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What's Planned for SAP HANA SPS10
The Modern Platform for All Applications
SAP HANA Product Management
© 2014 SAP AG. All rights reserved. 3
Session Goals and Considerations
 Provide an overview and positioning of some of the key SAP HANA enhancements, features, and
capabilities planned for SPS10
 SAP HANA SPS10 planned for general availability late June 2015. This information is considered
Roadmap and is subject to change.
 Press Release and announcements for SPS10 were announced at a SAP Insider event at Nice, France on
June 16, 2015
© 2014 SAP AG. All rights reserved. 4
Key Themes for SAP HANA SPS10
The modern platform for all applications
Accelerate Innovate Simplify
 Expand the choice of hardware
and 3rd party software solutions
 Manage more data in-memory
within a single system
 Seamlessly integrate and gain
actionable insights from big data
 Improve HA/DR and lower
administration costs
 Strengthen cloud data center
and virtualization support
 Streamline new application
development
 Deliver mobility and connect
with IoT at enterprise scale
 Gain insights combining
spatial with other data
 Expand advanced analytics
for innovative applications
Cloud
SAP HANA - made for cloud
and cloud applications
Big Data & IoT
SAP HANA – create instant value from the
variety in your big data assets
App. & Ind. Platform
SAP HANA - one platform for analytical and
transactional workloads
Openness
SAP HANA – enabling co-innovation,
ease of integration and lower TCO
Availability  Flexibility  Reliability
© 2014 SAP AG. All rights reserved. 5
Key Innovations In SAP HANA SPS10
Big Data & IoT
 Improved Workload management and
NUMA optimization
 Extensions, round-offs and performance
optimization for Dynamic Tiering, Smart
Data Access and Hadoop integration
 Further integration for Smart Data
Streaming, Accelerator for ASE, SAP DB
Control Center and Remote Data Sync
(remote and mobile sites)
 Native support for time-dependent
hierarchies.
Cloud Enablement
 Extended Multi-Tenancy support
(further improved tenant isolation and
monitoring, create/drop/start/stop via SAP
HANA Cockpit, reduced memory footprint
per tenant, tenants as data source in
graphical modeler)
 Further reduction of OLTP failover time
through asynch. index load
Openness
 SAP HANA on Power for BW scenarios
 VMWare 5.5 for scale-out BW scenarios
 SLES12 to be released for HW partner
certification
Application & Industry Platform
 1-to-n asynchronous table replication
 Native hierarchy support for BW & Modeler
 New & enhanced PAL algorithms, integration
with series data support and improved
exception handling for SQLhandler
 Resource tracking for statement memory
(min/max/average)
This is the current state of planning and may be changed by SAP at any time.
SAP
HANA
SPS10
© 2014 SAP AG. All rights reserved. 6
Accelerate
© 2014 SAP AG. All rights reserved. 7
Extend support for hardware infrastructure, provide more options and relax non-production
requirements for faster time-to-value, lower TCO, and lower TCM
Hardware Support
 Intel Haswell (E7 v3 Xeon)
• Supports up to 12 TB of memory (NUMA architecture optimization).
• Performance improved by 6x with TSX
• 250+ server configurations on Intel Haswell
 IBM Power
 Support for IBM Power on SUSE Linux for BWoH scenarios
Virtualization Scenarios
 Hitachi – Virtualized LPAR for on-premise and cloud deployment (certified)
 IBM – Power LPAR (certified)
 VMware – VMware 5.5 for scale-out BW (Control Availability)
Operating System
 SUSE Linux Enterprise Server 12 – Release for partner certification
Tailored Data Center Integration (TDI)
 TDI Phase 4 – SAP HANA on IBM Power 8 (Ramp-up)
Lower Cost Infrastructure for Non-Production
 CPU – Lower cost IBM Power 7
Accelerate
Datacenter Support
17 partners with ~900 server configurations
SAP HANA Hardware Partners
© 2014 SAP AG. All rights reserved. 8
Take advantage of certified 3rd party solutions to accelerate SAP HANA adoption & reduce
objections
Certification Categories
 ETL tools
 200+ smart data access (SDA) and smart data
integration(SDI) adapters
 Smart data streaming (SDS) adapters
 Applications powered by SAP HANA Platform
 BI SQL/MDX clients
 Back-up and monitoring tools
 Synchronous storage based mirroring solutions
 Hosting partner delivery/reselling of SAP HANA partnerships
Accelerate
Openness and Flexibility
See list of certified software partners and hardware providers
© 2014 SAP AG. All rights reserved. 9
Accelerate
SAP HANA smart data integration
Smart Data Integration enhancements
 New adapters for Teradata, SAP ASE, SAP HANA
 Distribute data from SAP HANA to 3rd party targets
 Schema change replication
 High performing initial load and data compression
 Changed data capture for SAP BW and SAP Data Services
Benefits
 Simplified: Common modeling environment to provision and consume
 Real-time: Lower latency due to real time replication and in-memory
performance
 Open & extensible: Support data of any shape and size; open
framework for new data sources
Landscape simplification, lower TCO, reduce data latency, common modeling environment and
open & extensible framework
Smart Data Integration
Built-In Adapters Custom Adapters
SAP HANA Platform
OData
DB2, Oracle
SQL Server
Adapter
Framework
Metadata
© 2014 SAP AG. All rights reserved. 10
Accelerate
SAP HANA smart data quality
Smart Data Quality enhancements
 Matching to identify duplicates
 Better data quality with distribution, metadata and
semantic profiling
 Improved insight from side-effect data
 Web-based workbench for development and
management tasks
Benefits
 Improved data quality capabilities
 Simplified development
Simplify the landscape with new data cleansing and modeling capabilities with real-time
performance natively in SAP HANA
Transformations
SAP HANA Platform
SAP HANA Studio
Metadata Rules
Smart Data Quality
© 2014 SAP AG. All rights reserved. 11
Improved performance for data virtualization and access capabilities to support the next generation
logical enterprise architecture – Analytic Data Warehouse
Enhancements
 Optimizer enhancements
 Connection pooling
 End to end performance improvement by parallelism
Benefits
 Real-time virtualized data access to external data sources
 Compliments and leverages existing enterprise investments
 Leverages advanced native SAP HANA capabilities to build
applications
 Optimized performance and reduces objections to start in-memory
journey
 Lower development costs by using data directly from its source
system
Accelerate
SAP HANA smart data access
SAP HANA Platform
Smart Data Access
Virtual Tables
Modeling & SQL Script
IBM DB2, Netezza,
Oracle, MS SQL
Server, Teradata,
SAP HANA, SAP
ASE, SAP IQ
HDFS
© 2014 SAP AG. All rights reserved. 12
Accelerate
Enhanced Hadoop Integration
Further embracing Hadoop community with new and advanced integration for more advanced and rich
processing of big data
This is the current state of planning and may be changed by SAP at any time.
Spark Integration
 High performing Spark integration for big data processing
 Query optimization
Easier Administration
 Unified admin and monitoring tool for SAP HANA and Hadoop
cluster
Use Case & Benefits
 Tighter Integration with Apache Spark means less disruption in
customer data mart landscape
 Faster adoption - Unified Administration for SAP HANA & Hadoop
Map Reduce
HDFS
SAP HANA Platform
Smart Data
Access
vUDF
Federate Federate
Smart Data
Integration
Federate Load
© 2014 SAP AG. All rights reserved. 13
Innovate
© 2014 SAP AG. All rights reserved. 14
Innovate
SAP HANA Remote Data Sync (RDSync)
New Features
 Synchronize (two-way) data between SAP HANA and thousands of remote databases (SAP SQL Anywhere, UltraLite)
 Occasionally connected network: Handle intermittent and slow networks
 End-to-end encryption
 Integrated management using SAP HANA Cockpit
 Internet of Things – two-way exchange of
structured data with large numbers of devices
 Offline Mobile – enable employees to be
productive whether network is available or not
 Remote Server – enable continuous
operation at remote workplaces over
unreliable networks
Create System of Innovation opportunities with enhanced IoT capability at enterprise scale
Use Cases
© 2014 SAP AG. All rights reserved. 15
New Features & Capabilities
 Multi-dimensional support including 3D and measurement
dimension for use in key geospatial industries and linear
asset management
 Additional functions & methods for native high-performing
location intelligence scenarios
 CDS support for spatial datatypes and functions for simpler
and faster development and deployment
Third-Party Integration
 Luciad for high-performing 3D visualization
 Esri Feature Services for web service editing & symbology
(Esri ArcGIS 10.3.1)
 Safe FME for spatial ETL (FME 2015)
Innovate
SAP HANA Spatial Processing
Create, upsell, and accelerate opportunities with enhanced spatial capabilities, features, and ecosystem
integration
© 2014 SAP AG. All rights reserved. 16
Innovate
Text Analysis and Mining
New and enhanced powerful native text analysis and mining features to support more languages and
improved performance for unstructured data analysis, and simpler access and processing
Text Analysis Enhancements
 Capture metadata from documents and emails
 Improved fact extraction accuracy for the enterprise domain in English
 Full linguistic analysis support for Polish
 Consolidated Chinese module for processing mixed Chinese languages –
simplified and traditional – in a single document.
 Improved predefined core extraction for PERSON and PRODUCTS entity types in
most languages
 Up to 25% greater throughput performance for pre-processing steps
 Available on-demand processing with SAP HANA XS for faster processing and
reduced memory consumption
Text Mining Enhancements
 Simpler access to text mining functions via SQL for faster development and
deployment
 New standard measures to determine the similarity of documents
 Improved text mining XS API for better manageability and security
© 2014 SAP AG. All rights reserved. 17
Innovate
Predictive Analytics
New and enhanced powerful native predictive analytic capabilities to empower and support the
modern day applications and tools
Predictive Analysis Library algorithms
 New Algorithms Supported
 Classification Analysis – Confusion Matrix and Parameter Slection &
Model Evaluation
 Clustering – Gaussian Mixture Model and Latent Dirichlet Allocation
(LDA)
 Time Series Analysis – Seasonal ARIMA and Test for White Noise,
Trend, and Seasonality
 Outlier Detection – Grubbs Outlier Test
 Enhancements to existing algorithms including parameter selection &
model evaluation
 PAL integration with SAP HANA Data Series
 Now over 65 AFL based predictive algorithms available to be accessed
via SQLScript, application function modeler, and SAP predictive tools
and to be consumed with analytic/BI tools as well as SAP, partner, and
custom applications
 In-database custom AFL algorithms – certification open to all
© 2014 SAP AG. All rights reserved. 18
Innovate
SAP HANA Dynamic Tiering
Datacenter Readiness & Continued Technical Integration
 SAP HANA Data Warehousing Foundation Option, Data
Lifecycle Manager* (DLM) UI5 tool for rules based data aging
strategies* and dynamic view generation
 HA/DR support SAP HANA Dynamic Tiering
 3rd party backup tools integration
 Extended monitoring / admin / security
 SAP HANA MDC support - one DT installation per tenant DB
 Query optimizer improvements for performance
Benefits
 Expanded SAP HANA capacity with lower TCO
 Big Data scale
 Performance improvements for efficient reporting
New and enhanced datacenter readiness, technical integration, administration, and data lifecycle management
capabilities for cost effective multi-temperature data management
This is the current state of planning and may be changed by SAP at any time.* Based on SPS10
© 2014 SAP AG. All rights reserved. 19
Innovate
SAP HANA smart data streaming
Applications
Stream
(push)
connect,
query
SAP HANA Platform with smart
data streaming
Cloud Ready:
 New streaming web server to handle large event
volumes
Internet of Things:
 New “Streaming Lite” designed for devices and IoT
gateways
Integrated configuration & monitoring
 SAP HANA Cockpit integration for configuration and
management
 Automated configuration for SAP HANA data service
Internet of Things: collect and monitor data from smart devices; immediately respond to new opportunities or
imminent problems.
Extract insight from real-time information streams and respond immediately
Incoming Streams
SAP HANA Platform
Streaming
Service
Devices / IoT
Gateway
Streaming
Lite
© 2014 SAP AG. All rights reserved. 20
Innovate
Workload Management
Effectively balance & manage the platform resources for predictable performance and meet
customer SLAs
Features & Capabilities
 New workload class to provide more granular controls
 NUMA optimization to enable future support for very large
(12TB+) nodes (CPU/Memory)
 Better workload management by reducing CPU load with
prioritized jobs and elimination of mini jobs
Benefits
 Maximize use of database resources
 Cost effective price performance
Scenarios & Use Cases
 Workload management for mixed workloads by creating
workload mapping to workload classes based on client
application context
© 2014 SAP AG. All rights reserved. 21
New and enhanced native series data storage and processing capabilities to support
use cases in utilities, retail, banking, and financial services
Features & Capabilities
 Handle variation in timestamp data
 Jittered data
 Timezone adjustment
 Query enhancement for more precise rounding for series data
 Enhanced analytics with new analytic functions
Benefits
 Strong foundation for IoT
 Enable analysis of real time operational intelligence from
various devices
Innovate
Series Data Storage and Services
© 2014 SAP AG. All rights reserved. 22
Simplify
© 2014 SAP AG. All rights reserved. 23
Simplify
Strengthened High Availability and Disaster Recovery
New and enhanced HA/DR capabilities to ensure most demanding SLA and ensure
business continuity and availability
Geo clusters
Metro cluster
Sync
Async
Async
Campus
cluster
Features & Capabilities
 Reduce re-start and downtime window
 Support for SAP HANA Dynamic Tiering
 SAP HANA Cockpit support for SAP HANA System
Replication
 Backup & Recovery support for MDC
 Incremental and differential backups
Benefits
 Further reduce planned and unplanned downtime
© 2014 SAP AG. All rights reserved. 24
Simplify
SAP HANA Multitenant Database Containers
Datacenter Readiness
 Extended features for backup and recovery
 Feature extensions for cross tenant access (read access)
 GUI Support for SAP HANA MDC (SAP HANA Cockpit, SAP
Database Control Center)
Cloud Readiness
 Extended tenant isolation (user/group on OS level, internal
communication, statement permission)
Benefits
 Lower capital expenditure with better utilization of HW resources
 Easy management through enhanced GUI support
 Higher security levels for building cloud deployments
 Strong control over cross-tenant access
Provide simplicity & flexibility and reduce TCO for SAP HANA cloud and on premise deployments
Schema X
Tenant DB X
SAP HANA Instance
Application
X
Schema Y
Application
Y
Tenant DB Y
HW
OS
System DB
Tenant
Alias
Tenant
Alias
Application
Users (X)
Application
Users (Y)
© 2014 SAP AG. All rights reserved. 25
New and enhanced security features for enterprise ready deployment
Features and Capabilities:
 Simplified security administration and management with
SAP HANA Cockpit
 Flexible access control
 Improved lifecycle management for analytic privileges
 Supports for FIPS 140-2 Certified encryption library
 Extended audit logging coverage
 Enhanced security for multitenant database container
isolation
Simplify
Enhanced Security
© 2014 SAP AG. All rights reserved. 26
Simplify
Administration & Monitoring
Simplify administration and monitoring for multi-tenancy and cloud use
Features and Capabilities
 Simplified configuration optimized for cloud usage
 SAP HANA Multitenant Database Containers
support
 Advanced performance analysis & monitoring
 Better custom reporting for system health history
 Extended application logs and audit logs
Benefits
 Easier maintenance of multi-tenancy DBs
 Simplification of Cloud Maintenance
SAP HANA DCC
© 2014 SAP AG. All rights reserved. 27
Simplify
Modeling & Development Tools
Features and Capabilities
 Continued Web IDE enhancements to include SAP HANA
Studio features
 ŸŸSAP HANA MDC support in modeler for easier
development across tenants
 New SQLScript syntax enhancement and Spatial support
Benefits
 Streamline application development
Simple and effective application development framework for developers
© 2014 SAP AG. All rights reserved. 28
Simplify
Application Function Modeler
Simple and effective way for the application developer to add advanced capabilities to
applications and to manage the resulting data-flow models
 New web-based flowgraph editor
 Support for R, SDI & SDQ
 Limited support for AFL
 Create procedures or task runtime operations
 Interoperability with SAP HANA Studio AFM
 SAP HANA Studio Based AFM
 New PAL function support including time series,
clustering, classification, and statistics
 General usability enhancements for an easier,
simpler, and more functional experience
© 2014 SAP AG. All rights reserved. 29
Source of best practice implementation examples, improving the quality of customer
and partner content
Enhanced Model
 Programming artifacts enhancement in core data
services
 All views (i.e. Attribute & Analytical views) replaced with
Calculation Views
User Interface
 Remodeled SAPUI5 code with XML based views
Package Update
 Download the latest copy from SMP
Simplify
SAP HANA Interactive Education (SHINE)
© 2014 SAP AG. All rights reserved. 30
Summary
© 2014 SAP AG. All rights reserved. 31
Key Takeaways for SAP HANA SPS10
One Platform for All Applications
SAP HANA accelerates ROI on-premise or in the cloud
• Deployment options, flexibility, and openness
• Lowering TCO
SAP HANA delivers actionable insight on Big Data
• Supporting the next generation of Big Data & IoT solutions
• Advanced analytics ecosystem in one platform
SAP HANA simplifies landscape and streamlines deployment
• Provide cost effective data storage and processing
• Streamlined data management, development, and
administration
Accelerate
Innovate
Simplify
© 2014 SAP AG. All rights reserved. 32
Planned Innovations Future DirectionToday
SAP HANA
Product road map overview – key themes and capabilities
SAP Business Suite & SAP
Business Warehouse support
Data temperature management
Multi-tenant database containers
Enhanced predictive, text, and
spatial application services
Big data & IoT capabilities
Openness for third-party tools,
applications, and solutions
Enhanced Hadoop integration
Various flexible cloud and data
center delivery models
Complete enterprise-ready
deployment capabilities
Enhancements for multi-tenant
database containers
Additional data temperature
management capabilities
Additional cloud deployment
capabilities & options
Enhanced openness & platform
support
New & enhanced advanced
application services
Enhanced developer,
administration, operations, and
modeling capabilities
Core engine enhancements
Big data & IoT platform
enhancements
Extend cloud and data center
deployment capabilities & options
New and enhanced advanced
analytic capabilities, features, &
application services
Continue third-party tool & application
support
Extend data modeling and data
provisioning capabilities
Continue platform management,
administration, and development
simplification
This is the current state of planning and may be changed by SAP at any time.
SPS09 – Q4 2014 Planned SPS10 - Q2 2015
Thank you

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What's Planned for SAP HANA SPS10

  • 1. What's Planned for SAP HANA SPS10 The Modern Platform for All Applications SAP HANA Product Management
  • 2. © 2014 SAP AG. All rights reserved. 3 Session Goals and Considerations  Provide an overview and positioning of some of the key SAP HANA enhancements, features, and capabilities planned for SPS10  SAP HANA SPS10 planned for general availability late June 2015. This information is considered Roadmap and is subject to change.  Press Release and announcements for SPS10 were announced at a SAP Insider event at Nice, France on June 16, 2015
  • 3. © 2014 SAP AG. All rights reserved. 4 Key Themes for SAP HANA SPS10 The modern platform for all applications Accelerate Innovate Simplify  Expand the choice of hardware and 3rd party software solutions  Manage more data in-memory within a single system  Seamlessly integrate and gain actionable insights from big data  Improve HA/DR and lower administration costs  Strengthen cloud data center and virtualization support  Streamline new application development  Deliver mobility and connect with IoT at enterprise scale  Gain insights combining spatial with other data  Expand advanced analytics for innovative applications Cloud SAP HANA - made for cloud and cloud applications Big Data & IoT SAP HANA – create instant value from the variety in your big data assets App. & Ind. Platform SAP HANA - one platform for analytical and transactional workloads Openness SAP HANA – enabling co-innovation, ease of integration and lower TCO Availability  Flexibility  Reliability
  • 4. © 2014 SAP AG. All rights reserved. 5 Key Innovations In SAP HANA SPS10 Big Data & IoT  Improved Workload management and NUMA optimization  Extensions, round-offs and performance optimization for Dynamic Tiering, Smart Data Access and Hadoop integration  Further integration for Smart Data Streaming, Accelerator for ASE, SAP DB Control Center and Remote Data Sync (remote and mobile sites)  Native support for time-dependent hierarchies. Cloud Enablement  Extended Multi-Tenancy support (further improved tenant isolation and monitoring, create/drop/start/stop via SAP HANA Cockpit, reduced memory footprint per tenant, tenants as data source in graphical modeler)  Further reduction of OLTP failover time through asynch. index load Openness  SAP HANA on Power for BW scenarios  VMWare 5.5 for scale-out BW scenarios  SLES12 to be released for HW partner certification Application & Industry Platform  1-to-n asynchronous table replication  Native hierarchy support for BW & Modeler  New & enhanced PAL algorithms, integration with series data support and improved exception handling for SQLhandler  Resource tracking for statement memory (min/max/average) This is the current state of planning and may be changed by SAP at any time. SAP HANA SPS10
  • 5. © 2014 SAP AG. All rights reserved. 6 Accelerate
  • 6. © 2014 SAP AG. All rights reserved. 7 Extend support for hardware infrastructure, provide more options and relax non-production requirements for faster time-to-value, lower TCO, and lower TCM Hardware Support  Intel Haswell (E7 v3 Xeon) • Supports up to 12 TB of memory (NUMA architecture optimization). • Performance improved by 6x with TSX • 250+ server configurations on Intel Haswell  IBM Power  Support for IBM Power on SUSE Linux for BWoH scenarios Virtualization Scenarios  Hitachi – Virtualized LPAR for on-premise and cloud deployment (certified)  IBM – Power LPAR (certified)  VMware – VMware 5.5 for scale-out BW (Control Availability) Operating System  SUSE Linux Enterprise Server 12 – Release for partner certification Tailored Data Center Integration (TDI)  TDI Phase 4 – SAP HANA on IBM Power 8 (Ramp-up) Lower Cost Infrastructure for Non-Production  CPU – Lower cost IBM Power 7 Accelerate Datacenter Support 17 partners with ~900 server configurations SAP HANA Hardware Partners
  • 7. © 2014 SAP AG. All rights reserved. 8 Take advantage of certified 3rd party solutions to accelerate SAP HANA adoption & reduce objections Certification Categories  ETL tools  200+ smart data access (SDA) and smart data integration(SDI) adapters  Smart data streaming (SDS) adapters  Applications powered by SAP HANA Platform  BI SQL/MDX clients  Back-up and monitoring tools  Synchronous storage based mirroring solutions  Hosting partner delivery/reselling of SAP HANA partnerships Accelerate Openness and Flexibility See list of certified software partners and hardware providers
  • 8. © 2014 SAP AG. All rights reserved. 9 Accelerate SAP HANA smart data integration Smart Data Integration enhancements  New adapters for Teradata, SAP ASE, SAP HANA  Distribute data from SAP HANA to 3rd party targets  Schema change replication  High performing initial load and data compression  Changed data capture for SAP BW and SAP Data Services Benefits  Simplified: Common modeling environment to provision and consume  Real-time: Lower latency due to real time replication and in-memory performance  Open & extensible: Support data of any shape and size; open framework for new data sources Landscape simplification, lower TCO, reduce data latency, common modeling environment and open & extensible framework Smart Data Integration Built-In Adapters Custom Adapters SAP HANA Platform OData DB2, Oracle SQL Server Adapter Framework Metadata
  • 9. © 2014 SAP AG. All rights reserved. 10 Accelerate SAP HANA smart data quality Smart Data Quality enhancements  Matching to identify duplicates  Better data quality with distribution, metadata and semantic profiling  Improved insight from side-effect data  Web-based workbench for development and management tasks Benefits  Improved data quality capabilities  Simplified development Simplify the landscape with new data cleansing and modeling capabilities with real-time performance natively in SAP HANA Transformations SAP HANA Platform SAP HANA Studio Metadata Rules Smart Data Quality
  • 10. © 2014 SAP AG. All rights reserved. 11 Improved performance for data virtualization and access capabilities to support the next generation logical enterprise architecture – Analytic Data Warehouse Enhancements  Optimizer enhancements  Connection pooling  End to end performance improvement by parallelism Benefits  Real-time virtualized data access to external data sources  Compliments and leverages existing enterprise investments  Leverages advanced native SAP HANA capabilities to build applications  Optimized performance and reduces objections to start in-memory journey  Lower development costs by using data directly from its source system Accelerate SAP HANA smart data access SAP HANA Platform Smart Data Access Virtual Tables Modeling & SQL Script IBM DB2, Netezza, Oracle, MS SQL Server, Teradata, SAP HANA, SAP ASE, SAP IQ HDFS
  • 11. © 2014 SAP AG. All rights reserved. 12 Accelerate Enhanced Hadoop Integration Further embracing Hadoop community with new and advanced integration for more advanced and rich processing of big data This is the current state of planning and may be changed by SAP at any time. Spark Integration  High performing Spark integration for big data processing  Query optimization Easier Administration  Unified admin and monitoring tool for SAP HANA and Hadoop cluster Use Case & Benefits  Tighter Integration with Apache Spark means less disruption in customer data mart landscape  Faster adoption - Unified Administration for SAP HANA & Hadoop Map Reduce HDFS SAP HANA Platform Smart Data Access vUDF Federate Federate Smart Data Integration Federate Load
  • 12. © 2014 SAP AG. All rights reserved. 13 Innovate
  • 13. © 2014 SAP AG. All rights reserved. 14 Innovate SAP HANA Remote Data Sync (RDSync) New Features  Synchronize (two-way) data between SAP HANA and thousands of remote databases (SAP SQL Anywhere, UltraLite)  Occasionally connected network: Handle intermittent and slow networks  End-to-end encryption  Integrated management using SAP HANA Cockpit  Internet of Things – two-way exchange of structured data with large numbers of devices  Offline Mobile – enable employees to be productive whether network is available or not  Remote Server – enable continuous operation at remote workplaces over unreliable networks Create System of Innovation opportunities with enhanced IoT capability at enterprise scale Use Cases
  • 14. © 2014 SAP AG. All rights reserved. 15 New Features & Capabilities  Multi-dimensional support including 3D and measurement dimension for use in key geospatial industries and linear asset management  Additional functions & methods for native high-performing location intelligence scenarios  CDS support for spatial datatypes and functions for simpler and faster development and deployment Third-Party Integration  Luciad for high-performing 3D visualization  Esri Feature Services for web service editing & symbology (Esri ArcGIS 10.3.1)  Safe FME for spatial ETL (FME 2015) Innovate SAP HANA Spatial Processing Create, upsell, and accelerate opportunities with enhanced spatial capabilities, features, and ecosystem integration
  • 15. © 2014 SAP AG. All rights reserved. 16 Innovate Text Analysis and Mining New and enhanced powerful native text analysis and mining features to support more languages and improved performance for unstructured data analysis, and simpler access and processing Text Analysis Enhancements  Capture metadata from documents and emails  Improved fact extraction accuracy for the enterprise domain in English  Full linguistic analysis support for Polish  Consolidated Chinese module for processing mixed Chinese languages – simplified and traditional – in a single document.  Improved predefined core extraction for PERSON and PRODUCTS entity types in most languages  Up to 25% greater throughput performance for pre-processing steps  Available on-demand processing with SAP HANA XS for faster processing and reduced memory consumption Text Mining Enhancements  Simpler access to text mining functions via SQL for faster development and deployment  New standard measures to determine the similarity of documents  Improved text mining XS API for better manageability and security
  • 16. © 2014 SAP AG. All rights reserved. 17 Innovate Predictive Analytics New and enhanced powerful native predictive analytic capabilities to empower and support the modern day applications and tools Predictive Analysis Library algorithms  New Algorithms Supported  Classification Analysis – Confusion Matrix and Parameter Slection & Model Evaluation  Clustering – Gaussian Mixture Model and Latent Dirichlet Allocation (LDA)  Time Series Analysis – Seasonal ARIMA and Test for White Noise, Trend, and Seasonality  Outlier Detection – Grubbs Outlier Test  Enhancements to existing algorithms including parameter selection & model evaluation  PAL integration with SAP HANA Data Series  Now over 65 AFL based predictive algorithms available to be accessed via SQLScript, application function modeler, and SAP predictive tools and to be consumed with analytic/BI tools as well as SAP, partner, and custom applications  In-database custom AFL algorithms – certification open to all
  • 17. © 2014 SAP AG. All rights reserved. 18 Innovate SAP HANA Dynamic Tiering Datacenter Readiness & Continued Technical Integration  SAP HANA Data Warehousing Foundation Option, Data Lifecycle Manager* (DLM) UI5 tool for rules based data aging strategies* and dynamic view generation  HA/DR support SAP HANA Dynamic Tiering  3rd party backup tools integration  Extended monitoring / admin / security  SAP HANA MDC support - one DT installation per tenant DB  Query optimizer improvements for performance Benefits  Expanded SAP HANA capacity with lower TCO  Big Data scale  Performance improvements for efficient reporting New and enhanced datacenter readiness, technical integration, administration, and data lifecycle management capabilities for cost effective multi-temperature data management This is the current state of planning and may be changed by SAP at any time.* Based on SPS10
  • 18. © 2014 SAP AG. All rights reserved. 19 Innovate SAP HANA smart data streaming Applications Stream (push) connect, query SAP HANA Platform with smart data streaming Cloud Ready:  New streaming web server to handle large event volumes Internet of Things:  New “Streaming Lite” designed for devices and IoT gateways Integrated configuration & monitoring  SAP HANA Cockpit integration for configuration and management  Automated configuration for SAP HANA data service Internet of Things: collect and monitor data from smart devices; immediately respond to new opportunities or imminent problems. Extract insight from real-time information streams and respond immediately Incoming Streams SAP HANA Platform Streaming Service Devices / IoT Gateway Streaming Lite
  • 19. © 2014 SAP AG. All rights reserved. 20 Innovate Workload Management Effectively balance & manage the platform resources for predictable performance and meet customer SLAs Features & Capabilities  New workload class to provide more granular controls  NUMA optimization to enable future support for very large (12TB+) nodes (CPU/Memory)  Better workload management by reducing CPU load with prioritized jobs and elimination of mini jobs Benefits  Maximize use of database resources  Cost effective price performance Scenarios & Use Cases  Workload management for mixed workloads by creating workload mapping to workload classes based on client application context
  • 20. © 2014 SAP AG. All rights reserved. 21 New and enhanced native series data storage and processing capabilities to support use cases in utilities, retail, banking, and financial services Features & Capabilities  Handle variation in timestamp data  Jittered data  Timezone adjustment  Query enhancement for more precise rounding for series data  Enhanced analytics with new analytic functions Benefits  Strong foundation for IoT  Enable analysis of real time operational intelligence from various devices Innovate Series Data Storage and Services
  • 21. © 2014 SAP AG. All rights reserved. 22 Simplify
  • 22. © 2014 SAP AG. All rights reserved. 23 Simplify Strengthened High Availability and Disaster Recovery New and enhanced HA/DR capabilities to ensure most demanding SLA and ensure business continuity and availability Geo clusters Metro cluster Sync Async Async Campus cluster Features & Capabilities  Reduce re-start and downtime window  Support for SAP HANA Dynamic Tiering  SAP HANA Cockpit support for SAP HANA System Replication  Backup & Recovery support for MDC  Incremental and differential backups Benefits  Further reduce planned and unplanned downtime
  • 23. © 2014 SAP AG. All rights reserved. 24 Simplify SAP HANA Multitenant Database Containers Datacenter Readiness  Extended features for backup and recovery  Feature extensions for cross tenant access (read access)  GUI Support for SAP HANA MDC (SAP HANA Cockpit, SAP Database Control Center) Cloud Readiness  Extended tenant isolation (user/group on OS level, internal communication, statement permission) Benefits  Lower capital expenditure with better utilization of HW resources  Easy management through enhanced GUI support  Higher security levels for building cloud deployments  Strong control over cross-tenant access Provide simplicity & flexibility and reduce TCO for SAP HANA cloud and on premise deployments Schema X Tenant DB X SAP HANA Instance Application X Schema Y Application Y Tenant DB Y HW OS System DB Tenant Alias Tenant Alias Application Users (X) Application Users (Y)
  • 24. © 2014 SAP AG. All rights reserved. 25 New and enhanced security features for enterprise ready deployment Features and Capabilities:  Simplified security administration and management with SAP HANA Cockpit  Flexible access control  Improved lifecycle management for analytic privileges  Supports for FIPS 140-2 Certified encryption library  Extended audit logging coverage  Enhanced security for multitenant database container isolation Simplify Enhanced Security
  • 25. © 2014 SAP AG. All rights reserved. 26 Simplify Administration & Monitoring Simplify administration and monitoring for multi-tenancy and cloud use Features and Capabilities  Simplified configuration optimized for cloud usage  SAP HANA Multitenant Database Containers support  Advanced performance analysis & monitoring  Better custom reporting for system health history  Extended application logs and audit logs Benefits  Easier maintenance of multi-tenancy DBs  Simplification of Cloud Maintenance SAP HANA DCC
  • 26. © 2014 SAP AG. All rights reserved. 27 Simplify Modeling & Development Tools Features and Capabilities  Continued Web IDE enhancements to include SAP HANA Studio features  ŸŸSAP HANA MDC support in modeler for easier development across tenants  New SQLScript syntax enhancement and Spatial support Benefits  Streamline application development Simple and effective application development framework for developers
  • 27. © 2014 SAP AG. All rights reserved. 28 Simplify Application Function Modeler Simple and effective way for the application developer to add advanced capabilities to applications and to manage the resulting data-flow models  New web-based flowgraph editor  Support for R, SDI & SDQ  Limited support for AFL  Create procedures or task runtime operations  Interoperability with SAP HANA Studio AFM  SAP HANA Studio Based AFM  New PAL function support including time series, clustering, classification, and statistics  General usability enhancements for an easier, simpler, and more functional experience
  • 28. © 2014 SAP AG. All rights reserved. 29 Source of best practice implementation examples, improving the quality of customer and partner content Enhanced Model  Programming artifacts enhancement in core data services  All views (i.e. Attribute & Analytical views) replaced with Calculation Views User Interface  Remodeled SAPUI5 code with XML based views Package Update  Download the latest copy from SMP Simplify SAP HANA Interactive Education (SHINE)
  • 29. © 2014 SAP AG. All rights reserved. 30 Summary
  • 30. © 2014 SAP AG. All rights reserved. 31 Key Takeaways for SAP HANA SPS10 One Platform for All Applications SAP HANA accelerates ROI on-premise or in the cloud • Deployment options, flexibility, and openness • Lowering TCO SAP HANA delivers actionable insight on Big Data • Supporting the next generation of Big Data & IoT solutions • Advanced analytics ecosystem in one platform SAP HANA simplifies landscape and streamlines deployment • Provide cost effective data storage and processing • Streamlined data management, development, and administration Accelerate Innovate Simplify
  • 31. © 2014 SAP AG. All rights reserved. 32 Planned Innovations Future DirectionToday SAP HANA Product road map overview – key themes and capabilities SAP Business Suite & SAP Business Warehouse support Data temperature management Multi-tenant database containers Enhanced predictive, text, and spatial application services Big data & IoT capabilities Openness for third-party tools, applications, and solutions Enhanced Hadoop integration Various flexible cloud and data center delivery models Complete enterprise-ready deployment capabilities Enhancements for multi-tenant database containers Additional data temperature management capabilities Additional cloud deployment capabilities & options Enhanced openness & platform support New & enhanced advanced application services Enhanced developer, administration, operations, and modeling capabilities Core engine enhancements Big data & IoT platform enhancements Extend cloud and data center deployment capabilities & options New and enhanced advanced analytic capabilities, features, & application services Continue third-party tool & application support Extend data modeling and data provisioning capabilities Continue platform management, administration, and development simplification This is the current state of planning and may be changed by SAP at any time. SPS09 – Q4 2014 Planned SPS10 - Q2 2015