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PUBLIC Michael Probst & Thomas Bitterle Solution Advisors, SAP Switzerland C3 & C4: Hands-on SAP Data Intelligence Platform

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PUBLIC

Michael Probst & Thomas Bitterle

Solution Advisors, SAP Switzerland

C3 & C4: Hands-on SAP Data Intelligence Platform

2CUSTOMER© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ

• Introduction

• Overview Recap

• Hands-On Exercises

• Next Steps

• Technical Academy

Agenda – Übersicht SAP Data Intelligence und Hands-On

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Gaining intelligence is a difficult challenge in today’s landscapesGaining intelligence is an isolated operation as well although it should be a continuous process

Identify

Data Preprocessing Model Management

Deployment & Operations

Cloud

Datastores

Applications

Databases

Data

WarehousesThird-Party Data

Databases

Image

Processing

Data

Ingestion

Streaming

Analytics

Data Masking

Data

IntegrationMachine

Learning

Graph

processing

Time Series

Geospatial

processing

Data

Ingestion

Data

Replication

ELT

Metadata

Management

Machine Learning Scenario

Connection / Storage

Management

Data Discovery

Data Processing

Model

Creation

Model Validation

Model Training

Automation & Maintenance

Integration into Application

Model Deployment

ETL

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Building Data Driven Applications with Intelligence

SAP Data Hub

SAP Data Intelligence

Intelligent

Applications

On-premise & public cloud

• Discover, refine, govern, orchestrate

any type, variety, and volume of data

across your distributed data

landscape

• Focuses on complex data

orchestration & pipelining

Cloud Service on SAP Cloud Platform

• Includes all SAP Data Hub

functionality

• Additional capabilities by GA

− Jupyter Notebook integration

− Scenario manager to manage and deploy

ML models

− Operations cockpit – manage and monitor

execution

Feature Parity between

SAP Data Hub OP &

SAP Data Intelligence cloud

• Product update frequency

− Cloud updates once a quarter

− OP updates twice a year

Today Tomorrow

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Technical OverviewBuilding blocks

Exis t ing Systems

Data Discovery and

Metadata Governance

Orchestration & Data

Pipeline

Connectivity,

Integration, Ingestion

Hadoop

Cloud Storage

Machine Learning

Data Hub

Runtime

Dist r ibuted Data Systems

SAP

HANASAP ERP

SAP S/4HANA

SAP BW/4HANA

SAP Data Hub

Enterprise and 3rd

party connectivity

Holistic data landscape

Flow-based

data processing

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DEMO

Hands-on Exercises

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Technical Academy - Scope

Metadata

Explorer

1

SAP VORA

Modeler

Sentiment

Analysis

2

JOIN

3

VORA Tools

Monitoring

4

5

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Welcome to the SAP Data Intelligence Hands-On

digital handout https://tinyurl.com/SAP-DI

Credentials

Tenant: default

Username: TA##

Password: Welcome01

SAP Data Hub Access

https://ip-35-157-82-121.sapdatahub.com:9086

Session Exercise Task

C31 METADATA EXPLORER

2 EXTRACT PRODUCT REVIEWS AND PERFORM SENTIMENT ANALYSIS ON THEM

C4

3 COMBINE SENTIMENT ANALYSIS DATA WITH PRODUCT DATA

4 CHART THE RESULTS

5 MONITOR THE EXECUTION OF THE SCHEDULE

BREAK

Use Case Discussion & Classification

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IoT Ingestion and

Orchestration

Data Science and

Machine Learning

Data WarehousingBusiness Application Transformation

Transform IoT event

streams into

enterprise-ready

data, and derive

actionable insights

Streamline data science

and machine learning,

from modeling and

development to

operations, across all

enterprise data assets

Build a multifaceted

data warehouse,

across diverse and

distributed data assets

Streamline innovation

initiatives around

Business Applications,

supporting enterprise

transformation programs

• Predictive maintenance

• Manufacturing product

as-a-service

• Intelligent logistics

• Customer churn prediction

• Intelligent document

processing

• Image object detection &

recognition

• Customer 360 view

• Marketing campaign

effectiveness

• Renewable energy

production simulation

• Customer Risk Intelligence

with S/4 HANA Cloud

• Timesheet Analytics with

Fieldglass

Use SAP Data Intelligence to reimagine your business processes using …

App

SAP

HANA

Data Lake

Data

Streams

SAP Data

Intelligence

SAP Data Intelligence

Data Lake

Machine

Learning

Data

Science

App

App

SAP Data

Intelligence

Analytics Cloud

SAP

HANAData Lake

SAP

BW4/HSAP Data Intelligence

S/4SAP Cloud

Apps

Advanced

Analytics

Intelligent

Processes

Next Steps

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Next Steps

Find out more about

SAP Data Hub

sap.com/datahub

Try SAP Data Hub,

developer edition

Try SAP Data Hub,

Trial edition

Take free

SAP Data Hub CourseRead State of Big Data Report

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https://www.rheinwerk-

verlag.de/introducing-sap-data-

hub_4723/

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https://open.sap.com/courses/ds0

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More information

Related SAP TechEd Learning Journeys

▪ AIN2 – Transform your business processes with intelligent technologies

▪ DAT3 – Tame data challenges

Related SAP TechEd sessions

▪ DAT302 – Introduction to SAP Data Intelligence and SAP Data Hub

▪ DAT103 – The Data Management Strategy from SAP

▪ DAT363 – Create and Manage End-to-End Data Pipelines with SAP Data Hub

▪ DAT162 – Metadata Exploration and Self-Service Data Preparation with SAP Data Hub

▪ DAT202 – SAP Data Hub - Data Integration with Enterprise Applications

▪ DAT361 – Integrating SAP S/4HANA into SAP Data Hub: Deep Dive and Hands On

▪ DAT108 – Integrating SAP S/4HANA into SAP Data Hub: Overview and Use Cases

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Questions & Answers

Kontakt:

Vielen Dank!!

Michael Probst

Solution Advisor

M. +41 79 277 72 43

E. [email protected]

Thomas Bitterle

Solution Advisor

M. +41 79 173 59 93

E. [email protected]