SAP FORUM İSTANBUL
Gelecek Bugün
Konuşmacı Adı : Mustafa Kutlu
Firma Adı : SAP Türkiye
Big Data Management with SAP
© 2013 SAP AG. All rights reserved. 2
Gündem
Big Data Drivers
 Importance of Big Data
 Big Data Signals
Big Data Momentu...
Big Data Drivers
CRM Data
Transactions
Things
Instant Messages
Demand
Opportunities
Customer
Inventory
Big Data
Sales Order
Things
Mobile
C...
Most
established
KPIs, too
10%
75%
Use Analytics
today
Need Analytics
by 2020
$2.01B
Annual revenue increase possibility i...
© 2013 SAP AG. All rights reserved. 6
When we really need
to be looking for what’s now and what’s next
What if you could turn
new signals into business value?
:-)
Brand Sentiment
360O Customer View
Product
Recommendation
Prop...
Big Data Momentum at SAP
© 2013 SAP AG. All rights reserved. 9
Big Data momentum at SAP
Business Objects
Acquisition
Sybase Acquisition
SAP HANA as...
© 2013 SAP AG. All rights reserved. 10
Next generation SAP Real-time Data Platform
3rd Party
BI Client
SAP NetWeaver (On P...
© 2013 SAP AG. All rights reserved. 11
Present
Process
Store
Capture
A Comprehensive “End-to-End” Approach is Needed
Acros...
CAPTURE
© 2013 SAP AG. All rights reserved. 13
SAP ERP, SAP CRM,
SAP MDG and MDM,
SAP NetWeaver BW,
…and non-SAP systems too!
BAPI...
© 2013 SAP AG. All rights reserved. 14
Market-leading, unified solution
for enterprise-class data
integration and data qua...
© 2013 SAP AG. All rights reserved. 15
SAP Sybase Replication Server
© 2013 SAP AG. All rights reserved. 16
• Combines advantages of customized application with ease of visual data flow
diagr...
STORE & PROCESS
© 2013 SAP AG. All rights reserved. 18
SAP HANA
…disk-centric computing is
causing major bottleneck
…dictating complex dev...
© 2013 SAP AG. All rights reserved. 19
Yesterday Today
Disk
Partitioning
Insert Only on Delta Compression
Row and Column S...
© 2013 SAP AG. All rights reserved. 20
Real-time analytics
SAP Business Suite Third-party systems
SAP HANA
Microsoft
Excel...
© 2013 SAP AG. All rights reserved. 21
Platform-
agnostic:
Linux, Unix,
and Windows
Schema-
independent:
3NF, Star, and fl...
© 2013 SAP AG. All rights reserved. 22
SAP Sybase IQ 16: engine
Multiplexgridarchitecture
Adminandmonitoringframework
Stor...
© 2013 SAP AG. All rights reserved. 23
Virtual data marts (VDM):
• VDM is logical binding of mutually exclusive nodes, mem...
PRESENT
© 2013 SAP AG. All rights reserved. 25
SAP LUMIRA
In place
filtering
within
charts
Create trellis
charts with
simple drag-...
© 2013 SAP AG. All rights reserved. 26
Visualize, discover, and share hidden insights
Advanced visualization designed whe...
© 2013 SAP AG. All rights reserved. 27
SAP PREDICTIVE ANALYSIS
Teşekkürler!
İletişim Bilgileri:
Mustafa Kutlu
Çözüm Yöneticisi
mustafa.kutlu@sap.com
Upcoming SlideShare
Loading in …5
×

SAP - SAP ÇÖZÜMLERİYLE BÜYÜK VERİ YÖNETİMİ - SAP Forum 2013

589 views
490 views

Published on

“Büyük Veri” büyük dert olmaktan çıkıyor. SAP çözümleriyle verilerinizi yönetin, “Büyük Veri”yi fırsata dönüştürün.

Published in: Technology
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
589
On SlideShare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
31
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide

SAP - SAP ÇÖZÜMLERİYLE BÜYÜK VERİ YÖNETİMİ - SAP Forum 2013

  1. 1. SAP FORUM İSTANBUL Gelecek Bugün Konuşmacı Adı : Mustafa Kutlu Firma Adı : SAP Türkiye Big Data Management with SAP
  2. 2. © 2013 SAP AG. All rights reserved. 2 Gündem Big Data Drivers  Importance of Big Data  Big Data Signals Big Data Momentum at SAP  SAP Real Time Data Platform Key Solutions in SAP Big Data Approach
  3. 3. Big Data Drivers
  4. 4. CRM Data Transactions Things Instant Messages Demand Opportunities Customer Inventory Big Data Sales Order Things Mobile Customer Planning Big Data CRM Data Transactions ThingsInstant Messages Demand Opportunities Customer Inventory Big Data Sales Order Things Mobile Planning Are you harnessing the opportunity?
  5. 5. Most established KPIs, too 10% 75% Use Analytics today Need Analytics by 2020 $2.01B Annual revenue increase possibility if the median Fortune 1000 business increased the usability of its data by just 10% 1,000% Return on investment for every $1 spent on analytics Nucleus Research, Gartner, Fortune Magazine Companies are missing new signals
  6. 6. © 2013 SAP AG. All rights reserved. 6 When we really need to be looking for what’s now and what’s next
  7. 7. What if you could turn new signals into business value? :-) Brand Sentiment 360O Customer View Product Recommendation Propensity to Churn Real-time Demand/ Supply Forecast Predictive Maintenance Fraud Detection Network Optimization Insider Threats Risk Mitigation, Real-timeAsset Tracking Personalized Care
  8. 8. Big Data Momentum at SAP
  9. 9. © 2013 SAP AG. All rights reserved. 9 Big Data momentum at SAP Business Objects Acquisition Sybase Acquisition SAP HANA as a database for all data SAP NetWeaver BW on SAP HANA SAP Lumira Big Data mobile apps Big Data partner apps Big Data services Big Data platform SAP HANA as a data warehouse 2013 2014 and beyond Suite on SAP HANA SAP HANA as a platform SAP HANA Cloud SAP Lumira, SAP Lumira Cloud Big Data packages
  10. 10. © 2013 SAP AG. All rights reserved. 10 Next generation SAP Real-time Data Platform 3rd Party BI Client SAP NetWeaver (On Premise / Cloud) Custom Apps SAP Business Suite SAP Business Warehouse SAP Big Data Applications SAP Analytics SAP Mobile Open Developer APIs and Protocols CommonLandscapeManagement SAP Smart Data Services Platform SAP HANA Platform SAP Real-time Data Platform SAP Sybase ASE CommonModeling SybasePowerDesigner HADOOP 3rdPartyDB MPP Scale-Out SAP Sybase SQLA SAP Sybase ESP SAP Sybase IQ SAP Sybase Replication Server SAP Data Services SAP MDG, MDM SAP innovation without customer disruption
  11. 11. © 2013 SAP AG. All rights reserved. 11 Present Process Store Capture A Comprehensive “End-to-End” Approach is Needed Across all Classes of Data Customer Data Automobiles Machine Data Smart Meter Point of Sale Mobile Structured Data Click Stream Social Network Location- based Data Text Data IMHO, it’s great! RFID
  12. 12. CAPTURE
  13. 13. © 2013 SAP AG. All rights reserved. 13 SAP ERP, SAP CRM, SAP MDG and MDM, SAP NetWeaver BW, …and non-SAP systems too! BAPIs / IDocs / Web Services Impact Analysis Data Lineage DataProfiling Data Services Engine Text Data Processing Data Validation Data Cleansing, Enrichment Files, XML, HTML, Mainframe, Excel, text, etc. Sybase, HANA, Oracle, SQL, DB2, HADOOP PeopleSoft, Oracle Apps, Siebel, SFDC, etc SAP CRM, SAP ERP, SAP NetWeaver, SAP BusinessOne SuccessFactors Query, Reporting, Analysis, and Dashboards Data Migration, Synchronization, Consolidation, … HANA, BW, Sybase 4.1 SAP Data Services
  14. 14. © 2013 SAP AG. All rights reserved. 14 Market-leading, unified solution for enterprise-class data integration and data quality Single, easy-to-use user interface to build, test and deploy projects Connect, transform and make the information available from virtually any source, structured and unstructured Comprehensive data quality solution for cleansing and enriching all types of data Scalable solution for high data volumes with high throughput (batch and real-time) SAP Data Services is a “LEADER” in Data Integration and Data Quality Gartner Magic Quadrants SAP has 6500+ customers on our Data Integration and Data Quality solutions “ SAP Data Services
  15. 15. © 2013 SAP AG. All rights reserved. 15 SAP Sybase Replication Server
  16. 16. © 2013 SAP AG. All rights reserved. 16 • Combines advantages of customized application with ease of visual data flow diagramming or SQL • Incoming data is processed as it arrives, according to the model rules and operations • Publish streaming results to other models, apps, message bus, dashboard, etc. ? Input Streams PUBLISH Market Data Orders, Trades Console Input Reporting Tools Trading Systems Visual / SQL Authoring Reference Data SAP HANA / Sybase IQ Dashboards Message Bus Output Streams SUBSCRIBE SAP Sybase Event Stream Processor
  17. 17. STORE & PROCESS
  18. 18. © 2013 SAP AG. All rights reserved. 18 SAP HANA …disk-centric computing is causing major bottleneck …dictating complex development paradigms …imposing in-efficient deployment architectures …forcing in-effective user experience Disk Storage I/O Bottleneck
  19. 19. © 2013 SAP AG. All rights reserved. 19 Yesterday Today Disk Partitioning Insert Only on Delta Compression Row and Column Store No aggregatesMemory + + + + Memory Logging and Backup – Solid State / Flash / HDD CPU Multi-Core Massively Parallel SingleOptimized Platform 64-bit address space supports 100+TB RAM 100GB/s throughput Software and data reside on HDD • IO constraint • Support many platforms • Optimized for None • Take advantage of latest advances in hardware • Minimum IO time • Optimized for x86 platform Disk CPU + SAP HANA
  20. 20. © 2013 SAP AG. All rights reserved. 20 Real-time analytics SAP Business Suite Third-party systems SAP HANA Microsoft Excel SAP Business Objects solutions Others…(Open) Geo - Spatial Compression Real-time apps In-memory database Planning and Calculation Engine R & Hadoop integration Predictive Analysis & Business Function Libraries SAP Applications Information Composer & Modeling Studio Text Search Application Services (e.g. HTML 5 Server) SAP HANA
  21. 21. © 2013 SAP AG. All rights reserved. 21 Platform- agnostic: Linux, Unix, and Windows Schema- independent: 3NF, Star, and flat files Standard connectivity: ODBC, JDBC, OLE-DB, PERL, And PYTHON, PHP Standard language: ANSI SQL Outside: Standards-based, open interfaces enable best-of-breed ecosystem Inside: Architected from the ground up for high- performance analytics Grid-based column store Fast, complex queries High-performance data loads Storage and user scalability Nonrelational data support STORE SAP Sybase IQ
  22. 22. © 2013 SAP AG. All rights reserved. 22 SAP Sybase IQ 16: engine Multiplexgridarchitecture Adminandmonitoringframework Storage area network Communications and security Column indexing subsystem Loading engine Column storage processor Query engine In-database analytics Hadoop Web-enabled analytics Informationlifecyclemanagement SAP Sybase IQ
  23. 23. © 2013 SAP AG. All rights reserved. 23 Virtual data marts (VDM): • VDM is logical binding of mutually exclusive nodes, memory, and storage: – Logical server (LS) is a mutually exclusive logical binding of nodes and memory – Logical server (LS) is a subset of VDM – Bindings are elastic – they can dynamically grow and shrink • VDM works via login permission control • VDM can isolate applications, workload, user communities • Distributed query processing (DQP) within VDM boundaries only Full-mesh, high-speed interconnect (SAN) fabric VDM1 VDM2 Shared Virtual shared storage Virtual shared CPU and memory Logical server 1 Logical server 2 SAP Sybase IQ
  24. 24. PRESENT
  25. 25. © 2013 SAP AG. All rights reserved. 25 SAP LUMIRA In place filtering within charts Create trellis charts with simple drag- drop
  26. 26. © 2013 SAP AG. All rights reserved. 26 Visualize, discover, and share hidden insights Advanced visualization designed where you’d expect it – natively from within the modeling tool Share insights via PMML and with other BI client tools SAP PREDICTIVE ANALYSIS
  27. 27. © 2013 SAP AG. All rights reserved. 27 SAP PREDICTIVE ANALYSIS
  28. 28. Teşekkürler! İletişim Bilgileri: Mustafa Kutlu Çözüm Yöneticisi mustafa.kutlu@sap.com

×