Data Aware Enterprise v2
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The document discusses the key capabilities that enterprises need from databases including security, reliability, scalability, ability to store different data types, and integration with business intelligence tools. It provides examples of how SQL Server 2008 addresses these needs through features like encryption, auditing, clustering, file streaming, spatial data support, and master data management. The conclusion states that while SQL Server 2008 is suitable, enterprises also require additional master data management capabilities.
![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](https://image.slidesharecdn.com/data-aware-enterprise-v22719/85/Data-Aware-Enterprise-v2-23-320.jpg)
Data Aware Enterprise v2
- 2. The Data Aware E nterprise Andrew Fryer Microsoft UK
- 3. agenda
- 4. mainframe Client server N-tier S&S Cloud db History of Data Architecture
- 5. What does the enterprise need from a database? Secure Reliable Fast & Scalable Interoperable Store any type of Data Manageable Business Intelligence Requirements
- 6. 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
- 7. 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
- 8. Scalability
- 9. Hot add extra resources Performance Tuning Management Benchmarks Performance
- 10. 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
- 11. 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
- 12. Time & date data types Full text search Filestream Spatial Store Any Type of Data
- 13. 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
- 14. Spatial Data
- 15. Standards – official and de facto, Third Party Support Hardware e.g. NUMA, Interoperability
- 16. Compression Configuration Servers Policy Management Audit Performance Data Collection Resource Management Manageable
- 17. Integration OLAP Reporting Office Integration Business Intelligence
- 19. 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
- 20. What Does MDM Do?
- 21. 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
- 22. SQL server 2008 is fit for purpose ... But the enterprise also needs master data management Conclusion
- 23. 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