PUBLIC
Virtualize your data to embraceunified real-time analyticsSabrina Bussolotti, Data Architect & Analytics
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Today’s disruptors are Insight-Driven
Organizations that provide people with the insight they need to make better decisions, and
enable them to act, will disrupt and deliver growth and innovation
DATA INFORMATION INSIGHT ACTION VALUE
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Is your organization Insight-Driven?
Research shows that insight-driven decisions
are crucial to digital transformation.
“A new kind of company, we call them insight-
driven businesses, has formed.
They are growing at an average of 30% annually,
and are on track to earn $1.8 trillion by 2021.”
Forrester Research, 2017
Insight-Driven Businesses set the pace for Global Growth
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What are your users demanding to meet today’s business challenges?
Will the Data Warehouse be able to meet high customer and data demands?
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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Move Data Vs. Move Analytics
Require much time.
Datawarehouse store cold data
instead near-real-time analytics
Bring Analytics to Data Instead move Data to Analytics
DATA
APP
APP
APP
APP
APP
Complexity & Effort insead
semplification
Require continues & constant
investment
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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
ResultsSAP Data HubSAP
BW/4 HANA
SAP
Cloud Platform
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• Run historical comparisons and trend analyses
• Build an harmonization Layer
SAP BW/4HANA is an Harmonization Layer
Extend Embedded Analytics
SAP BW/4HANASAP “ERP"
SAP HANA Platform
SAP Analytics
III Party DataIII Party DB
III Party APP
Machine
Generated Data
• Complement embedded analytics
• Break silos with enterprise data warehousing
Cloud Data
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SAP S/4HANA is about agility and real-time
then the last thing you want is being slowed down by older data
Use SAP BW/4HANA as corporate memory
X
Nodes
SAP S/4HANA SAP BW/4HANA
Distribute Transaction Manager
Harmonized Data Access
SAP BW/4HANA & SAP S/4HANA Together is Better
Virtual Access
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SAP BW/4HANA: Content Overview
• Uses new SAP BW/4HANA
features
• Follows the LSA++ architecture
• Delivered Content offers more
flexibility in data acquisition and
reporting
• Provides higher level of detail
(line items, …)
Quality
Management
Master Data
Business Area
Industries: Utilities
Sales &
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl.
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl.
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling
Master DataSales
Statistics
Energy Data
Management
Real Estate
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SAP BW/4HANA overview
Slow to deliver
insights or deal with
larger/faster data
• Process and
data silos
• Misaligned &
competing KPIs
• Antiquated UI
and applications
• Business drives
Shadow IT
• Time and cost
intensive
• Discord between
Business and IT
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SAP BW/4HANA overview
High Performance
• Reduce data handling
wait time
• Improve decision-
automation
Processing push-down
Fast loading & processing
No aggregates, roll-ups
• Reduce data
integration Cost
• Reduce ETL spend
• Reduce infrastructure
costs
Openness
Mixed scenarios with
HANA native DW
All data types
On-prem and Cloud
• Speed up change requests
• Reduce implementation
time
• Reduce development
spend
Simplicity
Simplified Models
Simplified data flows
Simplified data tiering
Modern Interface
• Improve business user
productivity
• Reduce shadow analytics
• Improve user adoption
Modern analytics
Visual modelling
Modern administration
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Openness: Comprehensive access to all data
SAP BW/4HANA simplifies data integration, offering comprehensive access to external systems
▪ Number of Source System types reduced from 10 to 4
▪ Replicate data in real-time (HANA SDI based replication or via ODP – especially with ODP-SLT)
▪ Access data virtually
▪ Load data using optimizedprocessing
data
load
SAP HANA
HANA Source
System
Extractors
ODQ
direct
access
real-time
replication
RDBMS
/HadoopText
StructuredSocial Media
EmailSLT ABAP
CDS
BW Business
ByDesign
SAP BW/4HANA
HIVE SPARK VORA
Hadoop
ODP Source SystemBig Data Source
SystemFile Source System
SAP EIM
Non-SAP Data SAP Data
File
Big Data File
SAP ERP, ECC, ASE, HANA,
and other SAP applications
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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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SAP BW/4HANA: A simpler, faster, and more agile data warehouse
Built on HANA Engine!
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*
S A P H A N A + S A P B W / 4 H A N A
DATA WAREHOUSING
Analytic Services
Open Interfaces Business Planning & Consolidation
Services *
Data Modeling Objects & Services
Modeling ToolsData Warehousing
Services
Data Acquisition Services
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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
HAP InfoProvider
SAP HANAR-Script
Procedure
AFL
SAP BW/4HANA
Source Transform Target
InfoProviderInfoProvider
/View
HAP
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SAP BW/4HANA – Simplified Data Structures – Simplified Modeling
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 – Simplified Data Flows
From Layered Scalable Architecture (LSA) to LSA++
SAP BW/4HANA (LSA++)
Service Level
Classic SAP BW (LSA)
Staging Layer/Corporate Memory
Propagation Layer
Architected Data Marts
Virtualization
mandatorylayers
mandatory layer
top
do
wn
mo
de
llin
g
bo
tto
m u
p m
od
elli
ng
Virtualization/ Virtual Data Marts
Architected Data Marts
Source
Staging Layer/ Corporate Memory
Open ODS Layer/ Raw DWH
Propagation Layer/ Integrated DWH
top
do
wn
mo
de
llin
g
optionallayers depending on business needs and required service level
Source
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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
Custom
Calculation
Views
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SAP BW/4HANA – Simplified Data Aging Process
SAP HANA Extension Nodes SAP IQ
Hadoop
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
▪ Consistent approach for
hot, warm and cold data
▪ Allocate temperature by
partition
▪ Displace data
automatically between hot,
warm and cold storage
▪ Reporting is seamless,
users unaffected
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SAP BW/4HANA – New User Interface for Developers & Administrators
SAP BW/4HANA Modelling Tools
integrated with SAP HANA Studio (Eclipse)
SAP BW/4HANA Cockpit
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Classic SAP BW
on any database
SAP BW/4HANA
Fresh installation
System consolidationBW on AnyDBBW on AnyDBClassic SAP BW
on any database
Easy conversion to SAP BW/4HANA
Classic SAP BW
on any database
Classic SAP BW
on any database
Remote conversion
In-place conversion
SAP BW on
SAP HANA
SAP BW/4HANA
Starter Add-on
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SAP BW/4HANA – In-memory & VIRTUAL 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
Thank you.
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