

ud

STREAM

COPY

BATCH

JOIN

FILTER

CLEANSE

LOCK-UP

SCRIPT

MASK

ANONYMIZE

PARSE

Store amp Process

LOAD

EXTRACT

FEDERATE

TRANSFORM

Master Data

Master Data

MODEL

SAP

VORA

SA

P H

AN

A o

r

BW

4H

AN

A

Orchestration amp

Data RefiningAccess













Thanks


Contact information










warranty













wwwsapcomcontactsap

Follow us





Data Science amp

ML Data Management



DISCOVER


REFINE


GOVERN


ORCHESTRATE



SAP Data Hub

SAP

BW4HANA

SAP HANA

Data

Lake

SAP Analytics Cloud

Social amp Video

Email audio

geospatial etc

Cloud

Datastores


Example Scenario




SAP HANA or BW4HANA





data





Hadoop

(HDFS)

SAP

HANA

SA

P D

ata

Hu

b

Con

sole

3rd

Par

ty

SA

P P

A

Spa

rk

Sca

la

Pyt

hon

SA

P A

naly

tics

Clo

ud

STREAM

COPY

BATCH

JOIN

FILTER

CLEANSE

LOCK-UP

SCRIPT

MASK

ANONYMIZE

PARSE

Store amp Process

LOAD

EXTRACT

FEDERATE

TRANSFORM

Master Data

Master Data

MODEL

SAP

VORA

SA

P H

AN

A o

r

BW

4H

AN

A

Orchestration amp

Data RefiningAccess













Thanks


Contact information










warranty













wwwsapcomcontactsap

Follow us


DISCOVER


REFINE


GOVERN


ORCHESTRATE



SAP Data Hub

SAP

BW4HANA

SAP HANA

Data

Lake

SAP Analytics Cloud

Social amp Video

Email audio

geospatial etc

Cloud

Datastores


Example Scenario




SAP HANA or BW4HANA





data





Hadoop

(HDFS)

SAP

HANA

SA

P D

ata

Hu

b

Con

sole

3rd

Par

ty

SA

P P

A

Spa

rk

Sca

la

Pyt

hon

SA

P A

naly

tics

Clo

ud

STREAM

COPY

BATCH

JOIN

FILTER

CLEANSE

LOCK-UP

SCRIPT

MASK

ANONYMIZE

PARSE

Store amp Process

LOAD

EXTRACT

FEDERATE

TRANSFORM

Master Data

Master Data

MODEL

SAP

VORA

SA

P H

AN

A o

r

BW

4H

AN

A

Orchestration amp

Data RefiningAccess













Thanks


Contact information










warranty













wwwsapcomcontactsap

Follow us


Example Scenario




SAP HANA or BW4HANA





data





Hadoop

(HDFS)

SAP

HANA

SA

P D

ata

Hu

b

Con

sole

3rd

Par

ty

SA

P P

A

Spa

rk

Sca

la

Pyt

hon

SA

P A

naly

tics

Clo

ud

STREAM

COPY

BATCH

JOIN

FILTER

CLEANSE

LOCK-UP

SCRIPT

MASK

ANONYMIZE

PARSE

Store amp Process

LOAD

EXTRACT

FEDERATE

TRANSFORM

Master Data

Master Data

MODEL

SAP

VORA

SA

P H

AN

A o

r

BW

4H

AN

A

Orchestration amp

Data RefiningAccess













Thanks


Contact information










warranty













wwwsapcomcontactsap

Follow us













Thanks


Contact information










warranty













wwwsapcomcontactsap

Follow us










warranty













wwwsapcomcontactsap

Follow us

SAP Data Hub · 2019-05-29 · Scenario: Enrich product data in SAP BW with social product...

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Transcript of SAP Data Hub · 2019-05-29 · Scenario: Enrich product data in SAP BW with social product...