Præsentation fra Smarter Business 2012

1. CSC REFERENCE CASE
IBM NETEZZA
John V Fabienke
Chief Architect, Nordic Architecture Practice

2. Agenda
CSC Enterprise Business Intelligence
I. capability overview
3
II. Zürich Netezza case study 7
III. CSC Nordics Netezza PoC capability 22

3. Capability Overview

4. CSC Enterprise Business Intelligence Framework
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5. CSC Enterprise Performance and Information Management
Practice (EPIM)
EPIM Practice (40+ SMEs)
BI Capability Data Management Capability
GLOBAL GOVERNANCE
PRACTICE Strategy
BI SOLUTION and SERVICE DATA SOLUTION and SERVICES
Tower of Competency Tower of Competency
Planning & Knowledge Management
Data Solutions
GLOBAL BI Solution
Integration
OFFERINGS Analytics Solutions
Architecture & Disruptive Technologies
Solutions
BI Services Data Services
Analytics Services Integration Services
GLOBAL EMEA Enterprise Information Capability Group (120+ SMEs)
DELIVERY
BI Capability Data Management
BI Services Data Services
Analytics Services Integration Services
Offshore Capability (800+ SMEs)
BI Capability Data Management
BI Services Data Services
Analytics Services Integration Services
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6. CSC’s Global Business Intelligence Alliances
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7. Zürich Case Study
IBM Netezza solution

8. Netezza Overview
Business problem to solve
• Client‟s current mainframe and DB2 based infrastructure that their financial close
processing, data warehouse processing, regulatory reporting and Business Intelligence
reporting runs on was over 4 years old
• Client was at full capacity on multiple fronts and the DB2 environment required a significant
investment to upgrade
• With the introduction of the U2Z program data into client‟s month-end close the system was
no longer able to meet SLAs for the month-end close process
• Even after 9 months of tuning the DB2 environment SLAs were still unable to be met
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9. Netezza Overview
What scenarios were considered?
• Netezza was suggested as a simple, high-performance solution
• Teradata was included due to their being the long-term industry leader
• IBM‟s traditional offering was considered as well
• Oracle was dismissed due to TCO, lack of existing footprint and skill sets
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10. Netezza Overview
PoC performance results
• Netezza and Teradata reporting consistently in the 10x – 200x performance improvement
range across the board
• Analytic run queries ran 150 to 18,000 times faster than the current DB2 platform on both
Netezza and Teradata
• Compared to DB2 performance differences between Teradata and Netezza were negligible
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11. Netezza Overview
Reference calls
• Teradata is usually used as an Enterprise Data Warehouse “workhorse”
• Netezza is usually used as a reporting engine
• Cost was the major factor in choosing Netezza over Teradata
‒ A few references had purchased both platforms for contract negotiations
• Both platforms returned over 95% of user queries within 60 seconds
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12. Netezza Overview
Netezza was chosen
• Teradata‟s version 13 was not compatible with the client‟s version of Business Objects and
Informatica
• Teradata ran out of time to provide data points used to measure the month-end processing
performance
• The Netezza platform was a less complex solution than Teradata
‒ Better fit for client‟s out-sourced model
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13. Netezza Overview
Slice of User Data
Disk Enclosures Swap and Mirror partitions
High speed data streaming
SQL Compiler
Query Plan
SMP Hosts
Optimize
Admin
Snippet Blades™
(S-Blades™)
High-performance
database
engine streaming joins,
aggregations, sorts, etc.
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14. EDW Architecture Overview
Application Architecture: EDW
INPUT OUTPUT
DMS
Mainframe
CESAR
CIID EDW on DB2
COS
Informatica
RADIUS/PALM EDW BO
ZNAW ZDW
DICE ZEA C Class
Work
ZDW Bench/EDB
Netezza
CORE
WORKBENCH
BIW Farmers
nzload
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15. Netezza Overview
PoC Query Timings
Business Objects Reports & SAS queries DB2 Timings (sec) NZ Timing ROWS
Comm Analysis Template – Dec 2 „08 - 23 113.516
Comm Analysis Template – Dec ‟08 - AON 227 60 56.134
HPY AY Loss Ratio Analysis 1.380 51 190.688
Policy Effective year Template 2.460 14 888.324
Comm Analysis Template – Dec 2 „08 7.166 41 341.234
Comm Analysis Template – Dec 2 „08 - Marsh 2.150 15 44.308
Direct Written Premium - 2006 300 118 1.322.590
Construction Expiration List – Date Promt 2.024 22 29.510
Domestic Linked to Customer with Foreign 2009 1.800 17 20.597
International Report – Final – Dec Results 2.100 36 29.755
NSBs Large Account Renewals 660 40 3.567
Comm Analysis Template – Dec 2 „08 - AJG 7.826 15 33.263
Comm Analysis Template – Dec 2 „08 - Wells Fargo 6.854 13 25.290
HPA Comm Analysis 5.971 16 4.182
Comm Analysis Template – Dec 2 „08 - HUB 2.840 14 15.508
Producer Code to Dist ID - 17 29.780
Query 1 38.317 43 1.480.812
Query 2 54.707 5 4.169
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16. Netezza Overview
DB2 and Netezza landscape
• DB2 has not gone away, a few applications still live on DB2
• DB2 environment was moved to InfoSphere Change Data Capture (CDC)
• Informatica environment is completely on DB2
• Working on shrinking the DB2 environment
• Netezza replication to Reston can be accomplished via Netezza utilities
‒ NZ_MIGRATE
‒ Data is sent compressed
‒ 2 TB per hour throughput
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17. Netezza Overview
How have things improved with Netezza?
• Month-end processing is down from 9 days to 3 days
‒ Within 6 months client anticipate to have this down to 2 days
• ADS processing does not stop for month-end (no catch-up time)
• Queries can run on the Netezza platform during month-end processing
• SAP feed down from day 3 to day 1 of Month-end processing
• Netezza load and unload speed of 2 TB per hour
• Developer mindset change from sequential to set processing
• Business Object query time has dropped significantly
‒ Average BO query on DB2 took over 3,100 seconds
‒ Average BO query on Netezza now runs in 6.5 seconds
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18. Netezza Overview
How have things improved with Netezza?
• On November 18, 2011 16.172 queries ran on the TF12
‒ Largest number of queries run on a single day
‒ Average query time was 0.83 seconds
‒ Longest query time was 47 minutes (Informatica)
‒ Peek of 8,243 queries completed per hour
‒ Host CPU utilization never went above 10%
‒ SPU (blade) utilization never went above 17%
• EDW conversion PoC
‒ 4.1 million updates ran in 18 seconds
‒ Executed on TF6
‒ Informatica & post session task
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19. Netezza Overview
Bumps along the way
• Netezza and Linux upgrades have caused issues
• Netezza off-hours support is poor
• Technical Account Manager (TAM) knowledge is lacking
• Integration error debugging knowledge is lacking
• 48 concurrent query limit on each Netezza appliance have caused issues
• Service provider requirements not accommodated for
‒ Features lacking for guaranteeing SLA‟s
‒ Limited multi-tenancy features
• Netezza documentation is lacking or sometimes incorrect
Light at the end of the tunnel
• IBM will bring stability to these issues
• Client is member of the Netezza Advisory Board to escalate issues
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20. Netezza Overview
What’s Next?
• More projects being developed on Netezza
• Plan Migration of ZEA to Netezza
• Look at other systems to migrate (EDW + CDW)
• Netezza upgraded in 2012
‒ 2x performance
‒ 5x or better compression
‒ 4TB/hour load and unload speeds
‒ Concurrent Query limit raised to 100
‒ Smart Caching
‒ Query Mix: large percentage of short, tactical queries
‒ Granular Zone Maps (potential 24x reduction in reads)
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21. Netezza Overview
What’s Next?
• Informatica Pushdown Optimization (PDO)
‒ Informatica mapping converted to SQL
‒ SQL is submitted to Netezza
‒ All data stays on Netezza
‒ All processing happens within Netezza
• PDO example – Creation of Combined Mart
‒ Before: DB2 only method – 18 to 20 hours
‒ After: Netezza conversion – 6 to 8 hours
‒ Future: Netezza with PDO – expected 1 to 2 hours
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22. Netezza PoC capability
CSC Nordics

23. Scandihealth POC Setup
Selected
Near Real
Tables
Push Time
Xfer
Reports
Changes
Mainframe + DB2 CDC server Netezza Cognos + Targit
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24. Business case
Optimize hospital beds
• Calculate availability of hospital beds more frequently in order to optimize utilization
• Utilization of beds is an important KPI for a hospital
• Before
– At best the customers would get calculations once a day
• After
– Calculations performed every 15 minutes
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25. Findings
All business requirements met
• Data is updated in near real-time
• Queries can now be very frequent
• No incremental MIPS cost for queries and reports
• The load CDC imposed on mainframe MIPS was insignificant
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26. Thank You
Q&A