WHY SAP Real Time Data Platform - RTDP

1. Big Data in Real-Time
Uğur CANDAN
SAP Turkey - Chief Operating Officer
@ugurcandan
ugurcandan.net

2. Youtube
in-memory database
© 2011 SAP AG. All rights reserved.
2

3. © 2011 SAP AG. All rights reserved.
3

4. © 2011 SAP AG. All rights reserved.
4

5. © 2011 SAP AG. All rights reserved.
5

6. © 2011 SAP AG. All rights reserved.
6

7. © 2011 SAP AG. All rights reserved.
7

8. © 2011 SAP AG. All rights reserved.
8

9. © 2011 SAP AG. All rights reserved.
9

10. © 2011 SAP AG. All rights reserved.
10

11. © 2011 SAP AG. All rights reserved.
11

12. © 2011 SAP AG. All rights reserved.
12

13. © 2011 SAP AG. All rights reserved.
13

14. © 2011 SAP AG. All rights reserved.
14

15. © 2011 SAP AG. All rights reserved.
15

16. © 2011 SAP AG. All rights reserved.
16

17. © 2011 SAP AG. All rights reserved.
17

18. © 2011 SAP AG. All rights reserved.
18

19. © 2011 SAP AG. All rights reserved.
19

20. © 2011 SAP AG. All rights reserved.
20

21. © 2011 SAP AG. All rights reserved.
21

22. Technology today requires tradeoff
A breakthrough in today’s information processing architecture is needed
DEEP
Complex & interactive questions
on granular data
OR
HIGH SPEED
Fast response-time,
interactivity
DEEP
Complex & interactive questions
on granular data
HIGH SPEED
BROAD
Fast response-time,
interactivity
Big data,
many data types
SIMPLE
No data preparation,
no pre-aggregates,
no tuning
© 2011 SAP AG. All rights reserved.
REAL -TIME
Recent data, preferably realtime
SIMPLE
No data preparation,
no pre-aggregates,
no tuning
22

23. SAP HANA Platform – More than just a database
Any Apps
SAP Business Suite
Any App Server
Supports
any Device
and BW ABAP App Server
SQL
MDX
R
JSON
Open Connectivity
SAP HANA Platform
SQL, SQLScript, JavaScript
Spatial
Search
Text Mining
Stored Procedure
& Data Models
Application & UI
Services
Business Function
Library
Predictive
Analysis Library
Database
Services
Planning Engine
Rules Engine
Integration Services
Transaction
Unstructured
Machine
HADOOP
Real-time
Locations
Other Apps
SAP HANA Platform Converges Database, Data Processing and Application Platform
Capabilities & Provides Libraries for Predictive, Planning, Text, Spatial, and Business
Analytics to enable business to operate in real-time.
© 2011 SAP AG. All rights reserved.
23

24. Dünyanın en büyük in-memory veritabanı sistemi – Santa Clara, CA
250 HANA sunucusu | 250TB Ana Bellek | 10,000 x86 Core
© 2011 SAP AG. All rights reserved.
24

25. Breakthrough solutions from startups & ISVs
A single platform powering next generation of applications
nexvisionix
DRIVING ADOPTION
RECENT PROJECTS

Platform to imagine new generation of applications

Industry solutions - Healthcare, Capital Markets

Simple consumption model – lowering barriers to entry

Consumer and enterprise applications

Rapid commercialization of innovation

www.startups.saphana.com (700+ Startups & ISVs)
© 2011 SAP AG. All rights reserved.
25

26. Predictive Analytics & Machine Learning
Transforming the Future with Insight Today
Hadoop/ Sybase IQ,
Sybase ASE, Teradata
SAP HANA
KNN
classification
Regression
Main Memory
C4.5
decision tree
K-means
Virtual Tables
SQL Script
Optimized Query Plan
Spatial, Machine,
Text Analysis
Real-time data
PAL
R-scripts
ABC
classification
Weighted score
tables
Associate
analysis:
market basket
R-Engine
Spatial Data
Unstructured
HANA Studio/AFM,
Apps & Tools
Accelerate predictive analysis and
scoring with in-database algorithms
delivered out-of-the-box.
Adapt the models frequently
© 2011 SAP AG. All rights reserved.
Execute R commands as part of
overall query plan by transferring
intermediate DB tables directly to R
as vector-oriented data structures
Predictive analytics across multiple
data types and sources.
(e.g.: Unstructured Text, Geospatial,
Hadoop)
26

27. Innovation Previously Infeasible
Predict and analyzes game player behavior in real-time
Real-time insights, analysis,
and consumer engagement
for increased revenue and
decreased churn
© 2011 SAP AG. All rights reserved.
27

28. Simplicity Previously Unachievable
eBay Early Signal Detection System powered by Predictive Analytics
Automated signal
detection system to
proactively respond to
real-time market
dynamics
© 2011 SAP AG. All rights reserved.
28

29. Product: Agile Datamart
Yodobashi - POS Data Analizi
Business Challenges
250 million POS
 Lack of real-time insights into POS data make it difficult to create effective,
tailored sales promotions and marketing campaigns
sales order line items
 Need shorter response time for customer segmentation to plan sales
campaigns
10-12 minute
Technical Challenges
sales campaign
planning (not
possible before)
 Inability to process big data (billions) POS records quickly because of high
latency and static reporting
 Shop floor staff not able to access relevant information on-the-fly, with iPad
Benefits
100,000x faster
sales analysis – from
3 days to 2-3
seconds
© 2011 SAP AG. All rights reserved.
 Real-time insights into POS data improve customer satisfaction and
merchandising
 Dynamic personalized offerings while customer is at store or on web site
29

30. 12,000 Staff with
3,200 pure scientist,
650,000 patients/year,
1,4 B€ revenue
500,000 data
points from each
cancer patient.
Instant patient data
analysis during
treatment

31. Mitsui Knowledge Industry
Healthcare industry – Cancer cell genomic analysis
408,000x faster
than traditional diskbased systems in
technical PoC
216x faster DNA
analysis results from 2,5 days to 20
minutes
© 2011 SAP AG. All rights reserved.
31

32. Thank you