Enviar búsqueda
Cargar
SAP HANA SPS09 - Dynamic Tiering
•
0 recomendaciones
•
7,073 vistas
SAP Technology
Seguir
SAP HANA SPS09- What's new? SAP HANA Modeling
Leer menos
Leer más
Tecnología
Denunciar
Compartir
Denunciar
Compartir
1 de 38
Descargar ahora
Descargar para leer sin conexión
Recomendados
What's New in SPS11 Overview
What's New in SPS11 Overview
SAP Technology
SAP HANA SPS10- Workload Management
SAP HANA SPS10- Workload Management
SAP Technology
What's New for SAP HANA Smart Data Integration & Smart Data Quality
What's New for SAP HANA Smart Data Integration & Smart Data Quality
SAP Technology
HANA SPS07 Smart Data Access
HANA SPS07 Smart Data Access
SAP Technology
SAP HANA SPS10- Backup/Recovery
SAP HANA SPS10- Backup/Recovery
SAP Technology
SAP HANA SPS09 - HANA IM Services
SAP HANA SPS09 - HANA IM Services
SAP Technology
What's New in SAP HANA SPS 11 Backup and Recovery (Operations)
What's New in SAP HANA SPS 11 Backup and Recovery (Operations)
SAP Technology
What's new on SAP HANA Smart Data Access
What's new on SAP HANA Smart Data Access
SAP Technology
Recomendados
What's New in SPS11 Overview
What's New in SPS11 Overview
SAP Technology
SAP HANA SPS10- Workload Management
SAP HANA SPS10- Workload Management
SAP Technology
What's New for SAP HANA Smart Data Integration & Smart Data Quality
What's New for SAP HANA Smart Data Integration & Smart Data Quality
SAP Technology
HANA SPS07 Smart Data Access
HANA SPS07 Smart Data Access
SAP Technology
SAP HANA SPS10- Backup/Recovery
SAP HANA SPS10- Backup/Recovery
SAP Technology
SAP HANA SPS09 - HANA IM Services
SAP HANA SPS09 - HANA IM Services
SAP Technology
What's New in SAP HANA SPS 11 Backup and Recovery (Operations)
What's New in SAP HANA SPS 11 Backup and Recovery (Operations)
SAP Technology
What's new on SAP HANA Smart Data Access
What's new on SAP HANA Smart Data Access
SAP Technology
SAP HANA SPS10- Security
SAP HANA SPS10- Security
SAP Technology
SAP HANA SPS09 - SAP HANA Scalability
SAP HANA SPS09 - SAP HANA Scalability
SAP Technology
What's new for SAP HANA SPS 11 Dynamic Tiering
What's new for SAP HANA SPS 11 Dynamic Tiering
SAP Technology
SAP HANA SPS10- Scale-Out, High Availability and Disaster Recovery
SAP HANA SPS10- Scale-Out, High Availability and Disaster Recovery
SAP Technology
What's new for Text in SAP HANA SPS 11
What's new for Text in SAP HANA SPS 11
SAP Technology
SAP HANA SPS10- SAP HANA Dynamic Tiering
SAP HANA SPS10- SAP HANA Dynamic Tiering
SAP Technology
SAP HANA SPS10- SAP HANA Remote Data Sync
SAP HANA SPS10- SAP HANA Remote Data Sync
SAP Technology
SAP HANA SPS09 - Multitenant Database Containers
SAP HANA SPS09 - Multitenant Database Containers
SAP Technology
Why SAP HANA?
Why SAP HANA?
SAP Technology
What's new for Spatial in SAP HANA SPS 11
What's new for Spatial in SAP HANA SPS 11
SAP Technology
What's Planned for SAP HANA SPS10
What's Planned for SAP HANA SPS10
SAP Technology
SAP HANA SPS1- SAP HANA Hardware Platforms
SAP HANA SPS1- SAP HANA Hardware Platforms
SAP Technology
SAP HANA SPS10- Enterprise Information Management
SAP HANA SPS10- Enterprise Information Management
SAP Technology
SAP HANA SPS10- Text Analysis & Text Mining
SAP HANA SPS10- Text Analysis & Text Mining
SAP Technology
SAP HANA SPS10- Multitenant Database Containers
SAP HANA SPS10- Multitenant Database Containers
SAP Technology
Spark Usage in Enterprise Business Operations
Spark Usage in Enterprise Business Operations
SAP Technology
Leveraging SAP, Hadoop, and Big Data to Redefine Business
Leveraging SAP, Hadoop, and Big Data to Redefine Business
DataWorks Summit
What's New in SAP HANA SPS 11 DB Control Center (Operations)
What's New in SAP HANA SPS 11 DB Control Center (Operations)
SAP Technology
SAP HANA SPS09- Administration Monitoring
SAP HANA SPS09- Administration Monitoring
SAP Technology
SAP HANA SPS09 - Smart Data Streaming
SAP HANA SPS09 - Smart Data Streaming
SAP Technology
SQLAnywhere 16.0 and Odata
SQLAnywhere 16.0 and Odata
SAP Technology
What's New in SAP HANA SPS 11 Mission Critical Data Center Operations
What's New in SAP HANA SPS 11 Mission Critical Data Center Operations
SAP Technology
Más contenido relacionado
La actualidad más candente
SAP HANA SPS10- Security
SAP HANA SPS10- Security
SAP Technology
SAP HANA SPS09 - SAP HANA Scalability
SAP HANA SPS09 - SAP HANA Scalability
SAP Technology
What's new for SAP HANA SPS 11 Dynamic Tiering
What's new for SAP HANA SPS 11 Dynamic Tiering
SAP Technology
SAP HANA SPS10- Scale-Out, High Availability and Disaster Recovery
SAP HANA SPS10- Scale-Out, High Availability and Disaster Recovery
SAP Technology
What's new for Text in SAP HANA SPS 11
What's new for Text in SAP HANA SPS 11
SAP Technology
SAP HANA SPS10- SAP HANA Dynamic Tiering
SAP HANA SPS10- SAP HANA Dynamic Tiering
SAP Technology
SAP HANA SPS10- SAP HANA Remote Data Sync
SAP HANA SPS10- SAP HANA Remote Data Sync
SAP Technology
SAP HANA SPS09 - Multitenant Database Containers
SAP HANA SPS09 - Multitenant Database Containers
SAP Technology
Why SAP HANA?
Why SAP HANA?
SAP Technology
What's new for Spatial in SAP HANA SPS 11
What's new for Spatial in SAP HANA SPS 11
SAP Technology
What's Planned for SAP HANA SPS10
What's Planned for SAP HANA SPS10
SAP Technology
SAP HANA SPS1- SAP HANA Hardware Platforms
SAP HANA SPS1- SAP HANA Hardware Platforms
SAP Technology
SAP HANA SPS10- Enterprise Information Management
SAP HANA SPS10- Enterprise Information Management
SAP Technology
SAP HANA SPS10- Text Analysis & Text Mining
SAP HANA SPS10- Text Analysis & Text Mining
SAP Technology
SAP HANA SPS10- Multitenant Database Containers
SAP HANA SPS10- Multitenant Database Containers
SAP Technology
Spark Usage in Enterprise Business Operations
Spark Usage in Enterprise Business Operations
SAP Technology
Leveraging SAP, Hadoop, and Big Data to Redefine Business
Leveraging SAP, Hadoop, and Big Data to Redefine Business
DataWorks Summit
What's New in SAP HANA SPS 11 DB Control Center (Operations)
What's New in SAP HANA SPS 11 DB Control Center (Operations)
SAP Technology
SAP HANA SPS09- Administration Monitoring
SAP HANA SPS09- Administration Monitoring
SAP Technology
SAP HANA SPS09 - Smart Data Streaming
SAP HANA SPS09 - Smart Data Streaming
SAP Technology
La actualidad más candente
(20)
SAP HANA SPS10- Security
SAP HANA SPS10- Security
SAP HANA SPS09 - SAP HANA Scalability
SAP HANA SPS09 - SAP HANA Scalability
What's new for SAP HANA SPS 11 Dynamic Tiering
What's new for SAP HANA SPS 11 Dynamic Tiering
SAP HANA SPS10- Scale-Out, High Availability and Disaster Recovery
SAP HANA SPS10- Scale-Out, High Availability and Disaster Recovery
What's new for Text in SAP HANA SPS 11
What's new for Text in SAP HANA SPS 11
SAP HANA SPS10- SAP HANA Dynamic Tiering
SAP HANA SPS10- SAP HANA Dynamic Tiering
SAP HANA SPS10- SAP HANA Remote Data Sync
SAP HANA SPS10- SAP HANA Remote Data Sync
SAP HANA SPS09 - Multitenant Database Containers
SAP HANA SPS09 - Multitenant Database Containers
Why SAP HANA?
Why SAP HANA?
What's new for Spatial in SAP HANA SPS 11
What's new for Spatial in SAP HANA SPS 11
What's Planned for SAP HANA SPS10
What's Planned for SAP HANA SPS10
SAP HANA SPS1- SAP HANA Hardware Platforms
SAP HANA SPS1- SAP HANA Hardware Platforms
SAP HANA SPS10- Enterprise Information Management
SAP HANA SPS10- Enterprise Information Management
SAP HANA SPS10- Text Analysis & Text Mining
SAP HANA SPS10- Text Analysis & Text Mining
SAP HANA SPS10- Multitenant Database Containers
SAP HANA SPS10- Multitenant Database Containers
Spark Usage in Enterprise Business Operations
Spark Usage in Enterprise Business Operations
Leveraging SAP, Hadoop, and Big Data to Redefine Business
Leveraging SAP, Hadoop, and Big Data to Redefine Business
What's New in SAP HANA SPS 11 DB Control Center (Operations)
What's New in SAP HANA SPS 11 DB Control Center (Operations)
SAP HANA SPS09- Administration Monitoring
SAP HANA SPS09- Administration Monitoring
SAP HANA SPS09 - Smart Data Streaming
SAP HANA SPS09 - Smart Data Streaming
Destacado
SQLAnywhere 16.0 and Odata
SQLAnywhere 16.0 and Odata
SAP Technology
What's New in SAP HANA SPS 11 Mission Critical Data Center Operations
What's New in SAP HANA SPS 11 Mission Critical Data Center Operations
SAP Technology
What's New in SAP HANA SPS 11 Application Lifecycle Management
What's New in SAP HANA SPS 11 Application Lifecycle Management
SAP Technology
Deployment and Development approaches for the ISV using PowerBuilder and SQL ...
Deployment and Development approaches for the ISV using PowerBuilder and SQL ...
SAP Technology
Building ISV Applications that run in the cloud with SQL Anywhere On-Demand E...
Building ISV Applications that run in the cloud with SQL Anywhere On-Demand E...
SAP Technology
Maximizing Database Tuning in SAP SQL Anywhere
Maximizing Database Tuning in SAP SQL Anywhere
SAP Technology
SQL Anywhere Tips and Tricks
SQL Anywhere Tips and Tricks
SAP Technology
Big Data, Big Thinking: Simplified Architecture Webinar Fact Sheet
Big Data, Big Thinking: Simplified Architecture Webinar Fact Sheet
SAP Technology
SAP HANA SPS09 - SAP HANA Answers
SAP HANA SPS09 - SAP HANA Answers
SAP Technology
SAP HANA SPS09 - Full-text Search
SAP HANA SPS09 - Full-text Search
SAP Technology
Big Data, Big Thinking: Untapped Opportunities
Big Data, Big Thinking: Untapped Opportunities
SAP Technology
What's New in SAP HANA SPS 11 Platform Lifecycle Management (Operations)
What's New in SAP HANA SPS 11 Platform Lifecycle Management (Operations)
SAP Technology
Enterprise Information Management
Enterprise Information Management
SAP Technology
Destacado
(13)
SQLAnywhere 16.0 and Odata
SQLAnywhere 16.0 and Odata
What's New in SAP HANA SPS 11 Mission Critical Data Center Operations
What's New in SAP HANA SPS 11 Mission Critical Data Center Operations
What's New in SAP HANA SPS 11 Application Lifecycle Management
What's New in SAP HANA SPS 11 Application Lifecycle Management
Deployment and Development approaches for the ISV using PowerBuilder and SQL ...
Deployment and Development approaches for the ISV using PowerBuilder and SQL ...
Building ISV Applications that run in the cloud with SQL Anywhere On-Demand E...
Building ISV Applications that run in the cloud with SQL Anywhere On-Demand E...
Maximizing Database Tuning in SAP SQL Anywhere
Maximizing Database Tuning in SAP SQL Anywhere
SQL Anywhere Tips and Tricks
SQL Anywhere Tips and Tricks
Big Data, Big Thinking: Simplified Architecture Webinar Fact Sheet
Big Data, Big Thinking: Simplified Architecture Webinar Fact Sheet
SAP HANA SPS09 - SAP HANA Answers
SAP HANA SPS09 - SAP HANA Answers
SAP HANA SPS09 - Full-text Search
SAP HANA SPS09 - Full-text Search
Big Data, Big Thinking: Untapped Opportunities
Big Data, Big Thinking: Untapped Opportunities
What's New in SAP HANA SPS 11 Platform Lifecycle Management (Operations)
What's New in SAP HANA SPS 11 Platform Lifecycle Management (Operations)
Enterprise Information Management
Enterprise Information Management
Similar a SAP HANA SPS09 - Dynamic Tiering
DMM205.pdf
DMM205.pdf
SudarsanDesikan1
SAP HANA Vora SITMTY 20160707
SAP HANA Vora SITMTY 20160707
Henrique Pinto
Sizing sap s 4 hana using the quick sizer tool
Sizing sap s 4 hana using the quick sizer tool
Jaleel Ahmed Gulammohiddin
Sap bw4 hana
Sap bw4 hana
Nisit Payungkorapin
Sap hana by jeff_word
Sap hana by jeff_word
Sunil Joshi
HANA a PoV
HANA a PoV
Prem M Desai
Leveraging SAP HANA with Apache Hadoop and SAP Analytics
Leveraging SAP HANA with Apache Hadoop and SAP Analytics
Method360
How is sap data services unique for sap hana integration
How is sap data services unique for sap hana integration
Flavio Alejandro Corradini
#asksap Analytics Innovations Community Call: SAP BW/4HANA - the Big Data War...
#asksap Analytics Innovations Community Call: SAP BW/4HANA - the Big Data War...
SAP Analytics
Dmm302 - Sap Hana Data Warehousing: Models for Sap Bw and SQL DW on SAP HANA
Dmm302 - Sap Hana Data Warehousing: Models for Sap Bw and SQL DW on SAP HANA
Luc Vanrobays
507 Real-time Challenges Migration Suite on SAP HANA V2.3 - 2014
507 Real-time Challenges Migration Suite on SAP HANA V2.3 - 2014
Praveen Sabbavarapu
Analytics Products L2 public 2020-23 Black.pptx
Analytics Products L2 public 2020-23 Black.pptx
BurakAyan6
SAP Vora CodeJam
SAP Vora CodeJam
Vitaliy Rudnytskiy
What is Sap HANA Convista Consulting Asia.pdf
What is Sap HANA Convista Consulting Asia.pdf
ankeetkumar4
Sap hana demo technopad
Sap hana demo technopad
Technopad Ameerpet
Bw h 7.4 sp9 sp8-2014 roadmap
Bw h 7.4 sp9 sp8-2014 roadmap
Ravi Gs
Dev207 berlin
Dev207 berlin
Wolfgang Weiss
What Is SAP HANA And Its Benefits?
What Is SAP HANA And Its Benefits?
ManojAgrawal74
Big data tim
Big data tim
T Weir
Transforme la operación de tu negocio en tiempo real.
Transforme la operación de tu negocio en tiempo real.
SAP Latinoamérica
Similar a SAP HANA SPS09 - Dynamic Tiering
(20)
DMM205.pdf
DMM205.pdf
SAP HANA Vora SITMTY 20160707
SAP HANA Vora SITMTY 20160707
Sizing sap s 4 hana using the quick sizer tool
Sizing sap s 4 hana using the quick sizer tool
Sap bw4 hana
Sap bw4 hana
Sap hana by jeff_word
Sap hana by jeff_word
HANA a PoV
HANA a PoV
Leveraging SAP HANA with Apache Hadoop and SAP Analytics
Leveraging SAP HANA with Apache Hadoop and SAP Analytics
How is sap data services unique for sap hana integration
How is sap data services unique for sap hana integration
#asksap Analytics Innovations Community Call: SAP BW/4HANA - the Big Data War...
#asksap Analytics Innovations Community Call: SAP BW/4HANA - the Big Data War...
Dmm302 - Sap Hana Data Warehousing: Models for Sap Bw and SQL DW on SAP HANA
Dmm302 - Sap Hana Data Warehousing: Models for Sap Bw and SQL DW on SAP HANA
507 Real-time Challenges Migration Suite on SAP HANA V2.3 - 2014
507 Real-time Challenges Migration Suite on SAP HANA V2.3 - 2014
Analytics Products L2 public 2020-23 Black.pptx
Analytics Products L2 public 2020-23 Black.pptx
SAP Vora CodeJam
SAP Vora CodeJam
What is Sap HANA Convista Consulting Asia.pdf
What is Sap HANA Convista Consulting Asia.pdf
Sap hana demo technopad
Sap hana demo technopad
Bw h 7.4 sp9 sp8-2014 roadmap
Bw h 7.4 sp9 sp8-2014 roadmap
Dev207 berlin
Dev207 berlin
What Is SAP HANA And Its Benefits?
What Is SAP HANA And Its Benefits?
Big data tim
Big data tim
Transforme la operación de tu negocio en tiempo real.
Transforme la operación de tu negocio en tiempo real.
Más de SAP Technology
SAP Integration Suite L1
SAP Integration Suite L1
SAP Technology
Future-Proof Your Business Processes by Automating SAP S/4HANA processes with...
Future-Proof Your Business Processes by Automating SAP S/4HANA processes with...
SAP Technology
7 Top Reasons to Automate Processes with SAP Intelligent Robotic Processes Au...
7 Top Reasons to Automate Processes with SAP Intelligent Robotic Processes Au...
SAP Technology
Extend SAP S/4HANA to deliver real-time intelligent processes
Extend SAP S/4HANA to deliver real-time intelligent processes
SAP Technology
Process optimization and automation for SAP S/4HANA with SAP’s Business Techn...
Process optimization and automation for SAP S/4HANA with SAP’s Business Techn...
SAP Technology
Accelerate your journey to SAP S/4HANA with SAP’s Business Technology Platform
Accelerate your journey to SAP S/4HANA with SAP’s Business Technology Platform
SAP Technology
Accelerate Your Move to an Intelligent Enterprise with SAP Cloud Platform and...
Accelerate Your Move to an Intelligent Enterprise with SAP Cloud Platform and...
SAP Technology
Transform your business with intelligent insights and SAP S/4HANA
Transform your business with intelligent insights and SAP S/4HANA
SAP Technology
SAP Cloud Platform for SAP S/4HANA: Accelerate your move to an Intelligent En...
SAP Cloud Platform for SAP S/4HANA: Accelerate your move to an Intelligent En...
SAP Technology
Innovate collaborative applications with SAP Jam Collaboration & SAP Cloud Pl...
Innovate collaborative applications with SAP Jam Collaboration & SAP Cloud Pl...
SAP Technology
The IoT Imperative for Consumer Products
The IoT Imperative for Consumer Products
SAP Technology
The IoT Imperative for Discrete Manufacturers - Automotive, Aerospace & Defen...
The IoT Imperative for Discrete Manufacturers - Automotive, Aerospace & Defen...
SAP Technology
IoT is Enabling a New Era of Shareholder Value in Energy and Natural Resource...
IoT is Enabling a New Era of Shareholder Value in Energy and Natural Resource...
SAP Technology
The IoT Imperative in Government and Healthcare
The IoT Imperative in Government and Healthcare
SAP Technology
SAP S/4HANA Finance and the Digital Core
SAP S/4HANA Finance and the Digital Core
SAP Technology
Five Reasons To Skip SAP Suite on HANA and Go Directly to SAP S/4HANA
Five Reasons To Skip SAP Suite on HANA and Go Directly to SAP S/4HANA
SAP Technology
SAP Helps Reduce Silos Between Business and Spatial Data
SAP Helps Reduce Silos Between Business and Spatial Data
SAP Technology
Spotlight on Financial Services with Calypso and SAP ASE
Spotlight on Financial Services with Calypso and SAP ASE
SAP Technology
SAP ASE 16 SP02 Performance Features
SAP ASE 16 SP02 Performance Features
SAP Technology
What's New in SAP HANA SPS 11 Operations
What's New in SAP HANA SPS 11 Operations
SAP Technology
Más de SAP Technology
(20)
SAP Integration Suite L1
SAP Integration Suite L1
Future-Proof Your Business Processes by Automating SAP S/4HANA processes with...
Future-Proof Your Business Processes by Automating SAP S/4HANA processes with...
7 Top Reasons to Automate Processes with SAP Intelligent Robotic Processes Au...
7 Top Reasons to Automate Processes with SAP Intelligent Robotic Processes Au...
Extend SAP S/4HANA to deliver real-time intelligent processes
Extend SAP S/4HANA to deliver real-time intelligent processes
Process optimization and automation for SAP S/4HANA with SAP’s Business Techn...
Process optimization and automation for SAP S/4HANA with SAP’s Business Techn...
Accelerate your journey to SAP S/4HANA with SAP’s Business Technology Platform
Accelerate your journey to SAP S/4HANA with SAP’s Business Technology Platform
Accelerate Your Move to an Intelligent Enterprise with SAP Cloud Platform and...
Accelerate Your Move to an Intelligent Enterprise with SAP Cloud Platform and...
Transform your business with intelligent insights and SAP S/4HANA
Transform your business with intelligent insights and SAP S/4HANA
SAP Cloud Platform for SAP S/4HANA: Accelerate your move to an Intelligent En...
SAP Cloud Platform for SAP S/4HANA: Accelerate your move to an Intelligent En...
Innovate collaborative applications with SAP Jam Collaboration & SAP Cloud Pl...
Innovate collaborative applications with SAP Jam Collaboration & SAP Cloud Pl...
The IoT Imperative for Consumer Products
The IoT Imperative for Consumer Products
The IoT Imperative for Discrete Manufacturers - Automotive, Aerospace & Defen...
The IoT Imperative for Discrete Manufacturers - Automotive, Aerospace & Defen...
IoT is Enabling a New Era of Shareholder Value in Energy and Natural Resource...
IoT is Enabling a New Era of Shareholder Value in Energy and Natural Resource...
The IoT Imperative in Government and Healthcare
The IoT Imperative in Government and Healthcare
SAP S/4HANA Finance and the Digital Core
SAP S/4HANA Finance and the Digital Core
Five Reasons To Skip SAP Suite on HANA and Go Directly to SAP S/4HANA
Five Reasons To Skip SAP Suite on HANA and Go Directly to SAP S/4HANA
SAP Helps Reduce Silos Between Business and Spatial Data
SAP Helps Reduce Silos Between Business and Spatial Data
Spotlight on Financial Services with Calypso and SAP ASE
Spotlight on Financial Services with Calypso and SAP ASE
SAP ASE 16 SP02 Performance Features
SAP ASE 16 SP02 Performance Features
What's New in SAP HANA SPS 11 Operations
What's New in SAP HANA SPS 11 Operations
Último
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
danishmna97
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
The Digital Insurer
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
Andrey Devyatkin
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
apidays
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Zilliz
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
apidays
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Juan lago vázquez
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdf
Overkill Security
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
Zilliz
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
Dropbox
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
DianaGray10
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
sudhanshuwaghmare1
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
Zilliz
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
apidays
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
MIND CTI
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
Remote DBA Services
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
apidays
Último
(20)
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdf
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
SAP HANA SPS09 - Dynamic Tiering
1.
1 ©2014 SAP
SE or an SAP affiliate company. All rights reserved. SAP HANA SPS 09 - What’s New? HANA Dynamic Tiering SAP HANA Product Management November 2014 (Delta from SPS 08 to SPS 09)
2.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 2 Public Disclaimer This presentation outlines our general product direction and should not be relied on in making a purchase decision. 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.
3.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 3 Public Agenda Positioning What is “SAP HANA Dynamic Tiering”, and what is its value to the customer? Technical Details Implementation choices Use Cases SAP BW and native HANA applications Future Direction Where are we headed?
4.
Positioning What is
“SAP HANA Dynamic Tiering”, and what is its value to the customer?
5.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 5 Public IDC predictions for 2014 Data explosion Data volumes will continue to explode to 6 billion petabytes Social networking Social networking will become embedded in cloud platforms and most enterprise apps and processes Cloud Cloud spending will surge by 25%, reaching over $100 billion. There will be a doubling of cloud data centers. Internet of Things 30 billion devices, sensors in 2020 – driving $8.9 Trillion in revenue Mobile CRM Data Planning Opportunities Transactions Customer Sales Order Things Instant Messages Demand Inventory Big Data Sales Order Things Mobile Demand Big Data CRM Data Customer Planning Transactions
6.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 6 Public SAP End to End Data Management for Real Time Business Business & Consumer Applications Big Data SAP DATA MANAGEMENT STORE TRANSACT PREDICT ANALYZE Custom Development ISVs & OEMs ERP Internet of Things Workforce of the Future Cloud Industries
7.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 7 Public e SAP HANA platform Processing Engine Application Function Lib. & Data Models Integration Services SAP HANA PLATFORM Real-time transactions + end-to-end analytics Operational Analytics Big Data Warehousing Predictive, Spatial & Text Analytics REAL-TIME ANALYTICS Sense & Respond Planning & Optimization Consumer Engagement REAL-TIME APPLICATIONS SAP ESP SAP ASE Replication Server SAP SQL Anywhere SAP IQ SAP Data Services Extended Application Services SAP Data Management Portfolio End-to End Data Management & App Platform for Real-Time Business Database Services SAP HANA dynamic tiering
8.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 8 Public Time Value of Data Time Value Last time accessed Value of immediate data access declines When you need it again Archive Access Event •Regulatory audit •Business critical reference data •Source data
9.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 9 Public Multi-Temperature Storage Options with SAP HANA Data Temperature Storage Option SAP BW on HANA SAP Business Suite on HANA SAP HANA Native hot SAP HANA In-Memory cold SAP HANA dynamic tiering (1) (2) Data Aging (Next Gen ILM) 3 Near-line Storage (NLS) frozen Data Archiving (ADK) Generally available Combination not available 1 Early shipment available for SAP BW 7.4; General availability planned Q4/2014 2 General availability with limited scope planned Q4/2014 3 For selected business objects
10.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 10 Public SAP HANA Dynamic Tiering Key aspects at a glance Add-on Product to SAP HANA Manage data of different temperatures Hot data (always in memory) – classical HANA Cold data (disk based data store) Introducing a new type of table: Extended table – disk-based columnar table SPS 9 release focus Operational integration Common installer Unified monitoring and administration Integrated backup/recovery Initial functional scope Transparent query processing Cross-store optimizer Use extended table in calculation views Applications manage data temperatures (no active support for aging) SAP HANA Database Data for daily reporting, other high-priority data Other data required to operate the application Hot Warm
11.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 11 Public Introducing SAP HANA Dynamic Tiering Requirements from our customers Manage data cost effectively, yet with desired performance based on SLAs Handle very large data sets – terabytes to petabytes Update and query all data seamlessly via HANA tables Application defines which data is “hot”, and which data is “warm” Native Big Data solution to handle a large percentage of enterprise data needs without Hadoop SAP HANA hot store (in-memory) SAP HANA warm store (dynamic tiering) Extended table (definition) Extended table (data) Fast data movement and optimized push down query processing All data of extended table resides in warm store SAP HANA Database System Hot table (definition/data)
12.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 12 Public Hot/Warm Data Management Questions about SAP HANA Dynamic Tiering Size and cost constraints may prohibit all in-memory solution Not all data has the same value Warm data has lower latency requirements than hot data Why is warm data management important for SAP HANA? SAP HANA dynamic tiering utilizes disk backed, smart column store technology based on Intellectual Property from SAP Sybase SAP HANA dynamic tiering excels at ad hoc queries on structured data from terabyte to petabyte scale SAP HANA dynamic tiering is a deeply integrated, high performance solution in a single system Why is SAP HANA dynamic tiering the best solution for warm data management? Hadoop has unlimited capacity for raw data processing Hadoop is best suited for batch processing of raw, unstructured data Hadoop is an external data store with technical integration into HANA – with higher TCO in order to manage the additional system What about Hadoop for warm data storage and processing?
13.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 13 Public SAP HANA Dynamic Tiering Key aspects at a glance Data in the database Different data temperatures Maximum access performance Hot data - always in memory Reduced access performance: Warm data - not (always) in memory All part of the database’s data image Data moved out of the database Different data qualities Available for read access BW Near-line storage Not accessible without IT process Traditional archive Data is stored and managed outside of the application database SAP HANA Database Data for daily reporting, other high-priority data Other data required to operate the application Hot Warm NLS Data that is (normally) not updated, infrequently accessed Traditional Archive Data that‘s kept for legal reasons or similar Externalize
14.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 14 Public Problems with temperatures There are too many options – across system boundaries In DB In memory No restrictions, all features available External to DB Near-line Storage Read access, no updates In DB On disk No restrictions, all features available hot warm cold ??? External to DB Archive storage No read access or updates Performance and Price Priority and Data Volume HANA Archive HANA column and row store Warm store of dynamic tiering / Non-Active Data Concept BW Near-line Storage Traditional Archive
15.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 15 Public Problems with temperatures There are too many options – across system boundaries In DB In memory No restrictions, all features available External to DB Near-line Storage Read access, no updates In DB On disk No restrictions, all features available hot warm cold ??? External to DB Archive storage No read access or updates Performance and Price Priority and Data Volume HANA column and row store Warm store of dynamic tiering / Non-Active Data Concept BW Near-line Storage Traditional Archive hot warm BW NLS Archive
16.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 16 Public SAP HANA Dynamic Tiering Map data priorities to data management Hot Store Classic HANA tables Primary data image in memory DB algorithms optimized for in-memory data Persistence on disk to guarantee durability Warm Store Extended Tables Primary data image on disk Data processing using algorithms optimized for disk-based data Main memory used for caching and processing. SAP HANA Database Primary image in memory Durability Cache / Processing Primary Image on disk Dynamic Tiering Hot data Warm data All in one database Hot Store Warm Store RAM
17.
Technical Details Implementation
choices
18.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 18 Public SAP HANA Dynamic Tiering – one database / one experience for HANA application developers and admins SAP HANA Dynamic Tiering Reduced TCO Optimized for performance Single database experience Centralized operational control Centralized monitoring / admin High speed data ingest Common installer and licensing model Unified backup and restore Integrated security Optimized query processing SAP HANA Dynamic Tiering
19.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 19 Public SAP HANA Dynamic Tiering The overall system layout SAP HANA with Dynamic Tiering consists of two types of hosts: Regular worker hosts (running the classical HANA processes: indexserver, nameserver, daemon, xsserver,…) –HANA hosts can be single-node or scale-out; appliance or TDI “ES host” (running nameserver, daemon, and esserver) –esserver is the database process of the warm store One single SAP HANA database: one SID, one instance number All client communication happens through index server / XS server Hot Store Fast data movement and optimized push down query processing SAP HANA System with dynamic tiering service Worker host(*) Worker host Worker host Client Application Connect ES host Column Table Row Table Extended Table Warm Store Common Storage System (*) Standby hosts not shown
20.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 20 Public Database Catalog HANA Extended Tables HANA Database Warm Store Data HANA extended table schema is part of HANA database catalog HANA extended table data resides in warm store HANA extended table is a first class database object with full ACID compliance Hot Store Table Definition Data Table Definition Classical HANA column/row table Extended table (warm table)
21.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 21 Public High Speed Data Ingest Import from CSV files: IMPORT FROM CSV FILE ‘bigfile.csv’ INTO t1 Bulk array insert: INSERT INTO t1 (col1, col2, col3...) VALUES (val1, val2, val3...) High-speed data movement between HANA tables and HANA extended tables: INSERT INTO t_extended select c1 FROM t_hana Concurrent inserts from multiple connections: A HANA extended table may be a DELTA enabled table, which allows multiple concurrent writes Warm Extended Table IMPORT FROM CSV FILE ‘data.csv’ INTO t_extended CSV DATA Hot HANA column Table INSERT...SELECT Materialization Data movement between hot and warm store HANA Database
22.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 22 Public Optimized Query Processing Parallel query processing •Data is pulled from HANA hot store into HANA warm store query processing engine using multiple streams, and processed in parallel Push/Pull query optimization and transformation •Query operations ship to hot or warm store as appropriate for native performance Extended tables may be used in HANA CALC views •HANA Calc engine and HANA SQL engine share extended table query performance optimizations Joining Grouping Ordering T3 T4 T1 T2
23.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 23 Public Example Query Plan select "account_num", count(*) as account_count from VXM_FOODMART.CUSTOMER C where "lname" >= 'Ga' and "lname" < 'Gb' and exists ( select * from VXM_IQSTORE.PRODUCT P where "product_id" = "customer_id" ) group by "account_num" order by "account_num"; Customer is a native HANA table in HANA memory Product is a HANA extended table in the warm store
24.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 24 Public HANA Monitoring and Administration HANA Cockpit: New, web based monitoring and administration console for HANA Extended Storage HANA Studio will be used for design and modeling of HANA extended tables HANA Cockpit displays status, CPU/memory/storage resource utilization, table usage statistics Provides access to and search of server logs and custom traces Shows alerts triggered by extended storage Enables administration of extended storage: add and drop storage, or increase size of file
25.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 25 Public Unified Backup and Restore HANA backup manages backup of both hot and warm store Point in Time Recovery (PITR) is supported Extended Storage HANA Data backups (manual or scheduled) Log backups (automatic, or none) Data backup Log backup System crash Restore Time t1 t2 t3 Data backups with log backups allow restore to Point in Time or most recent state: t1- > t3 Data backups alone allow restore to specific backup only: t1 or t2 Log area Backup History
26.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 26 Public High Availability and Disaster Recovery High availability Compute node failure will result in failover to standby node (manual for warm store nodes) Storage failure will depend on inherent storage vendor disk mirroring and fault tolerance capabilities Hot and warm store should use the same storage to facilitate auto-failover in the future Disaster recovery HANA without Dynamic Tiering supports continuous replication to maintain a disaster recovery site HANA with Dynamic Tiering will maintain a disaster recovery site through backup and restore capabilities only –Disaster recovery through system replication is planned for a future release –Disaster recovery through storage replication may be added independently from software releases Classical HANA services Compute node Hot Store Warm Store Service Compute node Standby node Manual Failover Standby node Warm Store Auto- Failover mirror mirror
27.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 27 Public Support in SAP HANA multiple database containers (MDC) MDC: One SAP HANA system can have multiple tenant databases Each tenant database can be associated with zero or one extended stores Each extended store is dedicated to exactly one tenant database SAP HANA system with MDC and dynamic tiering Compute node System Database Compute node Compute node Tenant Database <B> Extended Store Tenant Database <A> Tenant Database <C> Extended Store Classical HANA (single-node or scale-out) ES Host <B> ES Host <C>
28.
Use Cases SAP
BW and native HANA applications
29.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 29 Public SAP NetWeaver BW powered by SAP HANA Data Classification by Object Type Frequent reporting and/or HANA-native operations BW – Operational Data Data Categories in a BW System Staging Layer Analytic Mart Business Transformation EDW Propagation EDW Transformation Corporate Memory Archive/NLS “Old”, “out-of-use” data – Archive, read-only, different SLAs Limited reporting, limited HANA-native operations Archived
30.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 30 Public SAP HANA database Database Catalog Extended Tables in HANA BW Use Case: Staging and Corporate Memory Object Classification in BW Data Sources and write-optimized DSOs can have the property “Extended Table” Generated Tables are of type “Extended” All BW standard operations supported – no changes Only minor temporary RAM required in HANA InfoCubes and Regular or Advanced DSOs Generate standard column table Hot Store Warm store BW System Corporate Memory Write-optimized DSO Staging Area Data Source Table Schema Data PSA Table Table Schema Data Active Table Data Mart InfoCube Table Schema Data Fact Table
31.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 31 Public SAP HANA Dynamic Tiering for Big Data Cutting edge, in-memory platform Transact/analyze in real-time Native predictive, text, and spatial algorithms Petascale extension to HANA with disk backed, columnar database technology Expand HANA capacity with warm/cool structured data in HANA warm store Tight integration between HANA hot store and HANA warm store for optimal performance SAP HANA with Dynamic Tiering provides native Big Data solution Hot data SAP HANA Petascale, warm structured data HANA extended tables
32.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 32 Public SAP HANA with Dynamic Tiering Native Big Data solution for a multitude of use cases SAP HANA Dynamic Tiering for Big Data Use Cases across Industries Airline route profitability analysis: SAP HANA analyzes revenue, variable operating costs (fuel, landing fees...), and fixed operating costs in real time to make decisions on network, pricing, and marketing to determine where to fly, when, and how often. All data must be analyzed in real time. Financial services: Stock tick data streamed into SAP HANA for immediate price fluctuation analysis and trading actions, with historical stock price data stored in HANA extended tables for trend analysis and portfolio management. Telecommunications: Network service data in HANA extended tables analyzed and correlated with customer loyalty data in SAP HANA, to anticipate customer churn and initiate customer retention response activities. Public utilities: enterprise data stored in SAP HANA and large amounts of smart meter data stored in HANA extended tables, to identify operational problems, and establish incentive pricing for more efficient energy use.
33.
Future Direction Where
are we headed?
34.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 34 Public SAP HANA Dynamic Tiering roadmap SAP HANA dynamic tiering available to be used by any HANA application (if the application supports the feature) Common installer Unified administration and monitoring using HANA Cockpit Extended Storage (ES) engine is part of HANA topology Single authentication model Single licensing model Combined error log / trace handling Integrated File-based backup/recovery, including point-in time recovery HANA ES host scale-out and auto-failover (HA) Disaster Recovery (SAP HANA system replication) Further integration with respect to backup/recovery Hybrid extended tables with rule based automatic data movement / aging Optimization of communication between hot and warm store Further unification of DDL and DML for HANA extended tables Further optimizer enhancements Further extension of unique HANA capabilities to warm store FUTURE PLANNED
35.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 35 Public Hybrid extended tables Automatic, rules-based, asynchronous data movement between hot and warm stores Hot partitions in HANA memory; remaining partitions in warm store Single HANA table that spans hot and warm stores Hot data in HANA tier Warm data In warm tier 2012 2012 Hybrid Extended Table aging regulatory audit
36.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 36 Public How to find SAP HANA documentation on this topic? •In addition to this learning material, you can find SAP HANA platform documentation on SAP Help Portal knowledge center at http://help.sap.com/hana_platform. •The knowledge centers are structured according to the product lifecycle: installation, security, administration, development: SAP HANA Options SAP HANA Advanced Data Processing SAP HANA Dynamic Tiering SAP HANA Enterprise Information Management SAP HANA Predictive SAP HANA Real-Time Replication SAP HANA Smart Data Streaming SAP HANA Spatial •Documentation sets for SAP HANA options can be found at http://help.sap.com/hana_options: SAP HANA Platform SPS What’s New – Release Notes Installation Administration Development References •
37.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. Thank you Contact information Richard Bremer, Courtney Claussen, Balaji Krishna, and Robert Waywell SAP HANA Product Management AskSAPHANA@sap.com
38.
©2014 SAP SE
or an SAP affiliate company. All rights reserved. 38 Public © 2014 SAP SE or an SAP affiliate company. All rights reserved. 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. SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries. Please see http://global12.sap.com/corporate-en/legal/copyright/index.epx for additional trademark information and notices. 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 SE or its affiliated companies shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP SE 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/or platform 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 in this document is not a commitment, promise, or legal obligation to deliver any material, code, or functionality. All forward- looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions.
Descargar ahora