Data Aware Enterprise v2
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Data Aware Enterprise v2

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Data Aware Enterprise v2

Data Aware Enterprise v2

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Data Aware Enterprise v2 Data Aware Enterprise v2 Presentation Transcript

  •  
  • The Data Aware E nterprise
    • Andrew Fryer
    • Microsoft UK
  • agenda
    • mainframe
    • Client server
    • N-tier
    • S&S
    • Cloud db
    History of Data Architecture
    • What does the enterprise need from a database?
    • Secure
    • Reliable
    • Fast & Scalable
    • Interoperable
    • Store any type of Data
    • Manageable
    • Business Intelligence
    Requirements
  • Security Integrity Confidentiality Reliability
    • Surface Area Reduction
    • Security updates
    • Kerberos/ NTLM
    • Password Policy Enforcement
    • End Point Authentication
    • Credentials always encrypted
    • Single sign-on
    • Native cryptographic capabilities
    • Transparent Data Encryption
    • Extensible Key Management
    • Principals and Securables
    • Roles
    • Catalog security
    • Execution Context
    • User Schema Separation
    • All Action Audit
    • Audit actions to
      • File,
      • Windows
      • Application Log
      • Security log
    • Capture and audit DDL activities
    Secure Configuration Granular Authorization Rich Authentication Auditing Data Encryption
  • Reliability Database Mirroring Logical Recovery Standby Log Shipping Log Shipping with Restore Delay Production Database Replication Clustering Warm Standby Hot Standby Database Scale Out For Queries Backup Multiple features work together to provide a coherent reliability scenario
  • Scalability
    • Hot add extra resources
    • Performance Tuning Management
    • Benchmarks
    Performance
    • Assign users process to groups and pools
    • Dynamic
    • Limits only apply when the server is under pressure
    Resource Management Min memory 10% Max memory 20% Max CPU 20% Admin group Batch Jobs Admin tasks OLTP group OLTP activity Report group Specific reports Executive reports Max CPU 90% Application pool Admin pool Database Server
  • Performance TPC-E Rank System tpsE Database Operating System Processors / Cores / Threads 1  NEC Express 5800 / 1320Xf (32SMP)  1,126.49  Microsoft SQL Server 2008 Enterprise Edition   Microsoft Windows Server 2008 Intanium based Systems   32 / 64 / 64  2  Unisys ES7000/one Enterprise Server (16s)  660.85  Microsoft SQL Server 2005 Enterprise Edition (x64)   Microsoft Windows Server 2003 Datacenter Edition   16 / 32 / 64  3  IBM System x3850 M2  479.51  Microsoft SQL Server 2008 Enterprise x64 Edition   Microsoft Windows Server 2008 Enterprise x64 Edition   4 / 16 / 16  4  IBM System x3850 M2   419.80  Microsoft SQL Server 2005 x64 Enterprise Edition SP2   Microsoft Windows Server 2003 Enterprise x64 Ent. R2   4 / 16 / 16  5  Dell PE2900  268.00  Microsoft SQL Server 2005 x64 Enterprise Edition SP2   Microsoft Windows Server 2003 Enterprise x64 Ent. R2   2 / 8 / 8 
    • Time & date data types
    • Full text search
    • Filestream
    • Spatial
    Store Any Type of Data
  • FileStream Advantages Challenges
    • Integrated management
    • Data-level consistency
    • Poor streaming API support
    • Performance deterioration as file size increases
    Store BLOBs in Database DB Application BLOBs
    • Cheap
    • Streaming Performance
    • Complex application development & deployment
    • Integration with structured data
    Use File Servers DB Application BLOBs
    • Cheap
    • Streaming Performance
    • Integrated management
    • Data-level consistency
    Need to support any File System Store BLOBs in DB + File System Application BLOB DB
  • Spatial Data
    • Standards – official and de facto,
    • Third Party Support
    • Hardware e.g. NUMA,
    Interoperability
    • Compression
    • Configuration Servers
    • Policy Management
    • Audit
    • Performance Data Collection
    • Resource Management
    Manageable
    • Integration
    • OLAP
    • Reporting
    • Office Integration
    Business Intelligence
  •  
    • Processes, policies and technologies to produce and maintain accurate master data for transactional and analytic applications across the enterprise
    What is Master Data Management? … One version of the truth
  • What Does MDM Do?
    • MDM Hub
    • Open interfaces
    • Incremental implementation
    • Distributed, and Federated
    • Hierarchy Management is a critical capability
    • Data Stewardship is a key success factor
    • Analytical and Operational MDM are just two uses for the same data
    Microsoft MDM Philosophy
    • SQL server 2008 is fit for purpose
    • ... But the enterprise also needs master data management
    Conclusion
    • SQL Server 2008 Site
      • http://www.microsoft.com/sqlserver/2008/en/us/default.aspx
    • Microsoft BI Site
      • http://www.microsoft.com/bi
    • Microsoft’s vision for Master Data Management:
      • http://www.microsoft.com/mdm
    • SQL Server Data Services
      • http://www.microsoft.com/sql/2008/default.mspx
    • Me
      • [email_address] and http://blogs.technet.com/andrew
    Further Information
  •