This document summarizes key aspects of the Denali parallel data warehouse appliance from Microsoft. It includes: 1) An overview of the software (SQL Server 2008 Enterprise) and hardware (server, storage, and networking specifications) components. 2) A diagram of the appliance architecture showing its database servers, control nodes, storage nodes, and connections. 3) Guidelines around table structures, indexes, compression, and SQL Server and Windows settings to optimize performance. 4) Details on how PowerPivot can be used to publish self-service analysis solutions to SharePoint and refresh data automatically.

3. Denali

7. Notes: Update as of 6/30/2010 inclusive. This chart counts NIST CVE – Reported Software Flaws., utilizing the NIST NVD. SQL Server Query = Vendor Name:
Microsoft Corporation; Product Names: sql_server, sql_server, sql_server_desktop_engine, sql_server_express_edition, sql_server_reporting services,
sql_srvsql_srv_desktop_engine; Oracle Query = Vendor Name: Oracle; Product Name: „Any‟, all CVEs where “Vulnerable software and versions” lists a database
product; DB2 Query = Vendor Name: IBM; Product Names: db2, db2_content_manager, db2_content_manager_toolkit, db2_server, db2_universal_database;
MySQL Query = Vendor Name: mysql, mysql-ocaml, mysql_auction, mysql_eventum, mysql_quick_admin, mysqldumper, mysqlnewsengine; Product Name: „Any‟

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11. Software:
• SQL Server 2008 Enterprise
• Windows Server 2008
Hardware:
• Tight specifications for servers,
storage and networking
• „Per core‟ building block
Configuration guidelines:
• Physical table structures
• Indexes
• Compression
• SQL Server settings
• Windows Server settings
• Loading

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13. Parallel Data Warehouse Appliance - Hardware
Architecture
Database Servers
DualInfiniband
Control Nodes
Active / Passive
Landing Zone
Backup Node
Storage Nodes
Spare Database Server
DualFiberChannel
SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
Management Servers
Client Drivers
ETL Load Interface
Corporate Backup
Solution
Data Center
Monitoring
Corporate Network Private Network
SQL
SQL

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20. 0
500
1000
1500
2000
2500
3000
3500
0
10
20
30
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60
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80
1VM 2VM 3VM 4VM 5VM 6VM 7VM 8VM
Batch req/sec %CPU Relative Throughput
% CPU
Throughput
(Batch requests/sec)
Relative Throughput for
Windows Server 2008
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24. PowerPivoting Massive Data Volumes
With a few mouse clicks, a user can create and publish intuitive and interactive self-service analysis solutions

25. With SharePoint:
• Publish your PowerPivots
as Web applications for
your team
• Schedule data refreshes
to keep your analysis
up-to-date
• Manage security just like
a document

27. Reusing Report Components
Reusing common report elements helps to accelerate report creation, cut down costs, and increase
end-user adoption. SharePoint provides the central location for sharing and editing reports and
automatically synchronizes published content objects.

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29. Centralized Visibility
Proactivelymonitoruser-generatedBI applicationswith PowerPivot dashboards

30. © 2009 Microsoft Corporation. All rights reserved. This presentation is for informational purposes only. Microsoft makes no warranties, express or implied, in this
summary.