1. All up datawarewhouse – From SMP
to Parallel Data warehousing

4. Take 1 big SAN
Add a little Server
Add a bigger Server
Add more networking

5. POTENTIAL PERFORMANCE BOTTLENECKS
FC
HBA
A
B
FC
HBA
A
B
FCSWITCH
STORAGE
CONTROLLER
A
B
A
B
CACHE
SERVER
CACHE
SQLSERVER
WINDOWS
CPUCORES
CPU Feed Rate HBA Port Rate Switch Port Rate SP Port Rate
A
B
DISK DISK
LUN
DISK DISK
LUN
SQL Server
Read Ahead Rate
LUN Read Rate Disk Feed Rate

6. It’s all about …. SIZING

7. One SHOEdoes not FIT ALL

8. Transaction
processing
simplifies and
accelerates data
capture for
accurate business
decisions
Data warehousing
enables common
data model for
single version of the
truth
Analysis leads
to optimized
business
processes and
improved
performance

9. Data Warehouse Scope
DataPath
Data Warehouse
Analysis Services
Cubes
PerformancePoint
Dedicated
SAN, Storage
Array
Reporting
Services
Web Analytic
Tools
Integration
Services ETL
SharePoint
Services
Microsoft Office
SharePoint
Data Staging,
Bulk Loading
Supporting
Systems
BI Data Storage
Systems
Presentation Layer
Systems
Data Warehouse Scope
(dashed)
PresentationDataPresentationData

10. Data Warehouse Scenarios
• No longer exclusive to
large enterprises and
specialists analysts
• Growth of affordable
self-service BI tools such
as PowerPivot and
Reporting Services has
created a DW
requirement for smaller
businesses and individual
departments

11. Microsoft Data Warehousing Offerings
Scalable and reliable
SMP platform for data
warehousing on any
hardware
Scalable and reliable
platform for data
warehousing on any
hardware
Reference
architectures offering
best price
performance for data
warehousing
Appliance for high end
MPP Data Warehousing
delivering highest
scalability and
performance
Ideal for data marts or
small to mid-sized
enterprise data
warehouses (EDWs)
Ideal for large data
marts or mid-sized
EDWs
Ideal for data marts or
small to mid-sized
data warehouses with
scan-centric
workloads
Ideal for high scale or
high performance data
marts and EDWs
Software only
Integrated Appliance
(Software and
Hardware)
Reference
Architectures
(Software and
Hardware)
DW Appliance
(Fully integrated
Software and Hardware)
Scale-Up DW Scale-Up DW Scale-Up DW Scale-Out DW with MPP
10s of terabytes <5 terabytes 5–80 terabytes 10s - 100s of TB
Software Assurance;
Premier Mission Critical
Support
3-Year Support Plus 24
Software Assurance;
Premier Mission Critical
Support
Mission Critical
Advantage Program
Enterprise Fast Track Data
Warehouse RA
BDW
Appliance
Parallel Data
Warehouse

12. Microsoft Data Warehouse Offerings
Effort to Build Very High Very Low Modera
te
Modera
te
Moderate Mode
rate
Very
Low
Capacity Variable 5 TB 14 TB 20 TB 40 TB 40 TB 500 TB
Concurrency Variable Light Light Medium Medium High Very
High
Query
Complexity
Variable Medium Mediu
m
Medium Medium High Very
High

13. Business Data Warehouse
Appliance

14. Business Data Warehouse Appliance
Agile
• Deploy in hours/days, not in
months
• Easy to use through built-in
dedicated tools to load and manage
your data warehouse
• Designed for up to 5TB data
warehouses
• Fast Track 3.0 compliant, license
path to Fast-Track
Complete
• Hardware + Software
+ Services
• Pre-tuned, pre
configured, pre-
installed. Turn on and
go!
• Single point of contact
for support
Optimized
• Specifically for small to
medium data warehouse
workload
• Designed for performance,
energy efficiency, and value
by HP and Microsoft’s best
engineers
• Security and reliability built
in

15. Scenarios
Small/Departmental
Data Warehouse
Spoke in EDW Hub and
Spoke Architecture

16. Reference Architectures

17. Fast Track Data Warehouse Components
Software:
• SQL Server 2008 R2
Enterprise
• Windows Server 2008 R2
Configuration guidelines:
• Physical table structures
• Indexes
• Compression
• SQL Server settings
• Windows Server settings
• Loading
Hardware:
• Tight specifications for
servers, storage
and networking
• ‘Per core’ building block

18. SQL Server Parallel Data
Warehouse

19. SQL Server Parallel Data Warehouse
• Tier-1 Enterprise Data Warehouse Appliance Offering
– High scalability from tens to hundreds of terabytes
– High performance through the MPP system
• Flexibility and Choice
– Choice of deployment options through distributed
architecture
• Most Comprehensive Solution
– Complete data warehouse solution spanning desktop,
enterprise data warehouse, and data marts

21. SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL

22. SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
 Client connections always go through the control
node
 Contains no persistent user data
 Parallel Data Warehouse advantages:
oProcesses SQL requests
oPrepares execution plan
oOrchestrates distributed execution
 Local SQL Server processes final query plan and
aggregates results
 Provided by DataDirect
oOpen database connectivity (ODBC),
object linking and embedding database
(OLE DB), Java Database Connectivity
(JDBC), and ActiveX® Data Objects
(ADO.net) client drivers
oWire protocol (SeQuel link)
oDrivers are available for 32 bits and 64 bits
CONTROL NODE

23. SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
 Provides Support and Patching for the
Appliance
 Holds image for re-deployment of compute
node
 Holds Active Directory
MANAGEMENT NODE

24. SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
 Provides high-capacity storage for data files
from ETL processes
 Is available as a sandbox for other
applications and scripts that run on the
internal network
 Provides SQL Server Integration Services
LANDING ZONE
Source
Landing
Zone
Files
Data
Loader
Compute
Nodes
DWLoader or
SQL Server
Integration
Services

25. SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
 Provides Integrated Backup Solution
 Integrates with 3rd party backup option
 Orderable in different sizes
BACKUP NODE

26. SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
• Data Rack Servers 10
active + 1 passive
• HP ProLiant DL360 G7
compute nodes
• InfiniBand, FC and
Ethernet switching, 42U
rack
• Expansion Grow from 1–
4 data racks, storage
options, test/dev system
• Storage 10x HP
StorageWorks MSA
P2000 G3
• Consists of COMPUTE
NODES and STORAGE
NODES

27. SQL
• Data Rack Servers 10
active + 1 passive
• HP ProLiant DL360 G7
compute nodes
• InfiniBand, FC and
Ethernet switching, 42U
rack
• Expansion Grow from 1–
4 data racks, storage
options, test/dev system
• Storage 10x HP
StorageWorks MSA
P2000 G3
COMPUTE NODE
 Each MPP node is a highly tuned symmetric
multi-processing (SMP) node with standard
interfaces
 Provides dedicated hardware, database,
and storage
 Runs SQL Server
 Spare Node provides failover in case of
node failure
 Drives are configured as RAID 1

28. SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
Client Drivers
ETL Load Interface
Support/Patching
Corporate Backup
Solution
PDW – Client Connectivity

29. SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
SQL
QUERY???
???
???
???
???
???
???
???
???
???
???
???
PDW – Query Processing

30. Replicated
A table structure exists as a full copy within each discrete Parallel
Data Warehouse node.
Data Layout Approaches
Distributed
A table structure is hashed on a single column and uniformly
distributed across all nodes on the appliance. Each distribution is a
separate physical table in the database management system
(DBMS).
Ultra Shared-Nothing
Provides the ability to design a schema of both distributed and
replicated tables to minimize data movement between nodes.
 Small sets of data can be more efficiently stored in full
(replicated).
 Certain set operations (such as single-node operations) are
more efficient against full sets of data.

31. Ultra Shared-Nothing Architecture
Extends Traditional Shared-Nothing Design
 Pushes shared-nothing architecture into the SMP node—there is IO and CPU affinity
within SMP nodes
o Eliminates contention for user queries
o Uses full resources for each user query
 Provides multiple physical instances of tables
o Distributes large tables
o Replicates small tables
 Redistributes rows as needed
Provides Fault Tolerance
 All hardware components have redundancy (including CPUs, disks, networks, power, and
storage processors)
 Control and compute nodes use failover clustering
 Management nodes have active and standby states

32. Administrative Console
https://controlnodeipaddress
 Dashboard
 Query activity
 Load activity
 Backup and restore
 Active locks
 Active sessions
 Alerts
 Appliance state

33. Parallel Data Warehouse Configuration Manager
 Appliance topology
 Services status
 Network
configuration
 Privileges

34. Parallel database
copy technology
enables rapid data
movement and
consistency between
EDW and data marts
Create SQL Server 2008 R2, Fast Track Data Warehouse,
and SQL Server Analysis Services Data Marts
Supports user groups
with very different
service-level
agreements (SLAs):
• Performance
• Capacity
• Loading
• Concurrency
Flexible Business Alignment
A distributed architecture gives you the flexibility to add or change diverse
workloads
or user groups while maintaining data consistency across the enterprise

35. Landing
Zone
ETL Tools
Distributed Data Warehouse Architectures
Departmental
Reporting
Regional
Reporting
High-
Performance
Reporting
Central EDW
Hub
Regional
Reporting
with Business
Decision
Appliance
Third-
Party
RDBMS
Third-
Party
Data
Integrati
on
Mobile
Applicati
ons

36. Determining the Right Solution
What is the workload?
 Number of concurrent users
 Query complexity
 Query mix
 Load processing
 Performance requirements
What is the customer looking for in a solution?
 Simplicity in the appliance
 100 percent compatibility with SQL Server 2008 R2
 Enterprise scalability
 Economical hardware
 Incremental expansion and high availability by default

37. Parallel Datawarehouse
 Enterprise-class scalability to hundreds of terabytes
 High performance
 Interoperability with leading BI products
 Mission critical support and maintenance
 Mature SQL Server platform with high security and robust
engineering process
 Strong data warehouse vision and roadmap that includes industry-
leading technologies
Value to Customer
Supporting Features
 MPP with ultra shared-nothing architecture
 Distributed query optimization
 Balanced hardware with pre-tested and pre-tuned appliances optimized for data
warehousing
 Third-party product integration (for example, Microstrategy, Business Objects, and
Informatica)
 Mission critical support and maintenance
 Road map includes column store, petabyte scalability, real-time data warehousing, MDM,