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PUBLIC Gordon Witzel Product Management May 2018 Modern Data Warehousing with SAP BW/4HANA

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Page 1: Modern Data Warehousing with SAP BW/4HANAsapevents.be/Cubis-a/1_1 SAP BW4HANA.pdf · SAP BW 7.0 or higher on Any DB In-Place Conversion Remote Conversion SAP BW/4HANA SAP BW SAP BW

PUBLIC

Gordon Witzel

Product Management

May 2018

Modern Data Warehousing with SAP BW/4HANA

Page 2: Modern Data Warehousing with SAP BW/4HANAsapevents.be/Cubis-a/1_1 SAP BW4HANA.pdf · SAP BW 7.0 or higher on Any DB In-Place Conversion Remote Conversion SAP BW/4HANA SAP BW SAP BW

SAP BW/4HANA 1.0, SP8

Page 3: Modern Data Warehousing with SAP BW/4HANAsapevents.be/Cubis-a/1_1 SAP BW4HANA.pdf · SAP BW 7.0 or higher on Any DB In-Place Conversion Remote Conversion SAP BW/4HANA SAP BW SAP BW

3PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ

3rd Party BI

SAP BW/4HANA: Architecture

SAP

BW/4HANA

Modelling

Tools

SAP BW/4HANA Server

Meta Data

Manager

Analytical

Engine

Data

Warehousing

Workspaces

SAP HANA Platform

Data-

base

Smart

Data

Integration

Smart

Data

Access

Calc.

Engine

SAP Sources

3rd Party

Sources

Key Features

• Lean application server

• Runs exclusively on

SAP HANA

• SAP BW/4HANA

Modeling Tools as

integrated development

environment

• No Java stack required

• Choice of analytics

solutions

• On-premise or in the

cloud deployment

optionsETL Tools

Open Hub

Service

Operational

Data

Provisioning

Data Lake

SAP BusinessObjects

SAP Analytics Cloud

Page 4: Modern Data Warehousing with SAP BW/4HANAsapevents.be/Cubis-a/1_1 SAP BW4HANA.pdf · SAP BW 7.0 or higher on Any DB In-Place Conversion Remote Conversion SAP BW/4HANA SAP BW SAP BW

4PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC

SAP BW/4HANA - Simplifications

Simplified models Simplified Data Flows Comprehensive access to all data

• Number of Modelling object types

reduced from 10 to 4

• Field or InfoObject based Modelling

• Support for external, structured and

unstructured data

• Reduced data layers

• Business and service level driven

• Report at any layer

with speed and flexibility

• Easier access to all information

• Work with HANA in BW mode, or in native

SQL mode, or both

• Load data using optimized

processing

Virtualization, Virtual Data Marts

Open ODS Layer/

Raw DWH

Propagation Layer/

Integrated DW

Source

mandatory

layer

optional layers

depending on

required

business and

service level

HANA Source

SystemODP Source System

Big Data Source

SystemFile Source System

SAP EIM

SAP BW/4HANA

SAP BW/4HANA

real-time

replication

direct

access

data

load

SAP Data Big Data FileNon-SAP Data

Text Email

Social Media Structured

RDBMS

/Hadoop

File

ODQ

Extractors SLTABAP

CDS

BWBusiness

ByDesign

Hadoop

HIVE SPARK VORA

MultiProvider1

CompositeProvider3

Transient Provider5

PSA Table9

Hybrid Provider8

InfoSet2

Virtual Provider4

DataStore Object7

InfoCube6

CompositeProvider1

Open ODS View2

3

InfoObject4

Classic SAP BW

Virtu

aliz

atio

nP

ers

iste

ncy

SAP BW/4HANA

InfoObject10

advanced DataStore Object

Architectured

Data Marts

Staging Layer/

Corporate Memory

Service Level

Page 5: Modern Data Warehousing with SAP BW/4HANAsapevents.be/Cubis-a/1_1 SAP BW4HANA.pdf · SAP BW 7.0 or higher on Any DB In-Place Conversion Remote Conversion SAP BW/4HANA SAP BW SAP BW

5PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ

Developer User Interface – Introducing the new Dataflow Modeller

Modern Interface: Faster to Learn, Easier to Use

Page 6: Modern Data Warehousing with SAP BW/4HANAsapevents.be/Cubis-a/1_1 SAP BW4HANA.pdf · SAP BW 7.0 or higher on Any DB In-Place Conversion Remote Conversion SAP BW/4HANA SAP BW SAP BW

6PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ

Modern UI: SAP BW/4HANA Modeling Tools in Eclipse

Unified UI for all BW/4HANA Modeling (requires

BW Modeling Tools Version 1.19)

New Data Transfer Process Editor

• Integrated with Data Flow Modeler

• Full DTP functionality

New Transformation Editor

• Integration with Data Flow Modeler

• All transformation capabilities

Page 7: Modern Data Warehousing with SAP BW/4HANAsapevents.be/Cubis-a/1_1 SAP BW4HANA.pdf · SAP BW 7.0 or higher on Any DB In-Place Conversion Remote Conversion SAP BW/4HANA SAP BW SAP BW

7PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ

Modern UI: SAP BW/4HANA Web Administration Tools

SAP BW/4HANA Cockpit – single entry point

for administration and monitoring

• Access to Process Chain Modeler and

monitors for Process Chain status and

statistics

• Management of data loads for ADSOs and

InfoObjects

• Fiori launchpad – easy to configure and

personalize

• Access from any device

Page 8: Modern Data Warehousing with SAP BW/4HANAsapevents.be/Cubis-a/1_1 SAP BW4HANA.pdf · SAP BW 7.0 or higher on Any DB In-Place Conversion Remote Conversion SAP BW/4HANA SAP BW SAP BW

8PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ

Modern UI: SAP BW/4HANA Web Administration Tools

Process Chain Modeler and Monitor

• State-of-the-art modeling UI

• Intuitive, comprehensive monitoring tool

for detailed error analysis and recovery

Page 9: Modern Data Warehousing with SAP BW/4HANAsapevents.be/Cubis-a/1_1 SAP BW4HANA.pdf · SAP BW 7.0 or higher on Any DB In-Place Conversion Remote Conversion SAP BW/4HANA SAP BW SAP BW

9PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ

One concept for hot, warm and cold data

• Data Tiering based on Advanced DataStore Object Partitions

• Partition Temperature as local setting (no transport)

• Using HANA Technology such as SDA, Scale Out and disk

storage in SAP IQ

Easy and central definition and implementation

• Data Temperature defined in Advanced DataStore Object only

• No additional configuration of Data Archiving Processes

Displacement of data as simple and periodic housekeeping activity

• Single data tiering optimization job that periodically moves data to defined storages

• No complex process chain modeling for data archiving

Non-disruptive approach and protection of past investments

• Seamless conversion or co-existence with existing SAP BW NLS IQ / Hadoop approach as of sharing some central technical concepts for cold data storage

SAP BW/4HANA – Data Tiering Optimization

Page 10: Modern Data Warehousing with SAP BW/4HANAsapevents.be/Cubis-a/1_1 SAP BW4HANA.pdf · SAP BW 7.0 or higher on Any DB In-Place Conversion Remote Conversion SAP BW/4HANA SAP BW SAP BW

10PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ

New Storage Options

• Support for cold storage in SAP HANA

Vora (disk engine)

• Support for cold storage in the

Hadoop File System (HDFS)

• Support for multiple extension nodes

Simplicity: Simplifying Data Lifecycle Management

Page 11: Modern Data Warehousing with SAP BW/4HANAsapevents.be/Cubis-a/1_1 SAP BW4HANA.pdf · SAP BW 7.0 or higher on Any DB In-Place Conversion Remote Conversion SAP BW/4HANA SAP BW SAP BW

SAP BW/4HANA and SAP Data Hub

Page 12: Modern Data Warehousing with SAP BW/4HANAsapevents.be/Cubis-a/1_1 SAP BW4HANA.pdf · SAP BW 7.0 or higher on Any DB In-Place Conversion Remote Conversion SAP BW/4HANA SAP BW SAP BW

12PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ

Business scenario: Analyzing Web Log Data with Data Warehouse

Hadoop

(HDFS)

SAP

HANA

SA

P D

ata

Hu

b

Co

nso

le

3rd

Pa

rty

SA

P P

A / S

pa

rk

Sca

la / P

yth

on

SA

P A

na

lytics C

lou

d

STREAM

COPY

BATCH

JOIN

FILTER

CLEANSE

LOCK-UP

SCRIPT

MASK

ANYMONIZE

PARSE

Store & Process

LOAD

EXTRACT

FEDERATE

TRANSFORM

Master Data

Master Data

MODELLING Combine refined big data with enterprise

data and corporate master data

Extract or federate data into

SAP BW/4HANA

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

SAP

VORA

Example Scenario

SA

P B

W/4

HA

NA

OrchestrateAccess

Page 13: Modern Data Warehousing with SAP BW/4HANAsapevents.be/Cubis-a/1_1 SAP BW4HANA.pdf · SAP BW 7.0 or higher on Any DB In-Place Conversion Remote Conversion SAP BW/4HANA SAP BW SAP BW

Conversion

Page 14: Modern Data Warehousing with SAP BW/4HANAsapevents.be/Cubis-a/1_1 SAP BW4HANA.pdf · SAP BW 7.0 or higher on Any DB In-Place Conversion Remote Conversion SAP BW/4HANA SAP BW SAP BW

14PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ

Paths to SAP BW/4HANA

BW-on-xDB

Classic SAP BW

on any database

SAP BW 7.5

powered by

SAP HANA

SAP BW 7.5

on SAP HANA+ SAP BW/4HANA Starter

Add-On

SAP BW/4HANA

New System

BW-on-xDB

Greenfield

Classic SAP BW

on any database

System Carve Out / Brownfield

Path 2b: Remote Conversion

Path 2a: In-place Conversion / Full System Conversion

Path 1: New Install

Path 3: Landscape Transformation

Classic SAP BW

on any database

System Consolidation

Accelerated Greenfield

Path 2c: Shell ConversionClassic SAP BW

on any database

Page 15: Modern Data Warehousing with SAP BW/4HANAsapevents.be/Cubis-a/1_1 SAP BW4HANA.pdf · SAP BW 7.0 or higher on Any DB In-Place Conversion Remote Conversion SAP BW/4HANA SAP BW SAP BW

15PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ

SAP BW/4HANA Conversion

▪ Full system conversion of an existing SAP BW

installation (keep same SID)

▪ Step-by-step in-place transfer of classic objects into

their HANA-optimized counterparts

▪ Followed by a system conversion to

SAP BW/4HANA

▪ Minimum start release:

SAP BW 7.5 SP 5 powered by SAP HANA

▪ Start with SAP BW/4HANA as green field installation

(new SID)

▪ Support of carve-out and consolidation scenarios

▪ Transport data models and remote data transfer

(including Unicode conversion)

▪ Risk mitigation due to parallel system

▪ Minimum start release:

SAP BW 7.0 or higher on Any DB

In-Place

ConversionRemote

Conversion

SAP BW/4HANA

SAP BW SAP BW SAP BW/4HANA

Shell

ConversionSAP BW SAP BW/4HANA

▪ Similar to Remote Conversion but without data transfer

▪ Accelerate greenfield approach by transferring and converting data

models and flows

▪ Minimum start release: SAP BW 7.0 or higher on Any DB

Page 16: Modern Data Warehousing with SAP BW/4HANAsapevents.be/Cubis-a/1_1 SAP BW4HANA.pdf · SAP BW 7.0 or higher on Any DB In-Place Conversion Remote Conversion SAP BW/4HANA SAP BW SAP BW

SAP BW/4HANA 1.0, SP8 Demo

Page 17: Modern Data Warehousing with SAP BW/4HANAsapevents.be/Cubis-a/1_1 SAP BW4HANA.pdf · SAP BW 7.0 or higher on Any DB In-Place Conversion Remote Conversion SAP BW/4HANA SAP BW SAP BW

Product Roadmap

SimplicityOpenness Modern InterfaceHigh Performance

Page 18: Modern Data Warehousing with SAP BW/4HANAsapevents.be/Cubis-a/1_1 SAP BW4HANA.pdf · SAP BW 7.0 or higher on Any DB In-Place Conversion Remote Conversion SAP BW/4HANA SAP BW SAP BW

18PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ

SAP BW/4HANA Roadmap – Delivered InnovationsDelivered with Feature Pack 4 in Q2/2017

* Delivered with

BW4CONT SP02,

in Q2 2017

** Delivered with

BW4CONT SP03,

in Q3 2017

*** Delivered with

BW4CONT SP04,

in Q4 2017

Simplicity

Modern Interface

Openness

High Performance

Data Tiering Optimization (DTO)

Unified concept covering hot, warm and cold data

Based on partitioning- and temperature definition

Automatic data placement to extension nodes or NLS (SAP IQ)

SAP BPC 11.0 support

SAP BW/4HANA optimized Business Content

AM: Plant Maintenance * and Customer Service **, FI: Financial

Statement**, CO: Overhead Projects incl. Networks***

Big Data / Data Lake

SAP Vora support for Big Data Source System

Enhanced SAP HANA EIM Integration

Delta and real time streaming support for HANA native tables

(including deletions)

Interoperability with SAP HANA Native DW Approach

HANA native DataStore object (NDSO) integration with

Open ODS View and DataSource

SAP BW/4HANA Modeling Tools

Enhanced creation wizard for DataSources (incl. NDSO support)

Source System editor

Query with reference to base query

SAP Analytics Cloud Live Connection

Further Push-down of OLAP Capabilities

Exception aggregation incl. currency and

unit conversion

Page 19: Modern Data Warehousing with SAP BW/4HANAsapevents.be/Cubis-a/1_1 SAP BW4HANA.pdf · SAP BW 7.0 or higher on Any DB In-Place Conversion Remote Conversion SAP BW/4HANA SAP BW SAP BW

19PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ

SAP BW/4HANA Roadmap – Delivered InnovationsDelivered with Feature Pack 8 in Q1/2018

Simplicity

Modern Interface

Openness

High PerformanceSAP BW/4HANA Modeling Tools

Transformation and DTP maintenance

Flat file DataSource

Planning tools (data slice, planning sequence)

Document store

Web-based Administration & Monitoring

Process chain maintenance

SAP BW/4 Cockpit

Enhanced Master Data Loads

Further Query Parallelization

Query Execution Mode Optimizer

Big Data / Data Lake – Integration with SAP Data Hub

Process and Data Integration between SAP BW/4HANA and

SAP Data Hub

SAP BW/4 Metadata API for SAP Data Hub

Data Tiering Optimization (DTO)

Support for cold storage in SAP HANA Vora (disk engine)

and Hadoop

API for temperature maintenance to enable data tiering

automation implementation

Support for multiple extension nodes

: https://www.sap.com/community/topic/bw4hana.html

Page 20: Modern Data Warehousing with SAP BW/4HANAsapevents.be/Cubis-a/1_1 SAP BW4HANA.pdf · SAP BW 7.0 or higher on Any DB In-Place Conversion Remote Conversion SAP BW/4HANA SAP BW SAP BW

20PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ

SAP BW/4HANA Roadmap – Planned InnovationsFeature Pack Planned for End of 2018/2019

This presentation is not subject to your license agreement or any other agreement with SAP. SAP has no obligation to pursue any course of business outlined in this presentation or to develop or release any functionality mentioned in this presentation. This presentation and SAP's strategy and possible future developments are subject to change and may be changed by SAP at any time for any

reason without notice. This document 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. SAP assumes no responsibility for errors or omissions in this document, except if such damages were caused by SAP intentionally or grossly negligent.

Simplicity

Modern Interface

Openness

High Performance

Integration with SAP Cloud Solutions

SAP SuccessFactors, SAP Ariba and SAP Cloud for Customers

Data Tiering Optimization (DTO)

Supporting updates to cold data (external storage)

Enhanced data tiering automation

Support of inventory ADSOs

Big Data / Data Lake – Integration with SAP Data Hub

Metadata integration & governance enabling lineage/impact analysis

Simplified SAP BW/4HANA data acquisition in SAP Data Hub

SAP Cloud Platform (SCP) API Hub

Availability of SAP BW/4HANA APIs

Interoperability with SAP HANA Native DW Approach

SAP HANA view generation for Open ODS Views

SAP HANA Development Infrastructure (HDI) support

SAP Cloud Platform Integration (CPI) and Process Integration (PI)

interface to SAP BW/4HANAWeb-based Administration & Monitoring

DTO temperature maintenance cockpit

SAP BW/4HANA Modeling Tools

Mass-modeling for objects in Data Flow and Semantic Group

members

Planning tools (planning functions)

Data Flow Documentation Generation (HTML)

Further Push-down of OLAP Capabilities

Conditions (having, ranking, …)

Stock coverage

Current member

Page 21: Modern Data Warehousing with SAP BW/4HANAsapevents.be/Cubis-a/1_1 SAP BW4HANA.pdf · SAP BW 7.0 or higher on Any DB In-Place Conversion Remote Conversion SAP BW/4HANA SAP BW SAP BW

21PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ

SAP BW/4HANA Roadmap – Product Direction2019 and Beyond

This presentation is not subject to your license agreement or any other agreement with SAP. SAP has no obligation to pursue any course of business outlined in this presentation or to develop or release any functionality mentioned in this presentation. This presentation and SAP's strategy and possible future developments are subject to change and may be changed by SAP at any time for any

reason without notice. This document 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. SAP assumes no responsibility for errors or omissions in this document, except if such damages were caused by SAP intentionally or grossly negligent.

Simplicity

Modern Interface

Openness

High Performance

Enhanced SAP BW/4HANA Cloud Offering

Additional deployment options

Enhanced service offering

Data Tiering Optimization (DTO)

Support for several external storage destinations

Further cold storage options based on SAP Vora and Hadoop

System Health Monitoring and Prediction

Machine-learning Based DW Administration

Big Data / Data Lake – Integration with SAP Data Hub

Repository interoperability between SAP BW/4HANA and

SAP Data Hub (common transports & improved impact analysis)

Open Hub Modernization

Leveraging new SAP HANA engine capabilities for

analytics and transformations

Page 22: Modern Data Warehousing with SAP BW/4HANAsapevents.be/Cubis-a/1_1 SAP BW4HANA.pdf · SAP BW 7.0 or higher on Any DB In-Place Conversion Remote Conversion SAP BW/4HANA SAP BW SAP BW

Contact:

Gordon Witzel

Product Management

[email protected]

Thanks.

Page 23: Modern Data Warehousing with SAP BW/4HANAsapevents.be/Cubis-a/1_1 SAP BW4HANA.pdf · SAP BW 7.0 or higher on Any DB In-Place Conversion Remote Conversion SAP BW/4HANA SAP BW SAP BW

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 SE’s or its affiliated companies’ strategy and possible future developments, products, and

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

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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

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© 2018 SAP SE or an SAP affiliate company. All rights reserved.