The right version of SQL Server for all businesses that need to:
o Achieve higher levels for high availability, scalability and security;
o Maximize business insight from organizational data;
o Dramatically reduce data management operational costs.
Enterprise-Class
Capabilities
• Higher availability and scalability
• Increase administrator productivity
• Enhanced security and performance
Multiple Instance Clustering,
Application and Multi-server
Management, Resource
Governor, Transparent Data
Encryption
Organizational
Business Intelligence
• Grow to support enterprise scale
• Provide faster results with high data
quality
• Integrate information across your
business
Scale-out Reporting & Analysis
Servers, Partitioned Cubes,
PowerPivot for SharePoint 2010,
High-Speed Connectors, Master
Data Services
Cost Reduction
• Up to 50% reduction in storage costs
• Virtualization advantages
• Greater savings from consolidation
Multiple Instance Clustering,
Application and Multi-server
Management, Resource
Governor, Transparent Data
Encryption
Cost Savings
Reduce costs and drive
efficiencies that
maximize return on IT
investment
High Availability
Ensure the highest level
of business continuity by
reducing unplanned and
planned downtime
Scalability and
Performance
Deliver an infrastructure
that can grow with
customer’s business
Business Intelligence
Deliver business insight by
transforming data into
actionable knowledge
Security
Provide a secure
environment to protect
sensitive data
Manageability
Manage and maintain
customer infrastructure
with increased
productivity, visibility,
and automation
High
Availability
Scalability and
Performance
Security
Manageability
Business
Intelligence
Cost Savings
Multiple instance
database
clustering
Up to eight
processors
Common
Criteria
Certification
Application and
multi-server
management
Partitioned cubes
Virtualization
licensing benefits
Automatic page
repair with
database mirroring
Multiple
instances
SQL Server
audit
Table
partitioning
Star join query
optimizations
Application and
multi-server
management
Database
snapshots
Virtualization
licensing benefits
Transparent
data encryption
Resource
governor
Master Data
Services
Data compression,
including UCS-2
Online
operations
Data
compression,
including UCS-2
Extensible
encryption key
management
Mirrored
backups
Change data
capture
Multiple instance
database clustering
Live migration
Partitioned table
parallelism
Fast Track for
Data Warehouse
Hot-add CPU
and RAM
StreamInsight
(serial processing)
Scalable shared
databases
Peer-to-peer
replication
PowerPivot for
SharePoint 2010
Data driven report
subscriptions
ENTERPRISE EDITION has more than 60 features not in Standard edition
High
Availability
o Businesses need to work around the clock to meet customer demands
o When systems are not running, businesses are losing revenue,
opportunities, customers and reputation
o High availability reduces the impact of required maintenance on
day-to-day operations and helps recover quickly from disasters
o Businesses need flexibility to easily build high availability solutions that
meet business and technology needs
Online operations
Multiple instance clustering
Prevent Unplanned
Downtime
Automatic page repair with
database mirroring
Reduce Planned
Downtime
Live Migration
Hot-add CPU and RAM
Database snapshots
Peer-to-peer replication
High
Availability
Multiple-Instance Database
Clustering
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Active
Failover
Offline
Active
o
More than one passive node is
available to host instances from
multiple failovers on active nodes
o
Having multiple failover nodes
provides greater availability
o
Multiple instances can share the
same failover node, which reduces
hardware costs
o
Simplified setup reduces
administrative costs
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Active
Because of the critical nature of the G4S application, CASON sets up the
servers in a failover cluster to ensure high availability.
—CASON Case Study
High
Availability
High Performance Mirroring
o
Increase performance through
asynchronous mirroring
Automatic Page Repair
o
o
o
Automatically detects page corruption
and retrieves data from the mirror
Reduces downtime and
management costs
Minimizes application changes to
correctly handle I/O errors
Reporting from Mirror
Principal
Mirror
o
o
Increase utilization of mirror server
Reduce need for reporting servers
“This is a really powerful enhancement because prior to this… you would have
to run DBCC CHECKDB... and that would likely mean taking downtime… With
SQL Server 2008 Database Mirroring you can avoid the effort and downtime.”
— Glenn Berry, Database Architect, NewsGator Technologies
High
Availability
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Snapshot
Database Snapshots
o
Provide a read-only static view of
the database at a point in time
o
Revert to a point in time before user
error
o
Data loss is limited to changes after
the snapshot
Source
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o
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Run reports from a snapshot created
on the mirror server in a mirror to
better utilize resources
“Database snapshots allow you to create read-only databases for reporting
and can also be useful in your data recovery efforts in the event of a disaster.”
—Tim Chapman, SQL Server Database Administrator
High
Availability
Online Operations
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Table
Index
0
5
Deleted
Deleted
1
Deleted
4
2
Deleted
233
4
7
4
5
05
6
3
7
o
o
Allow routine maintenance without
corresponding downtime
o
Online index operations
o
Online page and file restoration
o
Online configuration of peer-to-peer
nodes
Users and applications can access
data while the table, key, or index is
being updated
We recommend performing online index operations for business
environments that operate 24 hours a day, seven days a week, in which the
need for concurrent user activity during index operations is vital.
— SQL Server Books Online
High
Availability
Live Migration
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o
Move running instances of VMs
between host servers
o
Virtual machines can be moved for
maintenance or to balance workload
on host servers
o
Perform maintenance on physical
machines without any downtime
o
Requires Windows Server 2008 R2
Hyper-v
“This server already runs on our cluster solution with high availability, but after
we have tested live migration on the new hardware, we’ll move it over to
ensure optimal performance and reliability”
—Rodrigo Immaginario, IT Manager, Universidade Vila Velha
High
Availability
Hot-Add CPU and RAM
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o
Dynamically add memory and
processors to servers without
incurring downtime
o
Requires hardware support for either
physical or virtual hardware
Hot-add CPU is the ability to dynamically add CPUs to a running system.
Adding CPUs can occur physically by adding new hardware, logically by online
hardware partitioning, or virtually through a virtualization layer.
—SQL Server Books Online
High
Availability
Peer-to-Peer Replication
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o
Increases reliability by replicating
data to multiple servers
o
Provides higher availability in case
of failure or to allow maintenance
at any of the participating nodes
o
Offers improved performance for
each node with geo-scale
architecture
o
Add and remove servers easily
without taking replication offline,
by using the new topology wizard
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“[Microsoft] SQL Server 2008 replication proved to be very predictable and
reliable in our testing. This helps us to create flexible and scalable replication
solutions. Reliability must be at the foundation of all that we do.”
— Sergey Elchinsky, Leading System Engineer, Baltika Breweries
Scalability &
Performance
o
o
o
o
Use hardware and software resources more efficiently to reduce costs
Flexibility to address the need for more capacity
Predictable response times reduce user frustration and support costs
With different types of data, need to store, find and use the collected data.
Data compression, including
UCS-2
Up to eight processors
Scale Up to More
Hardware
Multiple instances per server
Scale Out Reporting
Increased Query
Performance
Predictable
Performance
Virtualization licensing
benefits
Partitioned table parallelism
StreamInsight (serial
processing)
Scalability &
Performance
Use More Processors
o
Can execute parallel index and
consistency check operations
o
The query optimizer makes
operations parallel when there is a
benefit
o
Standard edition only uses single
CPU for index and consistency check
operations
“For most large queries SQL Server generally scales linearly or nearly linearly.
For speed up, this means that if we double the number of CPUs, we see the
response time drop in half.”
—Craig Freedman, Coauthor, Inside Microsoft SQL Server 2005: Query Tuning and Optimization
Scalability &
Performance
Multiple Instances
o
Provides support for more
processors and memory to
consolidate multiple databases onto
more powerful hardware
o
Protect data through unique security
contexts of each named instance
o
Reduce power consumption, rack
space, and management costs as
servers typically have only 15 to 20
percent utilization
Server consolidation on a truly scalable platform… not only can deliver positive
economic advantages in the short term, but can position organizations for
lower operating costs, and improved service delivery for years to come.
—Server Consolidation Case Study by HP
Scalability &
Performance
Virtualization Licensing
o
Increases deployment flexibility by
running SQL Server inside a
virtualized OS, which allows it to be
easily moved or migrated to another
server
o
Allows 4 virtual machines/processor
for each licensed physical processor
o
Provides flexibility in managing
server farms by allowing licenses to
be moved between servers without
restrictions
Virtualization is the top spending priority for CIOs with a 5 percent increase in
the number of companies budgeting for virtualization and more than a 15
percent increase in spending .
—CIO|Insight Top IT Spending Priorities Report for 2009
Scalability &
Performance
Data Compression
o
20% to 60% compression ratios*
o
Saves disk storage
o
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0101001
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0101001
Can be used with backup compression,
now available with Standard
o
Provides more room to store more
data, which allows more instances to
share disk resources
o
Reduces data size to increase
performance
o
Moves more applications to the data
center based on reduced storage
"Upgrading to SQL Server 2008 and taking advantage of the Data
Compression feature has enabled us to extend the useful life of our SANs. We
are seeing data compression in excess of 80 percent.”
—TJ Fang, CIO, Quanta Computer
*Stated percentages are typical but not guaranteed
Scalability &
Performance
Partitioned Table Parallelism
o
Manage and access subsets of data
quickly and efficiently by running
queries against partitioned tables in
parallel
o
Reduce time for data load and
maintenance operations
o
Take advantage of all CPUs in the
machine for processing to deliver
results faster
“Enhancements in partition query dramatically reduce the effects of lock escalation
on systems that have to process hundreds and thousands of transactions per
second, improving availability and improv[ing] query response time.”
—Randy Dyess, SQL Server Mentor, TechNet Article
Scalability &
Performance
Application
Output Adapters
Input Adapters
MSFT CEP Engine
Reference data
Devices, Sensors
StreamInsight
o
Monitor, analyze, and act on data in
motion with complex event
processing
o
Process events from RFID, sensors,
pressure flows, web analytics, and
other external input with low latency
o
Combine events with historical data to
gain insight into the current state of
your business
o
Continuous improvement with the
ability to adjust KPIs based on data
processed
Pagers & Monitoring devices
`
Web servers
KPI Dashboards, SharePoint UI
Trading stations
Event stores & Databases
Stock tickers & News feeds
Event stores & Databases
“…derive immediate business value from this raw data by lowering the cost to extract,
analyze, and correlate the data and by allowing you to monitor, manage, and mine the
data for conditions, opportunities, and defects in close to real time.”
—Microsoft TechNet
Security
o Data is competitive asset and security against misuse is high business priority
o Organizations operate under rules and regulations that mandate strict data
security, privacy and integrity controls
o Prevent unauthorized access to data
o Protect against lost or stolen backup data
o Audit access to ensure proper use
Transparent data encryption
Common Criteria Certification
Audit All User Actions
Comply with Data Privacy
Regulations
Protect Encryption Keys
SQL Server audit
Extensible key management
Security
Key Criteria
Security functions: Access control, audit,
management, identification &
authentication, session handling and
memory management
Assurance components: Functional specs
and high level design plus independent
vulnerability testing
Common Criteria Certification
o
Requirement for many governments,
industries, and enterprise customers
o
SQL Server 2008 Enterprise achieved
Common Criteria (CC) compliance at
EAL1+ (Evaluation Assurance Level)
o
Represents the third time for CC
compliance and the first time for a 64bit version of SQL Server
o
R2 is built on the SQL Server 2008
foundation and brings forward the
security benefits with minimal changes
to the core engine
Environment: CC certified OS (Windows
Server) and admin roles
The Common Criteria was designed by a group of nations to improve the
availability of security-enhanced IT products, help users evaluate IT products
for purchase, and contribute to consumer confidence in IT product security.
— SQL Server Books Online
Security
SQL Server Audit
Employee
Marc
Boyer
Salary:
$40.000
o
Track reads, writes, and other events
to Windows Application Log and
Windows Security Log
o
Detect misuse of permissions early
on to limit possible damage
o
More granular audits for flexibility
o
Built into the database engine
o
Simple configuration using SQL
Server Management Studio
o
Faster performance than SQLTrace
Employee
User:
User:
Marc Anders
Tina
BoyerRiis
Makovec
Salary: Action:
Action:
$40.000
WRITE
READ
AUDIT
“The enhanced auditing tools in SQL Server 2008 enable us to track all
changes to tables and other data elements in our system.”
—Avad Shammout, Lead Technical Database Administrator, CareGroup HealthCare System
Security
Transparent Data Encryption
Employee
Marc
Boyer
Salary:
$40.000
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o
Encrypt the entire database on the
disk to protect against lost or stolen
disks or backup media
o
Does not increase database size and
has minimal performance impact
o
Does not require application
changes
o
Backups are automatically encrypted
o
Protects against direct access to
database files
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01001
01001
01001
“With SQL Server 2008 we have transparent encryption, so we can easily
enforce the encryption of the information in the database itself without
making any changes on the application side.”
—Avad Shammout, Lead Technical Database Administrator, CareGroup HealthCare System
Security
Extensible Key Management
Employee
Marc
Boyer
Salary:
$40.000
1100101
0010100
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1010110
0101001
o
“Defense in depth” makes
unauthorized access to data harder
by storing encryption keys away
from the data
o
May facilitate separation of duties
between DBA and data owner
o
Uses HSM for encryption and
decryption which may result in
performance gains
o
Enables centralized key
management across organization
…SQL Server 2008 helps CareGroup comply with HIPPA data encryption
requirements… SQL Server 2008 delivers an excellent solution… by supporting
third-party key management and hardware security module products.
—CareGroup Case Study
Manageability
o Reduce the cost to administer servers and focus resources on most strategic
needs and analyses
o Back up data for disaster recovery
o Efficiently monitor servers for compliance
o Prioritize business workloads based on resource needs
Application and Multi-server
Management
Easily Manage
Large Tables
Resource Governor
Manage a Large Number
of Servers
Table Partitioning
Help Ensure Predictable
Performance
Mirrored Backups
Manageability
Application and Multi-Server
Management
Data-Tier Developer
Database
Administrator
Control
Point
o
SQL Server Control Point provides
dashboard viewpoints into instance
and data-tier application utilization
o
Drill down into details to
troubleshoot or gather more
information
o
Easily adjust default utilization
policies to meet the needs of your
SQL Server environment
Managed Server Group
“Finance”
Client
"When you work in an environment where a single product requires up to 40 SQL
Server instances for its full life cycle, the multi-server management features of SQL
Server 2008 R2 become an invaluable tool – it’s almost like having an extra DBA.”
— Chuck Heinzelman, BigHammer
Manageability
Table Partitioning
o
Manage and access subsets of data
quickly and efficiently
o
Reduce time spent troubleshooting
storage allocation issues
o
Speed data load and maintenance
operations
o
Take advantage of all CPUs in the
machine to complete operations
more quickly
“Enhancements in partition query dramatically reduce the effects of lock escalation
on systems that have to process hundreds and thousands of transactions per
second, improving availability and improv[ing] query response time.”
—Randy Dyess, SQL Server Mentor, TechNet Article
Manageability
Resource Governor
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o
Allocate CPU and memory resources
to high-priority applications
o
Prevent runaway queries that hold
resources for extended periods
o
Provide a consistent user experience,
which can result in fewer service calls
about slow systems
o
Establish service-level agreements
(SLAs) with customers for predictable
response times
LIMIT 50%
LOAD 25%
LIMIT 30%
LIMIT 20%
15%
LOAD 45%
“Resource Governor allows us to control the percent[age] of total resources
any operation can consume so that they don’t adversely impact our real-time
data access.”
—Michael Steineke, Vice President, Information Technology, Edgenet
Manageability
Mirrored Backups
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0010
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0010
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0010
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0101
0010
o
Mirroring a media set increases
backup reliability by reducing the
impact of backup-device
malfunctions
o
As databases grow, the probability
increases that failure of a backup
device or media will make a backup
non-restorable
o
Having a mirror can resolve some
restore errors quickly by substituting
mirrored media for damaged
backup media
1100
1010
0101
0010
The backup media mirroring feature of SQL Server enables you to perform a
mirrored backup of a database to multiple backup devices, which greatly increases
the reliability of backups in case of faulty media or a lost backup device.
—High Availability White Paper
o
o
o
o
Provide up-to-date data to all employees to enable intelligent decision-making
Align decisions and actions with business goals
Improve organizational agility
Process large amounts of data in a fast, efficient, and affordable manner
Partitioned cubes
Fast Track Data Warehouse
Scalable shared cubes
Star join query optimizations
Enterprise-Scale BI
Master data services
Change data capture
PowerPivot for SharePoint 2010
Data-driven report
subscriptions
Data Warehousing
o
Data Compression
o
o
Table Partitioning and Table Partitioned Parallelism
o
o
o
Prevent runaway queries providing users a consistent experience
Master Data Services
o
o
Optimize common join scenarios to process more data faster
Resource Governor
o
o
Run queries against partitioned cubes in parallel
Speed data loads and minimize downtime for maintenance
Star Join Optimizations
o
o
20% to 60% compression ratios save disk storage
Standardize the data people rely on to make critical decisions
Change Data Capture
o
Speed updates to data warehouse tables
Business
Intelligence
Data Compression
o
20% to 60% compression ratios*
o
Saves disk storage
o
1001010
0101001
0100001
1111011
0101001
1001010
0101001
0100001
1111011
0101001
Can be used with backup compression,
now available with standard
o
Provides more room to store more
data, which allows more instances to
share disk resources
o
Reduces data size to increase
performance
o
Moves more applications to the data
center based on reduced storage
"We’re anticipating an 80 percent reduction in our backup file sizes using
backup compression on SQL Server 2008.”
—Peter Hammond, President, CyberSavvy
*Stated percentages are typical but not guaranteed
Business
Intelligence
Partitioned Table Parallelism
o
Manage and access subsets of
data quickly and efficiently by
running queries against
partitioned cubes in parallel
o
Reduce time for data load and
maintenance operations
o
Take advantage of all CPUs in
the machine for processing to
deliver results faster
“Enhancements in partition query dramatically reduce the effects of lock escalation
on systems that have to process hundreds and thousands of transactions per second,
improving availability and improv[ing] query response time.”
—Randy Dyess, SQL Server Mentor, TechNet Article
Business
Intelligence
DIMENSION
TABLE
Star Join Optimizations
DIMENSION
TABLE
DIMENSION
TABLE
o
Process more data in a shorter
time by optimizing common join
scenarios in a data warehouse
o
Significantly reduce the amount of
processing for star schema queries
o
Faster join processing speeds up
lookups during data load, which
shortens load windows and
enables more frequent updates for
better reporting
FACT TABLE
DIMENSION
TABLE
DIMENSION
TABLE
DIMENSION
TABLE
Rows Returned
1,000,000
623,194
“In addition to faster query processing, ORF has found an immediate improvement of
15 percent in data loading. We consider that a great advantage when you can get 15
percent faster data loading without having to change a line of our own code.”
—Gerald Schinagl, Project Manager and Systems Architect, ORF
Business
Intelligence
Resource Governor
o
Allocate CPU and memory resources
to high-priority applications
o
Allow OLTP and data warehouse
workloads on the same server while
limiting the impact of large data
warehouse queries on OLTP
o
Provide a consistent user experience,
which can result in fewer service
calls about slow systems
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LIMIT 50%
LOAD 25%
LIMIT 30%
LIMIT 20%
15%
LOAD 45%
“We deal with a lot of large data feeds—both coming from manufacturers as data
updates, and going out to our subscribers. Resource Governor allows us to control the
percent[age] of total resources any operation can consume so that they don’t
adversely impact our real-time data access.”
—Michael Steineke, Vice President, Information Technology, Edgenet
Business
Intelligence
1100
1010
0101
CRM
1100
1010
0101
Accounting
1100
1010
0101
LOB
Master Data Services
o
Standardize the data people rely on
to make critical business decisions
o
Enable central management of data
entities and hierarchies
o
Provide human workflow
notification of data that violates
business rules
o
Track changes to data over time with
versioning
“Investing in master data management solutions, especially in today’s difficult
economic times makes dollars and sense. Master data management is an
investment in cost savings, revenue recovery, human resource optimization,
and capital investment efficiency.”
— Kirk Haselden, Microsoft
Business
Intelligence
Change Data Capture
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01001
01001
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01001
UPDATE
INSERT
CHANGE
o
Enable change tracking to the data
in tables
o
Speed updates to data warehouses
by capturing net changes
o
Provide relatively low impact on
performance
“The CDC feature gives us the information we need and frees us from the task
of creating and testing triggers.”
—Gerald Schinagl, Project Manager and Systems Architect for the Sports
Database, Austrian Broadcasting Corporation Radio & Television (ORF)
Business
Intelligence
High-speed connectors
o
Third-party high speed connectors that are
available for Oracle and Teradata deliver
unparalleled throughput to extract and load data to
and from Oracle and Teradata
Pipeline data and text mining
o
Perform prediction queries against a data mining
model while loading the data warehouse to reduce
overall data load time
Fuzzy lookup
o
Clean, correct, and provide missing data values
o
Standardize information to provide more accurate
reports with less intervention
Microsoft Connector for SAP BI
o
SAP certified connector for SQL Server Integration
Services to connect to the SAP NetWeaver Business
Intelligence system
Solution to help customers and partners accelerate their data warehouse deployments
Fast Track Data Warehouse offers reference architectures and templates for data warehouse
solutions to increase scale and speed time to value for creating data warehouses.
Analysis Services
o
Scalable Shared Databases
o
o
Partitioned Cubes
o
o
Scale analysis workload across multiple commodity servers
Improve query performance
Proactive Caching
o
Increase performance while maintaining maintainability
Business
Intelligence
Scalable Shared Database
o
Centralized, read-only Analysis Services database
shared by multiple instances
o
Scale workload across multiple commodity servers
Partitioned Cubes
o
Decrease disk space required and processing time
o
Improved query performance
o
Scale out to multiple servers
Proactive Caching
o
Provide performance of multidimensional online
analytical processing (MOLAP), while retaining immediacy
and manageability offered by relational OLAP (ROLAP)
Reporting Services
o
PowerPivot for SharePoint 2010
o
o
o
Manage and share reporting data
Provide analysis data to all users
Data Driven Report Subscriptions
o
o
Easily manage report distribution
Get the right data to the right people
Business
Intelligence
PowerPivot for SharePoint 2010
o
Examine large amounts of data in a familiar
tool to gain deep insight
o
Work seamlessly with SharePoint 2010 to
collaborate with thousands of users on that
data
o
Enable IT organizations to manage the service
with the PowerPivot Management Dashboard
Administrator
Power User /
Report Developer
End User
"Using Excel as an interface for Self-Service BI, we are modeling, analyzing and
pivoting millions of records in memory and publish it to SharePoint in few minutes
and other people being able to access it from a URL. It is fast and easy”
— Ayad Shammount, Lead DBA, Caregroup
Business
Intelligence
Data-Driven Report Subscriptions
o
Use a single subscription to push the right information to
the right recipients in the right format
o
Reduce administrative burden associated with reporting
solutions
Scale-Out Reporting Deployment
•
•
•
Provide significant performance improvements
Incrementally add or remove commodity servers
Increase number of concurrent users using load balancing
o Greater demand to lower need for new storage and servers
o Need to more efficiently use existing resources, hardware, software and people,
to meet external and internal customer needs
o Need to provide higher availability without increasing costs
Data compression, including UCS-2
Virtualization licensing benefits
Cost Savings
Application and Multi-server
Management
Multi-instance clustering
Cost
Savings
Virtualization Licensing
Benefits
o
Increases deployment flexibility by
running SQL Server inside a
virtualized OS, which allows it to be
easily moved or migrated to another
server
o
Allows 4 virtual machines/processor
for each licensed physical processor
o
Provides flexibility in managing
server farms by removing the 90day wait between server moves
Virtualization is the top spending priority for CIOs with a 5 percent increase in
the number of companies budgeting for virtualization and more than a 15
percent increase in spending .
—CIO|Insight Top IT Spending Priorities Report for 2009
Cost
Savings
Application and Multi-Server
Management
Data-Tier Developer
Database
Administrator
o
Central
Management
o
Managed Server Group
“Finance”
o
Client
Identify consolidation opportunities
through dashboard viewpoints into
instance and data-tier application
utilization
Strengthen collaboration between IT
and development with a single unit
of deployment across Visual Studio
2010 and SQL Server 2008 R2
Reduce time and errors associated
with database application
deployments and upgrades
"When you work in an environment where a single product requires up to 40 SQL
Server instances for its full life cycle, the multi-server management features of SQL
Server 2008 R2 become an invaluable tool – it’s almost like having an extra DBA.”
— Chuck Heinzelman, BigHammer
Cost
Savings
Data Compression
o
20% to 60% compression ratios*
o
Saves disk storage
o
1001010
0101001
0100001
1111011
0101001
1001010
0101001
0100001
1111011
0101001
Can be used with backup compression,
now available with Standard
o
Provides more room to store more
data, which allows more instances to
share disk resources
o
Reduces data size to increase
performance
o
Moves more applications to the data
center based on reduced storage
"We’re anticipating an 80 percent reduction in our backup file sizes using
backup compression on SQL Server 2008.”
—Peter Hammond, President, CyberSavvy
*Stated percentages are typical but not guaranteed
Cost
Savings
Multiple-Instance Database
Clustering
110010
110010
100101
100101
110010
110010
100101
100101
110010
110010
Active
Failover
Offline
Active
o
More than one passive node is
available to host instances from
multiple failovers on active nodes
o
Multiple instances can share the
same failover node, which reduces
hardware costs
o
Simplified setup reduces
administrative costs
110010
100101
110010
100101
110010
Active
Because of the critical nature of the G4S application, CASON sets up the
servers in a failover cluster to ensure high availability.
—CASON Case Study
High
Availability
Scalability and
Performance
Security
Manageability
Business
Intelligence
Cost Savings
Multiple instance
database
clustering
Up to eight
processors
Common
Criteria
Certification
Application and
multi-server
management
Partitioned cubes
Virtualization
licensing benefits
Automatic page
repair with
database mirroring
Multiple
instances
SQL Server
audit
Table
partitioning
Star join query
optimizations
Application and
multi-server
management
Database
snapshots
Virtualization
licensing benefits
Transparent
data encryption
Resource
governor
Master Data
Services
Data compression,
including UCS-2
Online
operations
Data
compression,
including UCS-2
Extensible
encryption key
management
Mirrored
backups
Change data
capture
Multiple instance
database clustering
Live migration
Partitioned table
parallelism
Fast Track for
Data Warehouse
Hot-add CPU
and RAM
StreamInsight
(serial processing)
Scalable shared
databases
Peer-to-peer
replication
PowerPivot for
SharePoint 2010
Data driven report
subscriptions
ENTERPRISE EDITION has more than 60 features not in Standard edition
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The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must
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provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.