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Technology for Utilities Transformation and new
Challenges: Integration, Big Data, Extreme
Performance.
Aitor Ibañez
Enterprise Architect for Utilities
Contents

                                             <Insert Picture Here>


•   Utilities Business Transformation
•   Need for Technology
•   Extreme Performance
•   No-limit Integration
•   Applications: Architectural Challenges




                                                               2
<Insert Picture Here>


Utilities Business
Transformation




                                       3
Data Growth defines new Challenges…


    DATA GROWTH IMPACT                                                                                IT CHALLENGES


    • Multiple Devices:                                                                          • Agility for Business
      Meters, Apps, SCAD                                                                           Processes on
      As,…                                                                                         Transactions between
                                                                                                   Devices and Applications
    • Info Processed by
      multiple                                                                                   • New Scalable
      Departments: Risk                                                                            Architecture supporting
      Mgmt., Billing, Dema                                                                         new Analysis and
      nd                                                                                           Transaction Growth
      Analysis, Network.                                                                           Reqs.
    • Growth of Corporate                                                                        • New Data Mgmt Reqs.
      DW for Reports and                                                                           for Storage, Master
      Trend Analysis.                                                                              Data, Synchronization &
                                                                                                   Sharing of Information



                             Fuente: Accenture “Challenges for Utilities” 2010, Oracle Insight




4                                                                                                                       4
Challenges that arise new Biz & IT Needs
                     Business Perspective                             IT Perspective
 External Pressure         Strategy                Levers                 Implications

                                             Managing efficiently         Scalable
                                            growing Data Volumes       Infrastructure




                                                                                               Managing Data Explosion
                                            Improving Customer       Business Processes




                                                                                               without cost increments
                                            Care & Go-to-market
                                                 Processes               Automation
                        Growing Sales
Growing Market                                                         Real-time Data
                                            Improving Availability     Access, Load
    Share                                                                balancing
Defense against
                                                 Improving
 Competency                                   Performance and
                                                                        On-demand
                                                 security of
                                                                     growing, Business
                        Cost Savings            Transactions             Continuity

                                            Reducing Operational
                                                                     Simplifying Storage
                                            Costs and improving
                                             Energy Efficiency          and Servers

                                             Faster processing to
                                                    improve
                                               Billing, Demand
                                                                        More Power
                                                 Analysis, …


        Utilities need New Technology to face up New Challenges

                                                                                                          5
                                                                                           5
… Needs translated into new Requirements

    • Scalable Infrastructure
       •   Horizontal growing
                                                                          Performance
    • Business Processes Automation
       •   Faster deployment of processes
       •   Process Governance
       •   Transactions
    • Real-time Data Access, Load Balancing                                 Protecting
       •   Fast response to data needs                                     Investment
       •   Grid computing
    • On-demand growing, Business continuity
       •   Right-sizing, growing infrastructure as the Business demands
       •   SLAs Compliance
                                                                           Scalability
    • Simplifying Storage and Servers
       •   Reducing HW Installed base: best platform for every purpose
       •   Energy Savings
    • More Power
       •   Unprecedented Processing Power
                                                                          Manageability
       •   Driving new Business opportunities




6                                                                                         6
<Insert Picture Here>


Need for Technology




                                        7
Smart Grid Challenges
               Managing the Exponential Growth of Data Volumes

        Much more data…               Much more processing…




                                                                                                     Break Point




                                                                                              Cost
                                                                                                       System


                                                                                                                     Cost
                                                                                                                   inviable

                                       Processing Power required for Interval based billing
Source: EPRI



                                                                                                                   Scalable
                          Scalability break points:                                                                System
                          storage, scalability cost
                                                                                                                     Meters


                                                                                                                          8
Integration beyond Boundaries
Responding to events and information from a
variety of sources




                                              9
So… Need for Technology!
• What do we need?

 Extreme Performance
                                Engineered
 Massive Data Volume
                                 Systems
 Unstructured Data Analysis

 No-Limit Integration         Data Integration

 Biz Processes Automation

 Services Architecture        BPM, SOA, EDA
 Events Processing


                                                 10
<Insert Picture Here>


Extreme Performance




                                       11
Exadata Database Machine
       • Scalable Grid of industry standard servers for Compute and Storage
       • Eliminates long-standing tradeoff between Scalability, Availability,
         Cost


               Database Grid                                  Intelligent Storage Grid
     • 8 Dual-processor x64                                  • 14 High-performance low-cost
     database servers                                          storage servers

     OR
     • 2 Eight-processor x64                                  • 100 TB High Speed disk, or
     database servers                                           336 TB High Capacity disk
                                                                   • 5.3 TB PCI Flash
                InfiniBand Network
                                                              • Data mirrored across storage
     • Redundant 40Gb/s switches
                                                                servers
     • Unified server & storage
       network


Copyright © 2010, Oracle Corporation and/or its affiliates                             – 12 –
                                                                                          12
Traditional Vs Smart Scan Processing

      Traditional Scan processing                                          Exadata Smart Scan processing
                                                                                   
                                                                                 SELECT
                                                                            customer_name
    SELECT                                                                    FROM calls               
customer_name                                  Rows Returned                                       Rows Returned
                                                                             WHERE amount >
  FROM calls                                                                      200;
WHERE amount >
     200;
                                                                                                          
                                              DB Host reduces                                      Consolidated
                                          terabyte of data to 1000            Smart Scan             Result Set
                                                                           Constructed And
                                            customer names that                                     Built From All
      Table                                                                  Sent To Cells               Cells
                                            are returned to client
     Extents
    Identified
                                                                                    
                                                                                Smart Scan
                                                                                                          
                                                                         identifies rows and
                                                                                                     2MB of data
   I/Os Issued                                 I/Os Executed:                columns within
                                                                                                  returned to server
                                             1 terabyte of data             terabyte table that
                                             returned to hosts                match request



© 2008 Oracle Corporation – Proprietary and Confidential          – 13 –                                               13
Exadata Storage Software Unique Features


       • Exadata Smart Scans                                 • Exadata Smart Flash Cache
                                                               • Breaks random I/O bottleneck by
              • 10X or greater reduction in data sent
                                                                 increasing IOPs by up to 20X
                to database servers
                                                               • Doubles user data scan bandwidths

       • Exadata Storage Indexes
              • Eliminate unnecessary I/Os                   • I/O Resource Manager (IORM)
                                                               • Enables storage grid by prioritizing
                                                                 I/Os to ensure predictable
       • Hybrid Columnar Compression                             performance
              • Efficient compression increases
                effective storage capacity and               • Quality of Service (QoS)
                increases user data scan bandwidths
                by a factor of up to 10X                       • Actively meet and maintain SLAs
                                                               • Memory Guard to protect existing
                                                                 current transactions from memory-
                                                                 based failures




Copyright © 2010, Oracle Corporation and/or its affiliates                                           – 14 –
                                                                                                        14
Proof of Concepts Results
   Referencia          “As IS” Exadata     Optimizacion

 1500


 1000


  500


    0
            "01"          "07"         "OF "          Queries
        47 veces más    68 veces más   60 veces más     2 veces más
            rápido          rápido         rápido          rápido




                                                                      15
Oracle Exalogic Elastic Cloud
                       Application Grid, Integrated Compute, I/O, Networking and Storage


                                                                                                                         Integrated Storage
                       WebLogic                                                                                          • Central storage for
                                                     Coherence
                        Server                                                                                             system images
                                                                                                                         • Clustered for HA
                                                                                                                         • 40 TB SAS disk
Enterprise Manager




                            JRockit and HotSpot                                 Tuxedo                                   • 4 TB read cache
                                                                                                                         • 72 GB write cache
                          Exalogic Elastic Cloud
                                Software
                                                                                                                             I/O Fabric
                                Oracle Linux and/or Solaris                                                              • 40 Gb/sec links
                                                                                                                         • 10 Gigabit Ethernet
                                                                                                                           connectivity to
                           Exalogic Elastic Cloud Hardware                                                  EL X2-2        datacenter
                                                                                                              X2-2
                                                                                                           EL X2-2


                                                                                         •   30 x86 compute nodes
                                                                                         •   360 Xeon cores (2.93 GHz)
                                                                                         •   2.8 TB DRAM
                                                                                         •   960 GB SSD




           Copyright © 2011 Oracle Corporation - Proprietary and Confidential                                                               16
Oracle Exalogic and Exadata Together
             Designed for Seamless Interoperability, Unmatched Performance

                                                                     960 Gigabits/second
                                                                      (Maximum: 24x InfiniBand QDR)


                                                               • Exclusive: direct InfiniBand integration!
                                                              • Extreme performance, reliability, security
                                                                      • Simple to deploy and manage
Exalogic                                                                                                     Exadata
                                                                                    Up to


                                                                                 3X
                                                                            OLTP Performance


                                                             Active GridLink for RAC

                                                                      • Resource-aware load balancing
                                                                     • Instantaneous connection failover
                                                                     • Transaction affinity to RAC nodes
                                                                 • SQLnet optimized for InfiniBand SDP




Copyright © 2011 Oracle Corporation - Proprietary and Confidential                                                17
Technologies in Support
ExaMDM Concept: Technical Architecture




                     10 M Meters Benchmark
                        • ½ Exadata + ½ Exalogic + Oracle MDM + CC&B
                        • 500.000 bills  1 hour
                        • Daily meter reads upload  2,6 hours
                        • VEE processing  4 hours
                        • Usage Aggregations  30 min.
                        • Daily Total: 8 hours.
                     • Scale: ½  Full ExaMDM = 4 hours




                                                                  18
Oracle Exalytics – Under the Hood



                                                                      TimesTen for Exalytics




                                                                                                             1 TB RAM
                                                                              Essbase                   40 Processing Cores     InfiniBand
                                                                                                       High Speed Networking




                                                                        Adaptive In-Memory
                                                                               Tools
                                                                         In-Memory                          In-Memory
   Oracle Business Intelligence Foundation Suite                      Analytics Software                Analytics Hardware



                                        Speed-of-thought enterprise                                                            Extreme performance
                                       Business Intelligence platform                                                               via Exadata



For information purposes only, not a commitment to the development, release, and timing of any features or functionality.                      19
Oracle Exalytics
Extreme Performance for Enterprise Analytics

• Speed-of-Thought Analysis at Enterprise Scale
   • 20x better response times
   • Sub-second performance enables speed-of-thought analytics
   • Grow to 50,000 enterprise users on one appliance

• What-if Analysis and Forecasting
   •   16x better response times
   •   More accurate – use more detail, include more scope, evaluate wider operations
   •   More scale – more users and higher volumes at busy periods
   •   Greater agility – do daily instead of monthly

• Enterprise Planning
   • Reduce planning cycle times with 5x better response time and 6x better throughput
   • Run more planning models with finer grained operational detail to improve accuracy
   • Extend beyond Finance to every LOB, with 10,000 Planning users on one appliance




                                                                                          20
Big Data for Smart Grid
 Analysis from unstructured data

• Unstructured data coming from
  •   Smart Meters & Devices, Domotic,…
  •   Info coming from Network & Generation SCADAs
  •   Substations, other equipments,…
  •   Meteo Data.
• BigData Appliance
  • 18 nodes, 216 CPU cores.
  • 864 GB RAM, 648 TB storage
  • 40 Gb/s Infiniband
• Extreme Performance for Unstructured Data
  processing.


                                                     21
Big Data for Smart Grid
 Think about the Future…

• Driving Immediate Analysis with unprecedented
  processing power
  • Social Networks: mentions [ourCompany]
     • Sentimental Analysis, Complaints
  • Social Networks: mentions #Meter, [ourCompany], #power 
    Trending Topics.
  • Targeted programs for each consumer
     • Understanding Customer: CRM, Meter load, Internet
       logs, Twitter,…
  • Power Demand Planning: processing trends and actual consumption
    by geography/concentrator.
  • Prediction of Network failures or bottlenecks.
     • Geographical & Meteo Data

                                                               22
Divided Solution Spectrum
    Data
   Variety


Unstructured
               Distributed                                   NoSQL
               File Systems                                   Flexible
                                    MapReduce               Specialized
                                     Solutions              Developer
               Transaction
                (Key-Value)                                   Centric
                  Stores




                                                               SQL
                DBMS          ETL         DBMS Advanced       Trusted
                                           (DW) Analytics     Secure
  Schema        (OLTP)                                      Administered



 Information
   Density
               Acquire         Organize           Analyze


                                                                     23
Oracle’s Big Data Solution
    Data
   Variety

                Big Data Appliance
Unstructured     HDFS• Hadoop        Hadoop
                  • NoSQL Database                     In-DB
               • Oracle Loader for hadoop Loader
                                                      Analytics
                                    Oracle
                • Oracle Data Integrator Hadoop
                Oracle                for               “R” Exalytics
               NoSQL DB                                Mining • Speed of
                                                        Text    Thought
                                    Oracle             Graph Analytics
                                Data Integrator        Spatial
                                  Oracle Exadata
                                     • OLTP & DW  Oracle
                Oracle                          Database
               Database       • Data Mining & Oracle R
                                                   (DW)      Oracle
                (OLTP)                                       BI EE
  Schema                              • Semantics
                                       • Spatial

 Information
   Density
               Acquire                Organize             Analyze


                                                                           24
Smart Metering Architecture Decisions
Big Data
                                       Business Intelligence


           SOA Framework
           Middleware
           & Bus. Orchestration




                            Services
                                AMI
                                                               Self Service /
                                                                    portal

                                                               Work & Asset

                                                                  Mobile
  meter    Head-End        NRT          MDM

                                                                    CIS
                                       TBs
                                                               Distribution
                                                               management
                                                                Outage
                                                               Management



                                                                                25
<Insert Picture Here>


No-Limit Integration




                                        26
Oracle GoldenGate
    The Solution for Enterprise-wide Real Time Data Needs




   Database and                                                       Mission Critical
applications, Mixed                                                   Applications &
sources, distributed                 Real-time                        Data, Business
 systems, legacy,                   information                    Intelligence, Reporti
   OLTP, OLAP                                                              ng for
                                                                   Customers, Partner
                                                                      s & Employees


                                 Real-time Access



    Oracle GoldenGate delivers real-time access of real-time information, enabling
    companies to dramatically improve the availability, reliability, and performance
                    of critical data across enterprise systems.



                                                                                           27
Oracle Data Integrator


                                                          Data Integrator

•
                                                           Data Integration Solution
  E-LT Transformation   Realtime Data                 Business            Enterprise                        SOA | BAM |
                            Hubs                     Intelligence         Warehouse                            CEP

• Declarative Design
• No-intrusive
• Change Data Capture




                                                                                          Batch Data Flow
                                                          Oracle Data Integrator




                                        Real Time Data
• Architecture hot-




                                             Flow
                                                                     Services


  changes                                                 E-LT
                                                                      Events




• Multi-DB support:                                                 CDC


  Knowledge modules                     Logs
                                                                 Transactional
                                                                                  Logs Logs
                                 CDC                                                                        CDC
                                                                    RDBMS




                                                                                                                          28
Supply Real Time Business Intelligence
Non-invasive Capture + E-LT Processing
Application           Real Time BI                               Analytic BI
                   (using Data Copy)                           (Facts & Dims)
                                           Consistency
                                             Window




                                                E-LT
                                       (Mini-Batch + Transforms)




                                                                                29
<Insert Picture Here>


Applications:
Architectural Challenges




                                            30
Technologies in Support
     Oracle Integration Platform for Utilities
                                                           AIA Foundation Pack for Utilities
Objective:                                                        Reference Process Model
Provide a comprehensive, consistent, and flexible
integration approach across the Utilities Suite


Approach:                                           Industry        Common Object Model & Services
 • Built on Oracle’s Fusion Middleware              Standard
                                                        s
 • Leveraging AIA Methodology
 • Expand AIA Foundation Pack for Utilities:
   –Common Objects and Enterprise Services
   –Compliant with utility industry standards
   –Deliver best-practice process models for key
    processes across utility segments
    (water, gas, electric, waste)
                                                      Oracle Utilities Integrated Solution Suite
                                                       -

                                                    WAM          MWM          ML / AMI       CC&B            CRM

Benefits:
 • Provide a common integration approach across           SOA Suite, AIA (ESB + FP for CIM and MultiSpeak)

   all Oracle applications.
 • Accelerate deployments and provide flexibility   NMS          SCADA           QM           MDM
                                                                                                         GIS / Spatial
                                                                                                             Model
   for project-specific extensions.


                                                                                                                         31
Oracle Utilities Integration Strategy
        Oracle AIA Integrations Benefits




      $      Value

                                                                             Open Ecosystem

 Pre-built integrations                                                       AIA Centers of
 using leading Oracle                                                            Excellence
  Fusion middleware             Extensibility          Methodology
                                                                               AIA Partner Co-
      Lower TCO            Loose coupling of apps                             development
                                                         Industry best
 Supported products             through SOA
                                                            practices         UGBU Partners to
   Designed for next             Focus on               Prescriptive       certify with SAP +
    generation apps           configurations not                               other 3rd Parties
                                   rebuilds               methodology
     compatibility
                            Successfully deployed     Industry standards
      Reusability                                      adoption such as
                               in complex, high-
                             volume environments         CIM for Utilities
                                                       Proven by Oracle

                                                                                                 32
Business Process Management
     Processes Life Cycle
                          Business Analyst


                                          Process Developer




 Process Modeling, simulating and
         Documentation                                                   Process Development
                                    Process                             and Systems Integration
                               Execution and
                                Management

Business
  Owner



                                                                       Users Interaction    Business
                                                                                           Participants
                                                         Corporate
                                                        Applications
     Dashboards, tools and historical                  And Databases
                trends


                                                                                                   33
Oracle Technologies in support
  Event-Driven Architecture
  Event Sources                                                         Response Services

                             event
                                        Complex Event
               Streams                    Processor
Coherence            event
Real Time                            • Event sourcing
Listeners
                                     • Continuous query language to
                             event     define event
                                                                          BAM Dashboards
                                          • Correlation
            Applications
                                          • Sequencing
                   event
                                          • Window of time evaluation
Databases                            • Pattern matching
                             event
                                     • Event publishing                      BAM Alerts
                                     • Real time Java infrastructure
        BPM Processes



                                                                         BPM/BPEL Processes
             JMS
                                              closed loop
  Messaging



                                                                                              34
Business Impact of Events, Oracle BAM
    Meaningful, Event-driven Intelligence for End-Users

   Monitor business processes & services in real-time
       Key Performance Indicators (KPIs)
       Service-Level Agreements (SLAs)
   Analyze events as they occur
       Correlate events & KPIs
       Identify trends as they emerge
       Alert users to bottlenecks & solutions
   Act on current conditions
       Event-driven alerts
       Real-time dashboards
       BPEL processes & web services integration




                                                          35
Questions?




             36

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Technology in support of utilities challenges

  • 1. <Insert Picture Here> Technology for Utilities Transformation and new Challenges: Integration, Big Data, Extreme Performance. Aitor Ibañez Enterprise Architect for Utilities
  • 2. Contents <Insert Picture Here> • Utilities Business Transformation • Need for Technology • Extreme Performance • No-limit Integration • Applications: Architectural Challenges 2
  • 3. <Insert Picture Here> Utilities Business Transformation 3
  • 4. Data Growth defines new Challenges… DATA GROWTH IMPACT IT CHALLENGES • Multiple Devices: • Agility for Business Meters, Apps, SCAD Processes on As,… Transactions between Devices and Applications • Info Processed by multiple • New Scalable Departments: Risk Architecture supporting Mgmt., Billing, Dema new Analysis and nd Transaction Growth Analysis, Network. Reqs. • Growth of Corporate • New Data Mgmt Reqs. DW for Reports and for Storage, Master Trend Analysis. Data, Synchronization & Sharing of Information Fuente: Accenture “Challenges for Utilities” 2010, Oracle Insight 4 4
  • 5. Challenges that arise new Biz & IT Needs Business Perspective IT Perspective External Pressure Strategy Levers Implications Managing efficiently Scalable growing Data Volumes Infrastructure Managing Data Explosion Improving Customer Business Processes without cost increments Care & Go-to-market Processes Automation Growing Sales Growing Market Real-time Data Improving Availability Access, Load Share balancing Defense against Improving Competency Performance and On-demand security of growing, Business Cost Savings Transactions Continuity Reducing Operational Simplifying Storage Costs and improving Energy Efficiency and Servers Faster processing to improve Billing, Demand More Power Analysis, … Utilities need New Technology to face up New Challenges 5 5
  • 6. … Needs translated into new Requirements • Scalable Infrastructure • Horizontal growing Performance • Business Processes Automation • Faster deployment of processes • Process Governance • Transactions • Real-time Data Access, Load Balancing Protecting • Fast response to data needs Investment • Grid computing • On-demand growing, Business continuity • Right-sizing, growing infrastructure as the Business demands • SLAs Compliance Scalability • Simplifying Storage and Servers • Reducing HW Installed base: best platform for every purpose • Energy Savings • More Power • Unprecedented Processing Power Manageability • Driving new Business opportunities 6 6
  • 7. <Insert Picture Here> Need for Technology 7
  • 8. Smart Grid Challenges Managing the Exponential Growth of Data Volumes Much more data… Much more processing… Break Point Cost System Cost inviable Processing Power required for Interval based billing Source: EPRI Scalable Scalability break points: System storage, scalability cost Meters 8
  • 9. Integration beyond Boundaries Responding to events and information from a variety of sources 9
  • 10. So… Need for Technology! • What do we need? Extreme Performance Engineered Massive Data Volume Systems Unstructured Data Analysis No-Limit Integration Data Integration Biz Processes Automation Services Architecture BPM, SOA, EDA Events Processing 10
  • 12. Exadata Database Machine • Scalable Grid of industry standard servers for Compute and Storage • Eliminates long-standing tradeoff between Scalability, Availability, Cost Database Grid Intelligent Storage Grid • 8 Dual-processor x64 • 14 High-performance low-cost database servers storage servers OR • 2 Eight-processor x64 • 100 TB High Speed disk, or database servers 336 TB High Capacity disk • 5.3 TB PCI Flash InfiniBand Network • Data mirrored across storage • Redundant 40Gb/s switches servers • Unified server & storage network Copyright © 2010, Oracle Corporation and/or its affiliates – 12 – 12
  • 13. Traditional Vs Smart Scan Processing Traditional Scan processing Exadata Smart Scan processing  SELECT  customer_name SELECT  FROM calls  customer_name Rows Returned Rows Returned WHERE amount > FROM calls 200; WHERE amount > 200;   DB Host reduces  Consolidated terabyte of data to 1000 Smart Scan Result Set  Constructed And customer names that Built From All Table Sent To Cells Cells are returned to client Extents Identified  Smart Scan    identifies rows and 2MB of data I/Os Issued I/Os Executed: columns within returned to server 1 terabyte of data terabyte table that returned to hosts match request © 2008 Oracle Corporation – Proprietary and Confidential – 13 – 13
  • 14. Exadata Storage Software Unique Features • Exadata Smart Scans • Exadata Smart Flash Cache • Breaks random I/O bottleneck by • 10X or greater reduction in data sent increasing IOPs by up to 20X to database servers • Doubles user data scan bandwidths • Exadata Storage Indexes • Eliminate unnecessary I/Os • I/O Resource Manager (IORM) • Enables storage grid by prioritizing I/Os to ensure predictable • Hybrid Columnar Compression performance • Efficient compression increases effective storage capacity and • Quality of Service (QoS) increases user data scan bandwidths by a factor of up to 10X • Actively meet and maintain SLAs • Memory Guard to protect existing current transactions from memory- based failures Copyright © 2010, Oracle Corporation and/or its affiliates – 14 – 14
  • 15. Proof of Concepts Results Referencia “As IS” Exadata Optimizacion 1500 1000 500 0 "01" "07" "OF " Queries 47 veces más 68 veces más 60 veces más 2 veces más rápido rápido rápido rápido 15
  • 16. Oracle Exalogic Elastic Cloud Application Grid, Integrated Compute, I/O, Networking and Storage Integrated Storage WebLogic • Central storage for Coherence Server system images • Clustered for HA • 40 TB SAS disk Enterprise Manager JRockit and HotSpot Tuxedo • 4 TB read cache • 72 GB write cache Exalogic Elastic Cloud Software I/O Fabric Oracle Linux and/or Solaris • 40 Gb/sec links • 10 Gigabit Ethernet connectivity to Exalogic Elastic Cloud Hardware EL X2-2 datacenter X2-2 EL X2-2 • 30 x86 compute nodes • 360 Xeon cores (2.93 GHz) • 2.8 TB DRAM • 960 GB SSD Copyright © 2011 Oracle Corporation - Proprietary and Confidential 16
  • 17. Oracle Exalogic and Exadata Together Designed for Seamless Interoperability, Unmatched Performance 960 Gigabits/second (Maximum: 24x InfiniBand QDR) • Exclusive: direct InfiniBand integration! • Extreme performance, reliability, security • Simple to deploy and manage Exalogic Exadata Up to 3X OLTP Performance Active GridLink for RAC • Resource-aware load balancing • Instantaneous connection failover • Transaction affinity to RAC nodes • SQLnet optimized for InfiniBand SDP Copyright © 2011 Oracle Corporation - Proprietary and Confidential 17
  • 18. Technologies in Support ExaMDM Concept: Technical Architecture 10 M Meters Benchmark • ½ Exadata + ½ Exalogic + Oracle MDM + CC&B • 500.000 bills  1 hour • Daily meter reads upload  2,6 hours • VEE processing  4 hours • Usage Aggregations  30 min. • Daily Total: 8 hours. • Scale: ½  Full ExaMDM = 4 hours 18
  • 19. Oracle Exalytics – Under the Hood TimesTen for Exalytics 1 TB RAM Essbase 40 Processing Cores InfiniBand High Speed Networking Adaptive In-Memory Tools In-Memory In-Memory Oracle Business Intelligence Foundation Suite Analytics Software Analytics Hardware Speed-of-thought enterprise Extreme performance Business Intelligence platform via Exadata For information purposes only, not a commitment to the development, release, and timing of any features or functionality. 19
  • 20. Oracle Exalytics Extreme Performance for Enterprise Analytics • Speed-of-Thought Analysis at Enterprise Scale • 20x better response times • Sub-second performance enables speed-of-thought analytics • Grow to 50,000 enterprise users on one appliance • What-if Analysis and Forecasting • 16x better response times • More accurate – use more detail, include more scope, evaluate wider operations • More scale – more users and higher volumes at busy periods • Greater agility – do daily instead of monthly • Enterprise Planning • Reduce planning cycle times with 5x better response time and 6x better throughput • Run more planning models with finer grained operational detail to improve accuracy • Extend beyond Finance to every LOB, with 10,000 Planning users on one appliance 20
  • 21. Big Data for Smart Grid Analysis from unstructured data • Unstructured data coming from • Smart Meters & Devices, Domotic,… • Info coming from Network & Generation SCADAs • Substations, other equipments,… • Meteo Data. • BigData Appliance • 18 nodes, 216 CPU cores. • 864 GB RAM, 648 TB storage • 40 Gb/s Infiniband • Extreme Performance for Unstructured Data processing. 21
  • 22. Big Data for Smart Grid Think about the Future… • Driving Immediate Analysis with unprecedented processing power • Social Networks: mentions [ourCompany] • Sentimental Analysis, Complaints • Social Networks: mentions #Meter, [ourCompany], #power  Trending Topics. • Targeted programs for each consumer • Understanding Customer: CRM, Meter load, Internet logs, Twitter,… • Power Demand Planning: processing trends and actual consumption by geography/concentrator. • Prediction of Network failures or bottlenecks. • Geographical & Meteo Data 22
  • 23. Divided Solution Spectrum Data Variety Unstructured Distributed NoSQL File Systems Flexible MapReduce Specialized Solutions Developer Transaction (Key-Value) Centric Stores SQL DBMS ETL DBMS Advanced Trusted (DW) Analytics Secure Schema (OLTP) Administered Information Density Acquire Organize Analyze 23
  • 24. Oracle’s Big Data Solution Data Variety Big Data Appliance Unstructured HDFS• Hadoop Hadoop • NoSQL Database In-DB • Oracle Loader for hadoop Loader Analytics Oracle • Oracle Data Integrator Hadoop Oracle for “R” Exalytics NoSQL DB Mining • Speed of Text Thought Oracle Graph Analytics Data Integrator Spatial Oracle Exadata • OLTP & DW Oracle Oracle Database Database • Data Mining & Oracle R (DW) Oracle (OLTP) BI EE Schema • Semantics • Spatial Information Density Acquire Organize Analyze 24
  • 25. Smart Metering Architecture Decisions Big Data Business Intelligence SOA Framework Middleware & Bus. Orchestration Services AMI Self Service / portal Work & Asset Mobile meter Head-End NRT MDM CIS TBs Distribution management Outage Management 25
  • 27. Oracle GoldenGate The Solution for Enterprise-wide Real Time Data Needs Database and Mission Critical applications, Mixed Applications & sources, distributed Real-time Data, Business systems, legacy, information Intelligence, Reporti OLTP, OLAP ng for Customers, Partner s & Employees Real-time Access Oracle GoldenGate delivers real-time access of real-time information, enabling companies to dramatically improve the availability, reliability, and performance of critical data across enterprise systems. 27
  • 28. Oracle Data Integrator Data Integrator • Data Integration Solution E-LT Transformation Realtime Data Business Enterprise SOA | BAM | Hubs Intelligence Warehouse CEP • Declarative Design • No-intrusive • Change Data Capture Batch Data Flow Oracle Data Integrator Real Time Data • Architecture hot- Flow Services changes E-LT Events • Multi-DB support: CDC Knowledge modules Logs Transactional Logs Logs CDC CDC RDBMS 28
  • 29. Supply Real Time Business Intelligence Non-invasive Capture + E-LT Processing Application Real Time BI Analytic BI (using Data Copy) (Facts & Dims) Consistency Window E-LT (Mini-Batch + Transforms) 29
  • 31. Technologies in Support Oracle Integration Platform for Utilities AIA Foundation Pack for Utilities Objective: Reference Process Model Provide a comprehensive, consistent, and flexible integration approach across the Utilities Suite Approach: Industry Common Object Model & Services • Built on Oracle’s Fusion Middleware Standard s • Leveraging AIA Methodology • Expand AIA Foundation Pack for Utilities: –Common Objects and Enterprise Services –Compliant with utility industry standards –Deliver best-practice process models for key processes across utility segments (water, gas, electric, waste) Oracle Utilities Integrated Solution Suite - WAM MWM ML / AMI CC&B CRM Benefits: • Provide a common integration approach across SOA Suite, AIA (ESB + FP for CIM and MultiSpeak) all Oracle applications. • Accelerate deployments and provide flexibility NMS SCADA QM MDM GIS / Spatial Model for project-specific extensions. 31
  • 32. Oracle Utilities Integration Strategy Oracle AIA Integrations Benefits $ Value Open Ecosystem  Pre-built integrations  AIA Centers of using leading Oracle Excellence Fusion middleware Extensibility Methodology  AIA Partner Co-  Lower TCO  Loose coupling of apps development  Industry best  Supported products through SOA practices  UGBU Partners to  Designed for next  Focus on  Prescriptive certify with SAP + generation apps configurations not other 3rd Parties rebuilds methodology compatibility  Successfully deployed  Industry standards  Reusability adoption such as in complex, high- volume environments CIM for Utilities  Proven by Oracle 32
  • 33. Business Process Management Processes Life Cycle Business Analyst Process Developer Process Modeling, simulating and Documentation Process Development Process and Systems Integration Execution and Management Business Owner Users Interaction Business Participants Corporate Applications Dashboards, tools and historical And Databases trends 33
  • 34. Oracle Technologies in support Event-Driven Architecture Event Sources Response Services event Complex Event Streams Processor Coherence event Real Time • Event sourcing Listeners • Continuous query language to event define event BAM Dashboards • Correlation Applications • Sequencing event • Window of time evaluation Databases • Pattern matching event • Event publishing BAM Alerts • Real time Java infrastructure BPM Processes BPM/BPEL Processes JMS closed loop Messaging 34
  • 35. Business Impact of Events, Oracle BAM Meaningful, Event-driven Intelligence for End-Users  Monitor business processes & services in real-time  Key Performance Indicators (KPIs)  Service-Level Agreements (SLAs)  Analyze events as they occur  Correlate events & KPIs  Identify trends as they emerge  Alert users to bottlenecks & solutions  Act on current conditions  Event-driven alerts  Real-time dashboards  BPEL processes & web services integration 35

Hinweis der Redaktion

  1. 16/09 – replaced ‘clients’ by ‘customers’ everywhere (telcos jargon)
  2. Integrationisbroad and functionallycomplex(much more thanthishighlevelviewwhichalready shows somelevel of complexity)Questions to Iberdrola:Is your system integrated? With WMS? With AM? With CIS? How?How do you set up the data in the HES and MDM?How do you commission meterstoday?
  3. BI adaptadoparatrabajar en memoria.In-memory Cache: decide quédatoscachearTimesten – DB generalEssbase – analítica multidimensional, predicciones, en memoria.Interfaces de conexiónnInfiniband: HA con otrosExalytics o paraExadata
  4. Exalytics &amp; Exadata: plataforma de BI más rápida del mundo.
  5. Hadoop: was inspired by Google&apos;s MapReduce and Google File System (GFS) papers.Apache Cassandra: was developed at Facebook to power their Inbox Search feature (it is a columnar nosql DB)Cloudera: . It contributes to Hadoop and related Apache projects and provides a distribution for Hadoop for the enterpriseHive: DW on top of HadoopHbase: Nosql (columnar) – based on Googles BigtableVoldemort is a distributed data store that is designed as a key-value store used by LinkedIn for high-scalability storage (NoSql key value)
  6. Business intelligence will be also extremely challenged: more info then ever, more complexity than before, and more operationality than before (less for off line BI, more participating to operational processes).BI is key to provide cohesive view of the world : assets, crews, outages, and take the right decisionsAll components will need to support this.
  7. Qué pasa con los datos? va a existir muchísima necesidad de Integración de Datos, Distribución Vs Comercial, movimiento de ficheros, contingencia,…GG: Réplica casi en tiempo real, no intrusiva, heterogénea.
  8. CEP for me focusing on criticalevent drivent near real time smart grids scenarios-Night Expend &gt; 10 KW-average # of Elect. Power expended in the last 24 hours-Outage A, B and C occurred within 30 minute window