Today’s businesses are embracing Hybrid Data Ecosystems to meet the evolving needs of Big Data projects. But how big is Big data? What types of data make Big Data? And what does it mean to the operations of your business and the technical drivers behind your organization’s need for a Big Data strategy?

1. Which of the following data
sources are being used, or
planned for use, in your Big Data
project?
What Types of
Process
mediated
data
Machine
generated
data
Human-
sourced
information
31% 24% 45%
Limitationsin
currentplatform
Fasterspeed DataVariety
Ahybrid ecosystem is a flexible, data management environment that can
meet the evolving needs of business users and Big Data projects.
Find out how SAP can help you implement a real-time data platform to address your Big Data
needs. Visit www.sap.com/realtime_data for more information.
Require access to internal and external multistructured
data sets
Require faster processing of structured or multi
structured data sets
Require faster reaction to complex event
processing (CEP) platforms
Current platform scaling limits
Need access to deep transaction data from point
of sale and website clickstream platforms
17%
17%
15%
39%
12%
Whatpartofyour infrastructure are youfocusedonfirstto
What is a
hybrid data ecosystem?
42%
38%
36%
Theultimategoalofreal-timedrivenBigDataanalytics
istoenable organizationstotakeactionatthespeedof
theirbusiness.
Real-time Actionable Insight
On a daily basis, how
much data (operational
or analytical) does your
organization load,
process, analyze,
persist?
Less than 1 Terabytes
1 up to 10 Terabytes
10 up to 50 Terabytes
50 up to 100 Terabytes
100 up to 250 Terabytes
250 up to 500 Terabytes
500 up to 750 Terabytes
750 Terabytes up to 1 Petabyte
1 up to 5 Petabytes
5 up to 10 Petabytes
10 Petabytes or more 2%
2%
4%
5%
7%
10%
19%
18%
15%
8%
1%
How is
Big Data?
Data make Big Data?
What are the
technical drivers
behind a
Big Data
Strategy?
Whatare theprimarytechnicaldriversbehindyour
organization’sneedfora
Big Data strategy?
Primary Operational Platform
Primary Analytic Platform
Complementary Analytic Platform
Exploratory Environment
Complementary Operational Platform
36%
37%
Today, many businesses are embracing a Hybrid Data
Ecosystem to meet the evolving needs of Big Data projects.
The Road to
Real-Time: Internetof Things
The
accommodate Big Data?
Operational
Platforms
Data
Warehouse
DataMart
Discovery
Platform
NoSQL
Platforms
Cloudbased
platforms
Analytical
Platforms
Hadoop
Economics
Load
Structure
Complex
workload
Response
Requirements
Structured data generated from
business processes.
Machine-generated data (e.g.
click-stream, sensor)
Human-sourced data (e.g. social
media, image, audio, unstructured
documents)
Operational efficiencies
Better business decisions
Improved total cost of ownership
In-Memory/Realtime
SAPHANA
Open EDWHigh Performance
OLTP
Stream Analytics
Mobile &
Embedded
HadoopHadoop
Big DataBig Data
Information and Real-time Data Movement
CommonProgrammingAPIs
IntegratedSystems
ManagementandLandscape
IntegratedModelingand
Metadata
SAP Real-Time Data Platform
Benefitsderivedfrom
SAP Real-Time Data Platform