The document introduces the HP Neoview enterprise data warehousing platform as the next generation solution for managing large and complex data. It discusses how data volume is growing exponentially and traditional approaches are insufficient. The Neoview platform is presented as a massively parallel processing solution that can scale to handle thousands of users and terabytes of data through integrated hardware and software designed for high performance, availability, and manageability.

1. Introducing the next
generation in data
w arehousing
HP Neoviewenterprise
data warehousing platform
M Low Hon Chau
r. ,
Regional S. Director, FSI (SE. Asia)
Hew Packard
lett
Banking 2007 – Vie tnam (May 30 – June 1, 2007)
© 2007 Hew lett-Packard Developm Com
ent pany, L.P.
The inform 1, 2009
1 Julyation contained herein is subject to change without notice

2. Discussion topics
• Industry trends and market dynam ics
− The need for better business outcomes
− Relevance to Banking in Vietnam
• A newapproach to data w arehousing
− Em pow ering decision-making
− and action taking
• The HP Neoviewplatform
− Designed for the next generation in data
warehousing
• Questions & Answers
2 July 1, 2009

3. BI & Data Warehouse –Vietnam
Context
•
Large Country, Population
•
Cash-Based, now
•
Future –Internet Banking
•
Credit Cards, Cash Less, Int’
l
•
Lots of Data Generated
•
Account Data, Transaction Data
•
Financial Data
•
Demographic Data
•
Psychographics Data
•
Consum Data & Business
er
Data
What are the Banks g o ing to
do with all the s e Data ?
Pho to c re dit: USAID
3 July 1, 2009

4. Traditional data warehouse approach
Physical Index
Analyze Load Query Ongoing
database and
data data data tuning
design aggregate
• Performance is dependent on getting a good
physical design
• Tim to m
e arket w newdata is lim
ith ited by skills
and resources
• Query perform ance is poor when queries don’ t
take advantage of the design (no index scans)
4 July 1, 2009

5. Howdo w use the data/Inform
e ation ?
Healthcare Retail Com unication
m
Banking s
m edia and
s e rvic e s entertainment
• Ris k manag e me nt • Patient outcomes • Wallet share • Digital content
• Bas e l II c o mplianc e • Case correlation • Real-time integration
• Cus to me r pro fitability • Single view decision-making • Custom er
• Supply chain retention
• Cus to me r S atis fac tio n • Regulations for
patient records optimization • Fraud
• Be at Co mpe titio n
(HIPAA) • Billing records
and call logs
Broad governm regulations: (Country Specific)
ent
5 July 1, 2009

6. W Happens W
hat hen the Situation Becom Com
es plex?
Treasury
Retail Banking
Corp. Banking
Trade Finance
Asset
Management
Internet Banking
Credit Card
Bank HR
M t Reporting
gm
SBV Reporting
And?
And?
Pho to c re dit: USAID
And?
And?
6 July 1, 2009

7. Market dynamics
• BI is becom m strategic to the business
ing ore
− 2007 Gartner survey of CIOs ranked BI applications as #1 priority for
second year running (Business Intelligence Market Dynam ics, M arch 2007)
• Information capacity continues to grow
− According to IDC, total storage capacity is expected to growat a CAGR of
67% betw een nowand 2010, from roughly 6,000 petabytes today to m ore
than 27,000 petabytes in 2010 (“ W
IDC orldw IT Spending 2006–
ide 2010
Forecast: The Worldw Black Book, Version 1,”
ide 2006)
“Integrating non-m ission-critical data warehouses w m
ith ission-critical
system creates an unm
s anaged point of failure” Tim to GrowUp:
(“ e
The M odern, M ission-Critical Data Warehouse,” Gartner, March 2007)
7 July 1, 2009

8. A newapproach
to data
w arehousing
Em powering decision-making and action
taking
8 July 1, 2009

9. Business intelligence is evolving to
becom an integral part of business
e
operations
• Strategic • Operational
• Reporting • Autom ating action
• Standalone • M ission-critical com ponent
• Weekly batch updates • Continuous online updates
• Sim ETL
ple • Sophisticated data integration
• Single-function departm ental • EDW supporting “ single version of
data m arts the truth” m
for ultiple applications
• Fewusers doing strategic • Thousands of users perform ing
analysis m any types of tasks
• Data volum < 1 TB
e • Data volum at m than 100 TB
es ore
• Response tim and
e • Near-real-tim response and 24x7
e
availability not critical online everything
• Sum arized data
m • Detail plus years of history
9 July 1, 2009

10. Business technology portfolio
Technology for better business outcomes
Provide good inform ation to
Business Information Optimization produce better business
decisions
Business Technology Optimization
Low risk to the enterprise
er
w better control of the
ith
infrastructure
Adaptive infrastructure
Reduce the cost of IT while
Servers and
Services Software delivering m to the
ore
storage
business
10 July 1, 2009

11. The HP Neoview
platform answ the ers
call
Designed for the next generation
11 July 1, 2009

12. W is the Neoviewplatform
hat ?
• An integrated hardw and softw platform for EDW designed to
are are
support terabytes of data and up to 256 processors
• A com plete, preconfigured solution that can be rapidly deployed, easily
m anaged, and is com patible w existing BI applications and system
ith s
• Built from redeployable standards-based hardw are com ponents
ETL tools Query tools
Standard
Load/unload Integrated interface
software hardw are softw are
OS
IBM W ebSphere
Information Integration DBM S
Managem console
ent
12 July 1, 2009

13. HP Neoviewplatform
The next-generation enterprise data warehouse
Simplicity and lower
Enterprise-class TCO
+
capabilities ●
Com odity platform
m
●
High-perform ance, ●
Prebalanced,
m assively parallel preconfigured, and
database pretested
●
Handles com plex queries ●
Easy to incorporate into
and m ultiple users existing environm ents
●
Readily scales to 100s ●
Rem otely m onitored and
of processors m anaged by HP
●
Built-in fault tolerance ●
Reduced operating and
adm inistration overhead
Data warehouse platform
Surrounded by world-class HP services
13 July 1, 2009

14. Industry-standard components offer
better value
BI client
Gigabit Ethernet
….
ETL clients
….
Sw itch
fabric
HP
HP Integrity HP ServerNet
StorageW orks
servers technology
Fibre Channel
disks
14 July 1, 2009

15. The Neoviewarchitecture is enhanced
for decision support
• Shared-nothing MPP
●
Each processor is a unit of parallel work
BI client
●
Transparent softw virtualization
are
• Database virtualization
●
Data is transparently hashed across all disks
●
Balances I/O activity and processor utilization
• Parallel query execution
●
Queries are divided into subtasks and executed in parallel with
results stream through m ory
ed em
●
Execution is pushed dow to low softw level
n est are
Fault tolerant
ETL clients
•
●
Platform is available 24x7 in spite of any single point of
hardw or softw failure
are are
●
Leverages 30 years of HP NonStop engineering
• Extrem processing pow
e er
●
1 Intel® Itanium 2 processor to tw pairs of RAID 1 drives
®
o
15 July 1, 2009

16. Neoviewplatform is designed to meet
next-generation needs
Architectural feature Key custom benefit
er
M assively parallel processing across hundreds Consistent high performance in mixed workloads
of processors
Shared-nothing architecture Linear scalability without bottlenecks or limits
Advanced parallel query optimizer Fast processing of complex queries
Built-in fault tolerance Superior availability without extra cost or
managem overhead
ent
Rem m
ote anagem and m
ent onitoring from HP Simplified administration and reduced risk
Industry-standard components Investm protection and easier data center
ent
integration
High ratio of processing pow to storage
er Reduced need for indexes and sum ary tables
m
Com pletely integrated hardware, software, Faster tim to benefit
e
and services
16 July 1, 2009

17. “ tests processing tens of terabytes
In
of data in parallel across as m any as
256 processors, the HP Neoview
platform delivers im pressive
perform ance at a surprisingly
attractive price… .”
Richard Winter
President, WinterCorp
17 July 1, 2009