Business Intelligence
& Data Warehousing
Value Proposition
Philippe Julio – Principal Field Technologist
Sun Microsystems France
November, 2009
November 2009 1

Business Intelligence
Vision
« The Data are not created relevant,
they become so ! »
November 2009 2

Business Intelligence
Business Drivers per Industry
• Manufacturing : Reengineering sales – Reengineering distribution - Intensified focus on customer –
Comment la construire ?
Business
Costs reduction
• Drivers
Telecommunications : Internationalization, Costs reduction
• By
Banking Finance : Banking and financial regulations observance - Increase risks management, Costs
Industry
reduction
• Government : Provide timely access to decision support information, Cost reduction
• Retail : Need to mitigate current and emerging risk, Cost reduction
• Media & Entertainment : Evolving consumer behaviors, Costs reduction
• Healthcare : Accelerating Employers-Led Initiatives - New Consumers-centric Technologies - Costs
reduction
• Education & Research : Costs Reduction
• Transportation & Travel : Collecting and Sharing experiences - Costs reduction
• Energy : Increase refining capacity in traditional petroleum - Investments in the renewable energy sector,
Costs reduction
• Consumer Packaged Goods : New products development - Customers in control
November 2009 3

Business Intelligence
IT Drivers
Scalability Flexibility
Scale with increasing Open, modular infrastructure
processing workload
Supports growth and change
Data volume and throughput
demands of users
ECO
TCO/ROI Availability
Provide information to users
Investment protection when they need it
Security
Provide better protection from
internal and external threats
November 2009 4

Business Intelligence
Major ISVs
• Sun "Global Partner" for SAP • Sun “Partner Relationship” for
• Technical Collaboration SAP Oracle
Netweaver, SAP Enterprise Portal • Solaris 10 Open Source
• Collaboration Support Sun VIP environment for Oracle
Development
• Walldorf Competencies Center • Oracle Production Platform on Sun
• Applications Benchmarks • Collaboration Support Sun VIP
• Applications Benchmarks
November 2009 5

Business Intelligence
From Data To Information
• Analyze the various trades of the company to
improve the processes, to increase the
effectiveness and to reduce costs
• To detect the market trends, to understand
the behavior and to improve the client
relationship, to identify opportunities and to
increase competitiveness
November 2009 6

Business Intelligence
Architecture Overview
Data Data
Operational Warehouse Warehouse Data
Data Source Generation Management Analysis Portal Users
OLAP
Legal
Data Staging Enterprise Data Marts
Extract, Data Warehouse
Transform
& Load
Transactionnel Query &
Reporting
DWH
Management
External
Data Mining
Metadata
November 2009 7

Business Intelligence
Elements Qualifying
• Users
> Number of concurrents users by category low,
medium, high, user time range.
• Extraction, Transformation and Loading
> Data Volume : size, periodicity, frequency,
processing complexity (low, medium, high), Sizing Tool
aggregates building.
Technical Architecture
• Tools
> Request, OLAP Tools, Database, ETL, OS.
• Data volume
> Raw data, index, aggregates, axis, indicators,
data work, useable data
November 2009 8

Business Intelligence
Sizing Approach Operational Data Source Processing
complexity ETL
ETL Flow xx M B ETL Flow xx MB ETL time range
h1 - h2
xx GB
* DWH
SA
*
xx GB
%index, %metadata
%index
ETL Flow xx M B Processing
xx Go WORK Complexity ETL *
xx GB
TEMP, LOG...
DATA MARTS
Volume
d'agrégats à
xx M B reconstruire
%index, %aggregats, %axis
External Flow
Users time range
* Usable data, indexes, aggregats h1 – h2
and metadata included...
x Low users x Medium users x High users
November 2009 9

Business Intelligence Infrastructure
Value Proposition
TECHNOLOGIY / METHODOLOGY
A SAP production • Architecture based on projects experiences,
PERFORMANCE INDICATORS
•
A CUSTOMER REFERENCE
Response time
benchmarks (TPC-H, SAPS...) and reference
platform for 200 • Number of concurrent users
architectures
concurrent users • Data flow integration time
• Availability ratio • Architectures made to face changes and
Objective : Production SAP/BW functional evolutions
information system for decision- • Mean time to repair
making reporting . The solution should • • Alliances with SAP, ORACLE, SAS,
Number of applications modules
reduce the current maintenance costs. composing the solution Greenplum...
• Total Cost of Ownership • N1 Advanced Architecture for SAP
Solution: Production SAP/BI 7.0 (Landscapes SAP Provisoning)
Unicode environment, • Return On Investment
Oracle 10g, Solaris 10. Configuration : • SAP Netweaver BI Accelerator (Intel)
4 CPU AMD Opteron @2,6Ghz / 32
GB RAM / 480 GB of data. • Oracle RAC optimized on Sun platform
Customer benefit : A full x64 platform • Walldorf SAP skills center
with reduced acquisition and • SAP NetWeaver optimized on Sun
maintenance costs for 200 Power ECO
simultaneous users. • BrightHouse : Data Warehouse engine for very
Security
Flexibility large database
Availability • MySQL Database (Open Source)
• +2000 BI customers in the world
• Architecture Design Workshop • Sun VIP Support with SAP, Oracle, SAS
SERVICES
• Product Deployment Services • Sun Solution Center
• Sun Learning Services
• Sun Support Services
• Sun Global Financial Services Operation
November 2009 10

Sun & Oracle
Value Proposition
• Average response time • 25 years of visionary alignment
TECHNOLOGIY / METHODOLOGY
KEY PERFORMANCE INDICATORS
• Number of concurrent users • Oracle database: Partitioning, RAC
• Number of named users • Exadata – Sun Oracle Database Machine
> Full Rack for Enterprise Data
• Data loading time Warehousing
• Number I/O per second > 8 Sun Fire™ X4170 Oracle Database
• Availability ratio servers
> 14 Exadata Storage Servers
• Time to repair > 3 Sun Datacenter InfiniBand Switch 36
• Annual cost of support
• Oracle Optimized Warehouse for Sun
• Return On Investment > Pre-packaged, pre-configured, pre-
installed, calibrated & validated systems
> Sun SPARC Enterprise M5000 Server -
(8) Sun StorageTek 2540 arrays -
Solaris 10 - Oracle Database 11g
Enterprise Edition
ECO
Power
> Sun Fire x4500 server - Fully integrated
Security
server and storage - Solaris 10
Flexibility > Optimization from Cpu to Dsks
Availability • Sun VIP Support with Oracle
• Solaris Sparc and x86
• Validated infrastructure, scalability and choice
• Architecture Design Workshop > AMD, Intel and SPARC processors
SERVICES
• Product Deployment Services • Storage certified and tested with Oracle to
• Sun Learning Services help ensure optimal performance, high
• Sun Support Services availability and capacity
• Sun Global Financial Services Operation • Sun reference configuration with Oracle
• Sun Solution Center
November 2009 11

Sun & SAP
BI Accelerator Value Proposition
TECHNOLOGIY / METHODOLOGY
KEY PERFORMANCE INDICATORS
• Average response time • Scalable architecture has been optimizing for
• Number of concurrent users change and evolution of Business intelligence
systems
• Number of named users
• SAP NetWeaver BI Accelerator
• Data loading time
> Sun Blade 6000 - 10 Sun Blade X6250
• Number I/O per second server module with 2 CPU quad-core
• Availability ratio Intel Xeon
• Time to repair > O.S.: SuSE Linux Enterprise Server 10
• Annual cost of support SP1
• Return On Investment > Sun StorageTek 6140 Array with Sun
Oracle Cluster File System
> Switche QLogic SANbox 5600 Series 4
Gb Fiber Channel
> Increase performances requests x10 to
Power ECO x100 and 80% for data loading
> Data storage in colums rather than rows
Security
Flexibility • SAP Skill Center at Walldorf.
Availability • NetWeaver architecture optimised on Sun
• Sun VIP support with SAP
• Sun Solution Center
• Architecture Design Workshop
SERVICES
• Product Deployment Services
• Sun Learning Services
• Sun Support Services
• Sun Global Financial Services Operation
November 2009 12

Sun & Greenplum
DW Appliance Value Proposition
TECHNOLOGIY / METHODOLOGY
KEY PERFORMANCE INDICATORS
• Average response time • Data Warehouse Appliance powered by Sun
• Number of concurrent users and greenplum
• Data loading time • Open Source
• Number I/O per second > PostgreSQL
• Availability ratio > Solaris™10 Operating System
• Power Consumption > Solaris ZFS
• Time Data scan • Sun Fire™ x4540 servers with
• Annual cost of support 2 Dual-Core AMD Opteron processors
• Return On Investment • Sun Fire x4100 server (parallel optimizer
planner)
• 1 TB/minute Scan
• Scale to hundreds of terabytes
• Massively Parallel Processing
Power ECO
• MPP PostgreSQL
Flexibility
Security
• Parallel Loading 500GB/hour
• Modular Design
Availability
• 100 TB/rack (DW100 hardware)
• 9 KW/rack
• Global Support
• Architecture Design Workshop
SERVICES
• Sun Solution Center
• Product Deployment Services
• Sun Learning Services
• Sun Support Services
• Sun Global Financial Services Operation
November 2009 13

Sun & InfoBright
DW Engine Value Proposition
TECHNOLOGIY / METHODOLOGY
KEY PERFORMANCE INDICATORS
• Average response time • BrightHouse : Data Warehouse engine for
very large database
• Number of concurrent users
• Data loading time • High query performance for analysis across
terabytes of data
• Number I/O per second
• Average data compression of 10:1 (10TB of
• Availability ratio raw data can be stored at 1TB).
• Annual cost of support
• Low administration requirements
• Return On Investment
• Runs on low cost, commodity hardware
• Compatible with all major BI tools including
Cognos, Business Objects...
• For the reporting functionalities, we work with
Power ECO
the partners like JasperSoft and Actuate
Security
• MySQL Database (Open Source)
Flexibility
• ETL functionality, we work with Talend (Open
Availability
Source ETL)
• Sun Solution Center
• Architecture Design Workshop
SERVICES
• Product Deployment Services
• Sun Learning Services
• Sun Support Services
• Sun Global Financial Services Operation
November 2009 14

New Business Intelligence
Cloud Analytics
Compute Trend Data Trend
New Analytics Emerge Semi-structured Data
(MapReduce, Hadoop...) (Mogile, Bigtable, HDFS...)
Master/Slave
Object Store
Semi-structured
Architectural shift to the cloud
Database
and HPC-style workloads ScaleDB, Big Table,
SimpleDB HBase
Master/Master
Open source, general
purpose datawarehouse
Distributed FS Federated/
Proprietary, dedicated Sharded
datawarehouse
Unstructured Data Structured
Data
OLTP is the
datawarehouse
November 2009 15

Sun & Hadoop
Sun Value Proposition
Data processing in less • Mean processing time •
TECHNOLOGY / METHODOLOGY
CMT, AMD and INTEL Processors
KEY PERFORMANCE INDICATORS
CUSTOMER REFERENCE
• Volume of data used
than 36 hours • Multi OS : Linux, Solaris, Windows
• Volume of data transfer • Open Solaris
Objective : Archives Every newspaper • Number of requests
from 1851 to 1922. 405,000 very large • Sun Cloud Services (compute, storage)
TIFF images, 3.3 million articles in SGML • Number od Hadoop cluster nodes • Open Storage : Sun Storage 7000 Unified Storage
and 405,000 xml files -> converted to a • Return On Investment System
more web-friendly 810,000 PNG images
and 405,000 JavaScript files • Total Cost of Ownership • Sun Fire x4540 (Hybrid Server with 48TB)
Solution : Utilizes Amazon Web Services • Infratsructure SwaP ratio • Hadoop : Distributed applications with high density
(public cloud) and Hadoop (OpenSolaris) • Use rate of equipment environment of data
• Time to deploy a new service • OpenSolaris Configuration kit Live Hadopp
Customer Benefit : this client was able
to utilize hundreds of machines • Time to Market • HBase : Multi-dimensional database
concurrently and process all the data in
less than 36 hours. Efficiency • Hive : datawarehoing with Hadoop
exemplified. No captial expense for • Zookeeper for configuration management
equipment. Ability to deploy in hours not ECO
in months
Power
• Solaris Containers
Security • VMWare, Microsoft Virtual Server
Flexibility
• Sun xVM Infrastructure with Sun xVM Server
Availability ( LDom, Xen) and Sun xVM Ops Center
• Solaris Cluster
• Storage virtualization : Sun Virtual Tape Library,
Solaris ZFS
• Cloud Computing Workshop
SERVICES
• Sun Virtual Desktop Infrastructure Software
• Sun Cloud Services (compute, storage)
• Product Deployment Services • VirtualBox (Client virtualization)
• Sun Learning Services
• Sun Managed Services
• Sun Support Services
• Sun Global Financial Services Operation
November 2009 16

Merci !
Philippe Julio
Sun Microsystems France
philippe.julio@sun.com
philippe.julio@sun.com
http://blogs.sun.com/PhilippeJulio
November 2009 17