IBM C4040-250 Exam

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IBM Power Systems

• The new generation of systems designed for
  data-optimized Cloud

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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 innovationplatform Delivering the worlds 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.
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Our Journey and Commitment to Power Systems
May
February
August
October
IBM Innovation Centers fuel Linux on Power
Enterprise systems
Watson Engagement Advisor
5 Power Systems Linux Centers around the world
Power development cloud
OpenPOWER Foundation open for business
2013
2014
April
April
September
August
Inspur to develop system solutions using
OpenPOWER innovations
Ubuntu supports IBM Power Systems for simpler
Linux migration
POWER8 3 years, 2.5 billion RD investment
with hundreds of patents
OpenPOWER Foundation announced
1 billion Linux on Power investment
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Power Systems with POWER8 are built with open
innovation to put data to work across the
enterprise
Designed for big data New solutions for Hadoop, NoSQL and Elastic Storage Enhanced Scale-Out Systems with up to 2 TB / system New POWER8 Scalable enterprise systems
Open innovationplatform First solution from OpenPower S824L with NVIDIA GPU Expanded Linux Support IFLs and new Distributions
Superior cloud economics Simplified Hybrid Cloud Management built on OpenStack Enhanced virtualization management for PowerVM and PowerKVM Power Enterprise Pools for private clouds and easier migration / integration with POWER8
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Clients are rapidly expanding their data and
analytics focus to enhance business opportunities
Map Reduce Implementations
NoSQL Databases
Relational Databases
Analytics capability for multiple data types,
often used in mobile and social
workloads Scalability and flexibility for
different data store models
A scalable data architecture A parallel and
distributed  programming model Open source
community innovation (Apache Hadoop)
Instant insight from real-time operational
data Simplified transactions and
reporting Reduced tuning and indexing
Systems built with POWER8 deliver
4x Lower Storage requirements High performance,
data centric design with GPFS Compression
21 Core Performance, Memory Bandwidth Memory
Capacity DB2 BLU Oracle in-memory SAP HANA
Reduced complexity, space (gt12x) and cost with
CAPI attached Flash Redis, Cloudant, Mongo DB,
Cassandra
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IBM Data Engine for Analytics
A Customized Infrastructure Solution with
Integrated Software
Rapid Deployment 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
Big Data Analytics Software
Infrastructure Services
GZIP Compression
POWER8 Servers
Scalable Networking
Scale Out Cluster File System
Elastic Storage Server
Elastic Storage Server
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IBM Data Engine for NoSQLReduce complexity and
cost of NoSQL solutions
Power CAPI-attached Flash model for NoSQL regains
infrastructure control and reigns in the cost to
deliver services.
Differentiated NoSQL (POWER8 CAPI Flash)
Todays NoSQL in memory (x86)
WWW
WWW
10Gb Uplink
10Gb Uplink
Load Balancer
POWER8 Server
500GB Cache Node
500GB Cache Node
500GB Cache Node
Flash Array w/ up to 40TB
500GB Cache Node
500GB Cache Node

• Infrastructure Attributes
• 192 threads in 4U Server drawer
• 40 TB of memory based Flash per 4U Drawer
• Shared Memory Cache for dynamic tuning
• Elimination of I/O and Network Overhead
• Cluster solution in a box

• Infrastructure Requirements
• Large Distributed (Scale out)
• Large Memory per node
• Networking Bandwidth Needs
• Load Balancing

Backup Nodes
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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
AFU
Open space for Customization and innovation
Can be plugged into an Existing Capi
enabled Tuleta system
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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 S822L S822 S814 S824L S824
1-socket, 2U Linux only 2-socket, 2U Up to 24 cores 1 TB memory 9 PCI Gen3 slot Linux only PowerVM PowerKVM NEBs option 2-socket, 2U Up to 20 cores 1 TB memory 9 PCIe Gen 3 AIX Linux PowerVM NEBs option 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 2-socket, 4U Up to 24 cores Linux NVidia GPU Annc/GA in 4Q14 2-socket, 4U Up to 24 cores 11 PCIe Gen 3 AIX, IBM i, Linux PowerVM 1 TB memory 2 TB memory option
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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)
• Drive University Challenge in fall semester 2014

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

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

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

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2014 International Business Machines Corporation
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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 todays business
• Deploy new workloads faster and at lower cost
  with Power IFLs and Usage / Utility based
  pricing for Elastic COD

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Initial GA supports 2 nodes, 64 cores, 8 TB
with MES to 3 or 4 nodes in 2015
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Designed for the most demand data workloads with
the agility to handle todays 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
• 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.
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POWER8 Enterprise Systems
Power E880 9119-MHE
Power E870 9119-MME
1 E880 with 3 or 4 nodes, 96 or 128 cores,
respectively, will GA in 2Q 2015. 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.
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Accelerating Availability of POWER8 Enterprise
Systems
192 cores 1 4 node, 4-16S (12c) Up to 16 TB
Memory
GA 4Q14
Power E880 9119-MHE
128 cores _at_ 4.35 GHz 1 4 node, 4-16S (8c) Up
to 16 TB Memory
64-cores 8 TB
80 cores _at_ 4.19 GHz 1 2 node, 4 - 8S (10c) Up
to 8TB Memory
Power E870 9119-MME
64c _at_ 4 GHz 1 2 node, 4-8S (8c) Up to 8TB
Memory
1 E880 with 3 or 4 nodes, 96 or 128 cores,
respectively, will GA in 2Q 2015. 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.
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POWER8 Enterprise Systems
1H15
SOD 192 cores 1 4 node, 4-16S (12c) Up to
16 TB Memory
Power E880 9119-MHE
128 cores _at_ 4.35 GHz 1 4 node, 4-16S
(8c) Up to 16 TB Memory
64-cores 8 TB
Expand to 128 cores
80 cores _at_ 4.19 GHz 1 2 node, 4 - 8S (10c) Up
to 8TB Memory
Power E870 9119-MME
64c _at_ 4.02 GHz 1 2 node, 4-8S (8c) Up to 8TB
Memory
1 E880 with 3 or 4 nodes, 96 or 128 cores,
respectively, will GA in 2Q 2015. 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.
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Power E870 E880 servers
Power E880
Power E870

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

• 8 to 128 cores _at_ 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.
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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!

• 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/hour8,722,000, 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.
• 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.
• Fujitsu PRIMEQUEST 2800E 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 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.
• (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.

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Superior cloud economics simplified
virtualization cloud management
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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

• 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

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

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

• Clients are asking for
• Extreme flexibility, instant response
• Higher Availability
• Economic Efficiency
• Investment Protection

POWER7
Power E880
Power 780
Power E880
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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
• 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
  increasedbusiness flexibility

POWER7

• 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.
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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
• Flexible, efficient private cloud infrastructure

POWER7
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
All statements regarding IBM's future direction
and intent are subject to change or withdrawal
without notice, and represent goals and
objectives only.
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Power Systems with POWER8 are built with open
innovation to put data to work across the
enterprise
Designed for big data New solutions for Hadoop and NoSQL databases and Elastic Storage to simplify operations and reduce cost 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
Open innovationplatform 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 POWER8-based IFLs New Linux distributions turbo charge LAMP solution stacks
Superior cloud economics Simplified Hybrid Cloud Management with Cloud Manager for OpenStack for a single point of control 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
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Infrastructure Matters Open Innovation with open
innovation to put data to work across the
enterprise
Infrastructure Solutions Expanding Ecosystem
Infrastructure System Software
Expanding choice, simplifying management,
lowering costs
Customized infrastructure solutions delivering
new, unprecedented value
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
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• BIG DATA ANALYTICS

• Because the speed of business is money

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Tendencias del mercadoDemanda 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.

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Big Data y analítica del negocioLa Revolución de
los datos
12 TBs of tweet data every day
IT Logs
? TBs ofdata every day
25 TBs oflog data every day
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Big Data todo son datosParadigma para extraer
valor
Transaccional Datos Aplicativos
Data Sensores
Contenido Empresarial
Dato Social
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Big Data todo son datosGestión de los datos No
es única
SalesAnalysis
Demand Analysis
Real Time Fraud Detection
MobileStorefront
E-commerce
Analytics Data Warehouse
Transactional Database
JSON Database
Time Series Database
Operational Data Warehouse
Mobile Data Serving
Transaction Processing
Reporting and Analytics
Sensor Data Analysis
Operational Analytics
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Analítica dá la clave para incrementar la
competitividad
Compañías que realizan analíticas sofisticadas
superan a su competencia
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
Cierre Contable Mejora del flujo de caja
Speed equals 39 faster payment
reduced days to payment
increased cash flow
business growth
Based on analysis done by Xero, a SaaS company
specialising in accounting software, 2014. Link
to blog infographic HERE
Speed of Business Process, Is Money
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La lógica del Data WarehouseContemplar
componentes, propósitos, zonas
Vertical Industry Accelerators
Advanced Application Capabilities
Information Integration Governance
Data types
Real-time processing analytics
Actionable insight
Decision management
Logical Data Warehouse
Machine andsensor data
Exploration, landing andarchive
Deep analytics modeling
Operational systems
Predictive analytics and modeling
Image and video
Trusted data
Enterprise content
Reporting interactive analysis
Reporting, analysis, content analytics
Transaction andapplication data
Social data
Discovery and exploration
Third-party data
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La lógica del Data WarehouseEjemplo de la
Solución de IBM
Vertical Industry Accelerators
Advanced Application Capabilities
Information Integration Governance
Real-time processing analytics
Data types
Actionable insight
Decision management
Logical Data Warehouse
Machine andsensor data
Exploration, landing andarchive
Deep analytics modeling
Operational systems
Predictive analytics and modeling
Image and video
Trusted data
ORACLE Microsoft Teradata
Enterprise content
Reporting interactive analysis
Reporting, analysis, content analytics
Transaction andapplication data
Social data
BigMatch
Third-party data
Discovery and exploration
Streams
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Qué hace diferente BLU Acceleration?Innovacionee
s de IBM Research Developments Labs.
Next Generation In-Memory In-memory columnar
processing with dynamic movement of data from
storage
Analyze Compressed Data Patented compression
technique that preserves order so data can be
used without decompressing
Encoded
CPU Acceleration Multi-core and SIMD
parallelism(Single Instruction Multiple Data)
Data Skipping Skips unnecessary processing of
irrelevant data
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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
Traditional row-based tables, with indexes and
BLU Shadow Tables for tables with mixed workloads
OLTP Indexes

• Power of BLU
• Faster analytics and reporting
• Faster OLTP
• Simpler environment

Single Server All 3 scenarios in a single database
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Oportunidad Big Data y Analytics

• PROBLEMAS DE RENDIMIENTO
• SAP BW
• CARGAS ANALÍTICAS
• COMPETENCIA
• SAP con HANA
• ORACLE con EXADATA
• TERADATA
• MS-SQL
• PREMISA AHORRO DE COSTES

12 TBs of tweet data every day
IT Logs
? TBs ofdata every day
25 TBs oflog data every day
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DB2 with BLU vs Microsoft SQLServerQuery
Response Time (In Seconds, Less is Better)
7X-8X Better Performance with equal cores
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DB2 with BLU vs Microsoft SQLServerQuery
Response Time (In Seconds, Less is Better)
BestOffer Less Cores Licenses but Much more
Performance gt Better SLA
56 better performance, with 25 of the cores !
Wow, thats great !
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Estimated HW Infrastructure for Production Year
1 and Year 5assumption 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)
Huge savings through DB2 Technology Often DB2 BLU
needs 70-95 less HW
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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

• 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

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

? 4 x POWER servers (160 cores)
? 30 full racks (5760 cores)
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)
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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

• 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 HADR clusters
• up to 48 appliance servers for test/QA
• up to 48 appliance servers for dev
• up to 36 appliance servers for rest

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

? 101-232 x HANA servers (4040-9400 cores)
? 4 x POWER servers (160 cores)
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)
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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
IBM SAP Alliance
2014 IBM Corporation
46
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
Infrastructure That Matters
82X más rápido
vs. Competitor Row Store Database on Ivy Bridge
(x86)1
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
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POWER BLU Accelerationpero y . How do we
move forward?
48
Elegir una opciónde las dos configuraciones
Small Configuration
Large Configuration

• Existing Data Warehouse
• Supports up to 5 TB uncompressed active data (1
  TB compressed data)
• Hardware Configuration
• Power S814 8 cores, 3.72 GHz
• Memory 256 GB DRAM
• 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

• Existing Data Warehouse
• Supports up to 10 TB uncompressed active data (3
  TB compressed data)
• Hardware Configuration
• Power S824 24 cores, 3.52 GHz
• Memory 1 TB DRAM
• Storage
• 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
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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
• 5 pre-defined Power 8, DB2 BLU and Cognos BI
  configurations to support various workload sizes

• Announcement Highlights
• Announced June, 2014
• Leverages established Power POC processes
• Define the free trial period
• Try with your own data
• Owners for Additional Information

https//www.pass4sureexam.com/C4040-250.html
50

• GRACIAS