Pass4sure C4040-250 power systems with power8 sales skills v1 by pass4sureexam

IBM Power Systems The new generation of systems designed for data-optimized Cloud

Power Systems with POWER8 are built with open innovation to put data to work across the enterprise Designed for big data

First server processor generation optimized for big data & analytics with POWER8 innovative design

Open innovation platform

Delivering the worldâ&#x20AC;&#x2122;s first open server ecosystem revolutionizing the way IT is developed & delivered

Superior cloud economics

Superior cloud price/performance advantages & security to move data-centric applications to the cloud

Power Systems are enhanced with new capabilities so clients are better equipped for Cloud, Analytics & Mobile workloads as well as handling complex, mission critical applications with confidence. 2

ÂŠ 2014 IBM Corporation 2

Our Journey and Commitment to Power Systems May

September

February

April

August

Watson Engagement Advisor

5 Power Systems Linux Centers around the world

Power development cloud

OpenPOWER Foundation open for business

IBM Innovation Enterprise Centers fuel systems Linux on Power

2013

October

2014

August

September

April

August

OpenPOWER Foundation announced

$1 billion Linux on Power investment

POWER8: 3+ years, $2.5 billion R&D investment with hundreds of patents

Ubuntu supports IBM Power Systems for simpler Linux migration

Inspur to develop system solutions using OpenPOWER innovations

ÂŠ 2014 IBM Corporation

https://www.pass4sureexam.com/C4040-250.html

Power Systems with POWER8 are built with open innovation to put data to work across the enterprise • New solutions for Hadoop, NoSQL and Elastic Storage

Designed for big data

• Enhanced Scale-Out Systems with up to 2 TB / system

Open innovation platform

• First solution from OpenPower – S824L with NVIDIA GPU

• New POWER8 Scalable enterprise systems

• Expanded Linux Support – IFLs and new Distributions

• Simplified Hybrid Cloud Management built on OpenStack

Superior cloud economics 4

• Enhanced virtualization management for PowerVM and PowerKVM • Power Enterprise Pools for private clouds and easier migration / integration with POWER8

Clients are rapidly expanding their data and analytics focus to enhance business opportunities

NoSQL Databases

Relational Databases Instant insight from real-time operational data Simplified transactions and reporting Reduced tuning and indexing

Analytics capability for multiple data types, often used in mobile and social workloads Scalability and flexibility for different data store models

Map Reduce Implementations A scalable data architecture A parallel and distributed programming model Open source community innovation (Apache Hadoop)

Systems built with POWER8 deliver 2:1 Core Performance,

Reduced complexity, space

4x Lower Storage

(>12x) and cost

requirements

Memory Bandwidth & Memory Capacity

with CAPI attached Flash

DB2 BLU Oracle in-memory SAP HANA

Redis, Cloudant, Mongo DB, Cassandra

ÂŠ 2014 IBM Corporation

High performance, data centric design with GPFS & Compression

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IBM Data Engine for Analytics A Customized Infrastructure Solution with Integrated Software Rapid Deployment

Big Data & Analytics Software

Infrastructure Services

POWER8 Servers

GZIP Compression

Scalable Networking

Scale Out Cluster File System Elastic Storage Server

ÂŠ 2014 IBM Corporation

Elastic Storage Server

Flexibility

Efficiency

Actionable Insights: preloaded Big Insights plus other analytic applications Grid infrastructure Services (Platform computing) POWER8 Systems: 2X Performance Optional Compression and Encryption High Performance, Scalable Networking

IBM Elastic Storage Server 1 copy of data versus 3 Scalable file system

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IBM Data Engine for NoSQL Reduce complexity and cost of NoSQL solutions Power CAPI-attached Flash model for NoSQL regains infrastructure control and reigns in the cost to deliver services.

Today’s NoSQL in memory (x86)

Differentiated NoSQL (POWER8 + CAPI Flash)

WWW WWW

10Gb Uplink

Load Balancer POWER8 Server 500GB Cache 500GB NodeCache 500GB NodeCache 500GB NodeCache 500GB NodeCache Node

Flash Array w/ up to 40TB

Infrastructure Attributes Infrastructure Requirements

Backup Nodes

192 threads in 4U Server drawer

40 TB of memory based Flash per 4U Drawer

Large Distributed (Scale out)

Large Memory per node

Shared Memory & Cache for dynamic tuning

Networking Bandwidth Needs

Elimination of I/O and Network Overhead

Load Balancing

Cluster solution in a box

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4Q ANNOUNCE: CAPI “Developer Kit” for early adopters

An invitation to innovate Introducing the CAPI Developer Kit CAPI card and Support documentation will be made available for early adopters who wish to innovate custom logic / accelerator logic on an FPGA attached via CAPI This will be an offering from OpenPOWER member Nallatech

FPGA IBM Supplied POWER Service Layer

Can be plugged into an Existing Capi enabled Tuleta system

AFU

Open space for Customization and innovation

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Scale-out Systems built with POWER8 • Portfolio is complemented by a full commitment to support an open stack of software - Ubuntu, SUSE, RedHat, PowerKVM, and Open Stack • New Capabilities (4Q2014) - 2 TB memory option in S824 - Linux SUSE SLES12 (LE) enabling easier application portability - S824L w/ NVidia GPU acceleration - Mixed Endian VM support of a single PowerKVM host - NEBS option for Telco

S812L

• 1-socket, 2U • Linux only

S822L

• 2-socket, 2U • Up to 24 cores • 1 TB memory • 9 PCI Gen3 slot • Linux only • PowerVM & PowerKVM

•NEBs option 9

S822

• 2-socket, 2U • Up to 20 cores • 1 TB memory • 9 PCIe Gen 3 • AIX & Linux • PowerVM

•NEBs option

S814

• 1-socket, 4U • Up to 8 cores • 512 GB memory • 7 PCIe Gen 3 • AIX, IBM i, Linux • PowerVM • 4 core/P05 for IBM i

S824L

• 2-socket, 4U • Up to 24 cores • Linux

•NVidia GPU •Annc/GA in 4Q14

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S824

• 2-socket, 4U • Up to 24 cores • 11 PCIe Gen 3 • AIX, IBM i, Linux • PowerVM • 1 TB memory

•2 TB memory option

IBM and NVIDIA deliver new acceleration capabilities for analytics, big data, and Java Runs pattern extraction analytic workloads 8x faster  Provides new acceleration capability for analytics, big data, Java, and other technical computing workloads  Delivers faster results and lower energy costs by accelerating processor intensive applications 

Power System S824L • • • •

Up to 24 POWER8 cores Up to 1 TB of memory Up to 2 NVIDIA K40 GPU Accelerators Ubuntu Linux running bare metal

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The OpenPOWER Foundation creates a pipeline of continued innovation and extends POWER8 capabilities • Opening the architecture and innovating across the full hardware & software stack • Driving an expansion of enterprise-class hardware and software • Building a complete sever ecosystem delivering maximum client flexibility

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Focus on ecosystem presence • Double the number of Academic Initiative universities by 2015 (over 100 new schools in 2014)

• OpenPOWER technology creates greater choice for customers • Open and collaborative development model • 60+ members & growing

• Drive University Challenge in fall semester 2014

Growing POWER8 Ecosystem • Over 800 Linux ISVs; ecosystem communities, 100K+ developers (i.e. Ubuntu, Zend, Opscode, etc) • Partner with SWG to grow Linux capabilities for targeted workloads

• Build and promote ‘Virtual Appliance’ Reference configurations • Create new GTM constructs for on-premise and cloud deployment

New Enterprise POWER8-based Systems for the Most Demanding Data Environments

•

Tackle your largest workloads with massive performance and scalability (up to 192 cores and 1,024 threads; 16 TB; 1,000 VMs)

•

Operate with more flexibility and efficiency

•

Maximize availability and serviceability

•

Instantly respond to the dynamic, changing needs of today’s business

•

Deploy new workloads faster and at lower cost with Power IFLs and Usage / Utility based pricing for Elastic COD

https://www.pass4sureexam.com/C4040-250.html * Initial GA supports 2 nodes, 64 cores, 8 TB with MES to 3 or 4 nodes in 2015

Designed for the most demand data workloads with the agility to handle today’s dynamic business environment Combining the architectural strengths of Power 795 with the modularity & efficiencies of Power 770/780 High performance compute nodes • •

Fastest processor in the industry Up to 48-cores* and 4 TB per node

Modular structure delivers efficiency and flexibility • •

Flexible growth up to 4 compute nodes * Improved space and energy efficiency

System design for High Availability and Serviceabilty • • •

Isolated, fully redundant System Control Unit Enhanced Serviceability Enhanced memory and system reliability

Economic efficiency with Capacity on Demand flexibility and IFLs • • 14

Elastic Capacity on Demand Mobile Capacity for Power Enterprise Pools

*All statements regarding IBM's future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.

POWER8 Enterprise Systems 192 cores*

1 – 4 node*, 4-16S* (12c) Up to 16 TB Memory

Power E880 9119-MHE

128* cores @ 4.35 GHz 1 – 4 node*, 4-16S (8c) Up to 16 TB Memory

80 cores @ 4.19 GHz 1 – 2 node, 4 - 8S (10c) Up to 8TB* Memory

Power E870 9119-MME

64c @ 4 GHz

1 – 2 node, 8S (8c) Up to 8TB* Memory

*Statement of Direction. All statements regarding IBM's future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.

Accelerating Availability of POWER8 Enterprise Systems 192 cores*

Power E880 9119-MHE

1 – 4 node, 4-16S (12c)* Up to 16 TB Memory

GA = 4Q14

128* cores @ 4.35 GHz 1 – 4 node*, 4-16S (8c) Up to 16 TB Memory

64-cores 8 TB

80 cores @ 4.19 GHz 1 – 2 node, 4 - 8S (10c) Up to 8TB* Memory

Power E870 9119-MME

64c @ 4 GHz

1 – 2 node, 4-8S (8c) Up to 8TB* Memory

*Statement of Direction. All statements regarding IBM's future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.

POWER8 Enterprise Systems 1H15 SOD : 192 cores*

Power E880 9119-MHE

1 – 4 node, 4-16S (12c)* Up to 16 TB Memory

128 cores** @ 4.35 GHz 1 – 4 node**, 4-16S (8c) Up to 16 TB** Memory

64-cores 8 TB

Expand to 128 cores

80 cores @ 4.19 GHz 1 – 2 node, 4 - 8S (10c) Up to 8TB* Memory

Power E870 9119-MME

64c @ 4.02 GHz

1 – 2 node, 4-8S (8c) Up to 8TB* Memory

*Statement of Direction. All statements regarding IBM's future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.

Power E870 & E880 servers Power E870

• • • •

Power E880 Increased performance and scale Built-in PowerVM Enterprise Edition Enterprise RAS System Control Unit (2U) Built-in Active Memory Mirroring for Hypervisor More performance per-watt 8 PCIe adapter slots per node Up to 4 PCIe I/O drawers per Node* Share resources in Power Enterprise Pool Medium Software tier 24x7 Warranty

8 to 80 cores @ 4.19 GHz 8 to 64 cores @ 4.0 GHz 256 to 4TB Memory (8TB SOD*) 1 or 2 nodes (5U) per system

• • • • •

8 to 128 cores @ 4.35 GHz Up to 192 cores* in 2015 256 to 16TB Memory 1 to 4 nodes (5U) per system Built-in initial Elastic CoD days

*Statement of Direction to support up to 8TB memory on E870 and up to 4 PCIe I/O Expansion Drawers per node on Power E870 & E880 in 2015. Initial GA in 4Q14 supports 4TB maximum on E870 and 0 or 2 PCIe I/O drawers per node on E870 & E880.

More Scalability than an other 8-socket systems (best Intel Xeon and best Oracle SPARC) SAP SD Standard Application Benchmark Results, 2-Tier: SD Benchmark Users SAP enhancement package 5 for SAP ERP 6.0 Source: http//www.sap.com/solutions/benchmark/sd2tier.epx

1.6X more users than Ivybridge-EX v2 ~ 2X more users than Oracle T5-8 with 1/3 less cores! 120c

80c

120c

128c

Oracle T5-8 T5 128c/1024t

Fujitsu PQ 2800E Intel E7-8890 v2, 120c/240t

IBM x3950 X6 Intel E7-8890 v2 120c/240t

IBM Power E870 POWER8 80c/640t

(1) IBM Power System E870 on the two-tier SAP SD standard application benchmark running SAP enhancement package 5 for the SAP ERP 6.0 application; 8 processors / 80 cores / 640 threads, POWER8; 4.19GHz, 2048GB memory, 79,750 SD benchmark users, running AIX® 7.1 and DB2® 10.5, dialog response: 0.97 seconds, line items/hour:8,722,000, dialog steps/hour: 26,166,000 SAPS: 436,100 database response time (dialog/update): 0.013 sec / 0.026 sec, CPU utilization: 99%, Certification #: 2014034 Results valid as of 10/3/14. Source: http://www.sap.com/benchmark. (2) IBM System x3950 on the two-tier SAP SD standard application benchmark running SAP enhancement package 5 for the SAP ERP 6.0 application; 8 processors / 120 cores / 240 threads, Intel Xeon Processor E7-8890 v2; 2.80GHz, 1024GB memory, 49,000 SD benchmark users, running Windows Server 2012 Standard Edition and DB2® 10, dialog response: 0.85 seconds, line items/hour: 5,421,670, dialog steps/hour: 16,265,000 SAPS: 271,080; database response time (dialog/update): 0.0083 sec / 0.022 sec, CPU utilization: 98%, Certification #: 2014024 Results valid as of 10/3/14. Source: http://www.sap.com/benchmark. 2014 (3) Fujitsu19 PRIMEQUEST © 2800E on theIBM two-tierCorporation SAP SD standard application benchmark running SAP enhancement package 5 for the SAP ERP 6.0 application; 8 processors / 120 cores / 240 threads, Intel Xeon Processor E7-8890 v2; 2.80GHz, 1024GB memory, 49,000 SD benchmark users, running Windows Server 2012 Standard Edition and SQL Server 12, dialog response: 0.97 seconds, line items/hour: 5,193,670, dialog steps/hour: 15,581,000 SAPS: 259,680; database response time (dialog/update): 0.015 sec / 0.030 sec, CPU utilization: 99%, Certification #: 2014003 Results valid as of 10/3/14. Source: http://www.sap.com/benchmark. (4) (5) Oracle SPARC Server T5-8 on the two-tier SAP SD standard application benchmark running SAP enhancement package 5 for the SAP ERP 6.0 application; 8 processors/128 cores/1024 threads, SPARC T5; 3.60 GHz, 2,048 GB memory; 40,000 SD benchmark users, running Solaris® 11 and Oracle 11g; Certification # 2012013008. Results valid as of 10/3/14. Source: http://www.sap.com/benchmark. SAP and all SAP logos are trademarks or registered trademarks of SAP AG in Germany and in several other countries. All other product and service names mentioned are the trademarks of their respective companies.

Superior cloud economics: simplified virtualization & cloud management

ÂŠ 2014 IBM Corporation

https://www.pass4sureexam.com/C4040-250.html

Superior Cloud economics: Simplified virtualization and hybrid cloud management

Cloud Manager with OpenStack  Extended capability to enable customization & quicker deployment of OpenStack-based cloud solutions  Management across heterogeneous systems, on premises and off premises

 Simplified virtual IO administration  Risk reduction by using templates for repeatable deployment of workloads  VM restart accelerates workload recovery

 Run any combination of Linux distros via Mixed Endian VM support on a single PowerKVM host  Improve performance using PCI passthru for dedicated I/O  Better availability through PCIe hot plug support

 Expanding device and OS support  Import existing KVM VMs  Simplified maintenance with one click system evacuation  Increase scaling by 100% to 20 hosts; 2000 VMs

*All statements regarding IBM's future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only. 21

IBM Delivers the most powerful foundation for private and public cloud infrastructure

Clients are asking for: • Extreme flexibility, instant response

POWER7+

• Higher Availability • Economic Efficiency • Investment Protection Power E880 Power 780

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Power E880

Power Enterprise Pools: The most powerful foundation for a flexible, economically advantaged private and hybrid cloud IT infrastructure Extreme flexibility to instantly respond to changing business demands

POWER7+

• Simpler application workload balancing • Easily manage periodic workload spikes and bursting

High Availability • Reduced planned downtime due to system maintenance • Enhanced disaster recovery capabilities

Economic Efficiency • Operate at 80-90% utilization with flexible capacity • Minimize excess capacity required to manage availability or contingency for workload uncertainties • Usage and utility based pricing

Investment Protection and simplified technology transition to POWER8 • Upgrade / Share / Move POWER7+ resources & software to POWER8 • Transition applications to POWER8 with increased business flexibility 23

• Mobile COD: move processor and memory resources amongst systems • Elastic COD: for periodic spikes in workload demand • OpenStack: for simplified Cloud and Virtualization Management

*All statements regarding IBM's future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.

Deploy a Power Enterprise Pool today and your infrastructure is ready for the future Today, Power Enterprise Pools provides Simpler application workload balancing Reduced planned downtime due to system maintenance Enhanced disaster recovery capabilities

POWER7+

Flexible, efficient private cloud infrastructure

and tomorrow with POWER8…  Provides options for more granularity & flexibility when transitioning applications to POWER8  Tremendous asset/investment protection  Future enhancements planned* to improve automation for high availability and disaster recovery environments

with POWER8

Power Systems with POWER8 are built with open innovation to put data to work across the enterprise • New solutions for Hadoop and NoSQL databases and Elastic Storage to simplify operations and reduce cost

Designed for big data

Open innovation platform

• New and enhanced Power Scale-Out Systems and solutions with up to 2 TB / system • Scalable enterprise systems for the most demanding data environments with leadership performance and scale, up to 16 TB / system and over 80% utilization • First solution from the OpenPower Foundation – S824L with NVIDIA GPU for technical computing and high performance analytics • Simplify operations and reduce costs by running new Linux workloads on POWER8based IFLs • New Linux distributions & turbo charge LAMP solution stacks • Simplified Hybrid Cloud Management with Cloud Manager for OpenStack for a single point of control

Superior cloud economics 25

IBM Confidential – Page 25

• Enhanced virtualization management with expanded storage/networking and OS support and increased scalability

• Power Enterprise Pools enable enhanced business flexibility and availability with the ability to migrate POWER7 Mobile COD to POWER8 systems

Infrastructure Matters: Open Innovation with open innovation to put data to work across the enterprise Infrastructure Solutions & Expanding Ecosystem Customized infrastructure solutions delivering new, unprecedented value

Infrastructure System Software Expanding choice, simplifying management, lowering costs

IBM Data Engine for Analytics IBM Data Engine for NoSQL IBM S824L with Nvidia IBM BLU Acceleration for Power Systems

Scale Out Systems

Enterprise Systems & Pools

Leadership performance and resiliency leveraging new, Open Innovation

Designed for the most demanding data environments with agility and efficiency

POWER7+

Power E880

ÂŠ 2014 IBM Corporation

Power 780 26

Power E880

Open innovation to put data to work

BIG DATA & ANALYTICS Because the speed of business is money

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Tendencias del mercado Demanda de respuestas en real time es una necesidad.

• Vivimos en la generación del “NOW”. • Los datos crecen constantemente, y los usuarios esperan respuestas más rápidas. • Movilidad y el uso “democrático” de la información y la analítica hacen de la tecnologia in-memory y mensajería distribuida un requerimiento obligado. La velocidad cambia el negocio. • Nuevas y modernas arquitecturas de datawarehouse dinámicas reemplazarán los modelos tradicionales de datos por la demanda de datos en real-time. 29

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Big Data y analítica del negocio La Revolución de los datos 30 billion RFID 12+ TBs

tags today (1.3B in 2005)

of tweet data every day

4.6 billion camera phones world wide

data every day

? TBs of

IT Logs

80% De los datos mundiales NO ESTRUCTURADOS log data every day

devices sold annually

2+ billion

25+ TBs of

100s of millions of GPS enabled

meters in 2009… 200M by 2014

people on the Web by end 2011

Big Data: todo son datos Paradigma para extraer valor Transaccional & Datos Aplicativos

Contenido Empresarial

Dato Social

Data Sensores

• Volumen

• Variedad

• Velocidad

• Estructurado

• No estructurado

• Estructurado

• Entrada / Salida

• Volumen

• Veracidad

• Ingestión

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Big Data: todo son datos Gestión de los datos: No es única Mobile Storefront

E-commerce

Sales Analysis

Demand Analysis

Key 1

JSON doc 1

Meter 1

Data series 1

Key 2

JSON doc 2

Meter 2

Data series 2

Transactional Database

JSON Database

Analytics Data Warehouse

Transaction Processing

Mobile Data Serving

Reporting and Analytics

Real Time Fraud Detection

Operational Data Warehouse

Operational Analytics

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Time Series Database

Sensor Data Analysis

Analítica dá la clave para incrementar la competitividad Compañías que realizan analíticas sofisticadas superan a su competencia

2.6x

1.6x

mas rendimiento que sus iguales del sector

Mas ingresos

260% estar entre los mejores del sector

2.5x Valorización del precio del stock

Source: The New Intelligent Enterprise, a joint MIT Sloan Management Review and IBM Institute of Business Value analytics research partnership. Copyright © Massachusetts Institute of Technology 2011. Outperforming in a data-rich, hyper-connected world, IBM Center for Applied Insights study conducted in cooperation with the Economist Intelligence Unit and the IBM Institute of Business Value. 2012

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Cuantificar valor de la analítica

Speed equals 39% faster payment* 59

reduced days to payment

business growth

days to payment

increased cash flow

2011

2012

2013

*Based on analysis done by Xero, a SaaS company specialising in accounting software, 2014. Link to blog & infographic: HERE Average closing of accounts Source: SAP value engineering study

Speed of Business Process, Is Money

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La l贸gica del Data Warehouse Contemplar componentes, prop贸sitos, zonas Vertical Industry Accelerators Advanced Application Capabilities

Machine and sensor data Image and video

Actionable insight

Real-time processing & analytics

Data types

Operational systems

Deep analytics & modeling

Exploration, landing and archive

Predictive analytics and modeling

Trusted data

Enterprise content

Reporting & interactive analysis

Transaction and application data

Decision management

Reporting, analysis, content analytics

Social data Third-party data

Logical Data Warehouse Information Integration & Governance

漏 2014 IBM Corporation

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Discovery and exploration

La l贸gica del Data Warehouse Ejemplo de la Soluci贸n de IBM Vertical Industry Accelerators BigSQL and SQL based applications Advanced Application Capabilities Federation and In-memory Real-time processing & analyticsfederated

Data types

Machine and sensor data Image and video

Operational systems

cube

Deep analytics & modeling

Exploration, landing and archive Trusted data

ORACLE MicrosoftReporting & interactive Teradata analysis

Enterprise content Transaction and application data

Actionable insight Decision management

Predictive analytics and modeling

Reporting, analysis, content analytics

Social data

BigMatch

Third-party data

Logical Data Warehouse

Streams 36

漏 2014 IBM Corporation

Information Integration & Governance

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Discovery and exploration

¿Qué hace diferente BLU Acceleration? Innovacionees de IBM Research & Developments Labs. Next Generation In-Memory

Analyze Compressed Data

In-memory columnar processing with dynamic movement of data from storage

Patented compression technique that preserves order so data can be used without decompressing

C1 C2 C3 C4 C5 C6 C7 C8

Encoded CPU Acceleration

Data Skipping

Multi-core and SIMD parallelism (Single Instruction Multiple Data) Instructions

Results

Skips unnecessary processing of irrelevant data Data

BLU Shadow Tables  Dedicated analytics and reporting  Operational analytics  Mixed workload analytics with OLTP OLTP Indexes Analytical Indexes

Traditional row-based tables, with indexes for, for tables dedicated to OLTP or Operational Analytics

Simple BLU tables ( columnar ) for tables dedicated to analytics and reporting workloads OLTP Indexes

Single Server All 3 scenarios in a single database 38

Traditional row-based tables, with indexes and BLU Shadow Tables for tables with mixed workloads • Power of BLU • Faster analytics and reporting • Faster OLTP • Simpler environment

Oportunidad: Big Data y Analytics 30 billion RFID tags today (1.3B in 2005)

TBs  12+ PROBLEMAS DE RENDIMIENTO of tweet data every day

data every day

? TBs of

IT Logs

SAP BW CARGAS ANALÍTICAS

 COMPETENCIA:

80%

SAP con HANA ORACLE con EXADATA TERADATA Of world’s data is unstructured MS-SQL 25+ TBs of log data every day

PREMISA: AHORRO DE COSTES 76 million smart 39

meters in 2009… 200M by 2014

4.6 billion camera phones world wide

100s of millions of GPS enabled devices sold annually

2+ billion people on the Web by end 2011

DB2 with BLU vs Microsoft SQLServer Query Response Time: (In Seconds, Less is Better) DB2 (extrapolated to 8 cores, 80% scalability) v/MS SQL (8 cores) 90

80 70

Query time (s)

50 40 30 20 10 0 1

Query Runs DB2 BLU Factored

ÂŠ 2014 IBM Corporation

MS SQL

7X-8X Better Performance with equal cores

DB2 with BLU vs Microsoft SQLServer Query Response Time: (In Seconds, Less is Better) BestOffer Less Cores & Licenses but Much more Performance => Better SLA DB2 BLU (2 cores) v/MS SQL (8 cores) 90 80

Query Time (s)

70 60 50 40

30 20 10 0 1

Query Runs DB2 BLU

MS SQL

“56% better performance, with 25% of the cores ! Wow, that’s great !”

Estimated HW Infrastructure for Production â&#x20AC;&#x201C; Year 1 and Year 5 assumption yearly 20% growth Source Oracle database 8 TB on BW 7.0 (non-unicode) DB2 on 2-tier architecture (on one server all components) HANA on 3-tier rachitecture (database and application on different servers)

ÂŠ 2014 IBM Corporation

Huge savings through DB2 Technology Often DB2 BLU needs 70-95% less HW

COMPARATIVA ENTRE IBM POWER + DB2 contra ORACLE EXADATA NECESIDAD INICIAL: Sistema SAP (180 sistemas, 48 entornos de producción) CONTINUIDAD DEL NEGOCIO: Contingencia en 2 centros separados NOTA: • El ejercicio de sizing se ha basado en la metodología SAP con entornos para Producción, Pre-Producción y Desarrollo/Q • El nivel de rendimiento SAPS ha sido el mismo en ambos casos • La infraestructura IBM es POWER8 + AIX + DB2 10.5 y la de Oracle es EXADATA (INTEL`+ Oracle Linux + Oracle DB) • La opción de IBM permite virtualización • El ejercicio es una estimación y está orientada a mostrar las diferencias de infraestructura entre ambas soluciones Customer runs DB2 on POWER

- 180 systems, 48 production - 26 HA (LPM*) + 26 DR (PowerHA) - 2 x data centers

Possible Exadata implementation ** - 180 systems, 48 production - 26 HA + 26 DR clusters - 2 x BIGGER or more data centers  6 full racks for production + HA  6 full racks for DR  6 full racks for test/QA  6 full racks for dev  6 full racks for the rest 36 systems

 4 x POWER servers (160 cores)

 ~30 full racks (5760 cores) 43

* LPM - AIX live partition mobility ** No virtualization + limited number of databases per rack (e.g. 8 database servers per full rack, max 24 processor per database)

COMPARATIVA ENTRE IBM POWER + DB2 contra SAP HANA NECESIDAD INICIAL: Sistema SAP (180 sistemas, 48 entornos de producción) CONTINUIDAD DEL NEGOCIO: Contingencia en 2 centros separados NOTA: • • • • • •

El ejercicio de sizing se ha basado en la metodología SAP con entornos para Producción, Pre-Producción y Desarrollo/Q El nivel de rendimiento SAPS ha sido el mismo en ambos casos La infraestructura IBM es POWER8 + AIX + DB2 10.5 y la de SAP HANA (INTEL+ Linux + HANA) La opción de IBM permite virtualización El ejercicio es una estimación y está orientada a mostrar las diferencias de infraestructura entre ambas soluciones 1 HANA UNIT = 64 Gb RAM = 13 K€

Customer runs DB2 on POWER

- Customer runs DB2 on POWER - 180 systems, 48 production - 26 HA (LPM*) + 26 DR (PowerHA) 2 x data centers

Possible HANA implementation ** - 180 systems, 48 production - 26 HA + 26 DR clusters - 2 x BIGGER or more data centers  48 appliance servers for production  52 appliance servers for HA+DR clusters  up to 48 appliance servers for test/QA  up to 48 appliance servers for dev  up to 36 appliance servers for rest

 4 x POWER servers (160 cores)

 101-232 x HANA servers (4040-9400 cores) 44

* LPM - AIX live partition mobility ** No virtualization + limited number of databases per rack (e.g. 8 database servers per full rack, max 24 processor per database)

Balluff GmbH – Game-changing boost to information delivery with IBM DB2 enables rapid insight

98 percent faster access to complex reports

30 percent typical report speed increase

50 percent faster SAP ERP response times

Solution Components •SAP® Business Warehouse, SAP ERP, SAP ERP HCM, SAP CRM, SAP NetWeaver® Enterprise Portal, SAP PI

•IBM® AIX®, DB2® for Linux, UNIX and Windows with BLU Acceleration, PowerHA® SystemMirror®, PowerVM®, System Storage SAN Volume Controller, Tivoli® Storage FlashCopy® Manager, IBM® Power® 750, FlashSystem™ 840, XIV®, IBM System and Technology Group Lab Services, IBM Software Group Services

Business challenge: Balluff knew that slow access to finance and business reports threatened productivity and potential growth. How could executives gain fast insight into critical data to make better business decisions?

The solution: The company moved its SAP Business Warehouse to IBM® DB2® with BLU Acceleration, running on IBM Power Systems™ with IBM AIX® and IBM PowerHA®. “IBM DB2 with BLU Acceleration is the ideal solution for us because we can gain new insights into business data more rapidly. Deploying IBM DB2 with BLU Acceleration was a low-risk project; implementation was quick and easy without affecting availability.” —Bernhard Herzog, Team Manager Information Technology SAP, Balluff

Deep Blue IBM Solution SAP Stack 45

Big Data & Analytics

Big Data & Analytics The Business Value, Why Speed is Money

Business Analytics Accelerator Increase productivity & drive business growth Adding Value, not complexity Dynamic Query

Dynamic Cubes

Infrastructure That Matters

82X

más rápido

C1 C2 C3 C4 C5 C6 C7 C8

DB2 with BLU

vs. Competitor Row Store Database on Ivy Bridge (x86)1

Compatible Query

1) Based on IBM internal tests as of April 7, 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 2.6TB BI workload in a controlled laboratory environment. Test measured 60 concurrent user report throughput executing identical Cognos report workloads. Competitor configuration: HP DL380p, 24 cores, 256GB RAM, Competitor row-store database, SuSE Linux 11SP3 (Database) and HP DL380p, 16 cores, 384GB RAM, Cognos 10.2.1.1, SuSE Linux 11SP3 (Cognos). IBM configuration: IBM S824, 24 cores, 256GB RAM, DB2 10.5, AIX 7.1 TL2 (Database) and IBM S824, 16 of 20 cores activated, 384GB RAM, Cognos 10.2.1.1, SuSE Linux 11SP3 (Cognos). Results may not be typical and will vary based on actual workload, configuration, applications, queries and other variables in a production environment. 82x calculation based on geometric mean calculation giving equal weighting to the report per hour (RPH) improvements in the three categories of simple, intermediate, and complex reports. GEOMEAN(RPH_simple,RPH_intermediate,RPH_complex) = GEOMEAN(18.85,40.07,747.63)=82.66

POWER + BLU Acceleration pero y â&#x20AC;Ś. How do we move forward?

Elegir una opción de las dos configuraciones Small Configuration

Large Configuration

Existing Data Warehouse

•

Supports up to 5 TB uncompressed active data (1 TB compressed data)

Supports up to 10 TB uncompressed active data (3 TB compressed data)

Hardware Configuration

•

Power S814: 8 cores, 3.72 GHz

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Power S824: 24 cores, 3.52 GHz

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Memory: 256 GB DRAM

•

Memory: 1 TB DRAM

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Storage:

•

Storage:

• •

146 GB (RAID 1) (OS/PGM VG) 2.4 TB HDD (RAID 5) (Data VG)

•

AIX Standard Edition

•

PowerVM Enterprise Edition

Software Configuration •

DB2 Advanced Workgroup Edition

•

2.4 TB HDD (RAID 5) (Data VG)

•

1.55 TB SSD (DB2 overflow cache)

•

146 GB (RAID 1) (OS/PGM VG)

•

AIX Standard Edition

•

PowerVM Enterprise Edition

Software Configuration •

DB2 Advanced Workgroup Edition

PRECIO MUY INTERESANTE ** PREGUNTE A SU VENDEDOR DE IBM ** 48

Configurations Try &Buy, include HW & SW New BLU POC Program 

Stack: Power 8, DB2 10.5 with BLU Acceleration and Cognos BI 10.2 with Dynamic Cubes



Target Use Cases: “Business Intelligence Workload Accelerator”



Provides acceleration for BI workloads in competitive or back-level environments

Can work in any environment 

Commodity hardware accounts



Microstrategy, Business Objects



SQLServer, Oracle



Is an accelerator to your existing environment

Configurations 

 Announcement Highlights – Announced: June, 2014 – Leverages established Power POC processes – Define the free trial period – Try with your own data

 Owners for Additional Information

5 pre-defined Power 8, DB2 BLU and Cognos BI configurations to support various workload sizes

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