® IBM India Research Lab © 2006 IBM Corporation Challenges in Building a Strategic Information Integration Infrastructure Mukesh Mohania IBM India Research Lab

2 The Integration Challenge  Complex and heterogeneous environments  Many different types of systems  Many inter-related applications  Escalating needs  Variety, velocity, volume  People are expensive The world produces 250MB of information every year for every man, woman and child on earth.

IBM India Research Lab 3 Sources: IBM & Industry Studies, Customer Interviews, Forrester The Challenge Continued… 40% of IT budgets may be spent on integration. 30% of people’s time: searching for relevant information. The average billion dollar company: 48 disparate financial systems 42% of transactions are still paper-based. 85% of information is unstructured. Trx. Documents Reports s Media Customers Employees Partners Databases Orgs. Financials Products Web Content Web Content 79% of companies have more than two repositories and 25% have more than 15 60% + of CEOs: Need to do a better job capturing and understanding information rapidly in order to make swift business decisions. Only 1/3rd of CFOs believe that the information is easy to use, tailored, cost effective or integrated % of application design time is spent on copy management.

IBM India Research Lab 4 Taikang Life Insurance Business Challenge Technical Challenge  4 th largest Chinese insurance company  8,000 employees, 150,000 agents  3.5 million customers  28 branches, 170 sub-branches  Data in DB2 UDB, Informix, Oracle, SQL Server, XML, , CRM and Portal applications  Goals:  Up-to-the-minute status for executives  Increased employee productivity  Better customer service Background

IBM India Research Lab 5 Taikang Integrated Information Platform Architecture PhoneFaxSMS Web Store Front MailAgents Financial Planner Core Systems Information Integration Platform Application Platform Channels Group & Banking CSC Personal Life Financials InformixDB2/400Oracle Mapping (nicknames) Integrated Information Data Service ODS cache XMLSQLWeb Services

IBM India Research Lab 6 Challenges in Integrating Information  Structured and unstructured data  Diversity of data sources (content repos, pricing application, databases, …)  Coming up with the model of how information fits together  Understanding what info exists  Finding related pieces  Creating a common format  Deciding how to access and transform data  What should be materialized, what accessed in real-time, how maintained  What pre-defined paths, what unplanned (navigation vs. search)  Configuring the appropriate software  Accessing information in the application  Monitoring the system and understanding usage, problems, etc

IBM India Research Lab 7 Another perspective ---

IBM India Research Lab 8  Virtual, collaborative organizations sharing apps, data in open heterogeneous environment.  A potentially vast aggregation of geographically dispersed computing resources  Leverages Intranet, Extranet, and Internet implementations  Lower TCO (Total Cost of Ownership) Virtual Servers, Storage and Instruments Grid Middleware Distributed Physical Servers and Storage Virtualization: Grid Computing

IBM India Research Lab 9 Data Virtualization for Information on the Grid  A Grid should allow information to be:  Virtualized over Heterogeneous, Distributed Data Sources  location & heterogeneity transparency  Accessed via Open Protocols  Autonomically administered  Dynamic  Putting information on the Grid enables:  Access to any data resource in a standard way  Viewing a collection of data resources as a single integrated entity  Placing data so as to exploit available processing/storage for performance and scale Lower TCO

IBM India Research Lab 10 Distributed Data Management and Grid Computing Collaboration & data sharing Federation Consolidation Information Dissemination Performance & Scalability Replication Caching Parallelism Reduced Cost Autonomic Mixed Workload Mgmt Business Resiliency Replication Fast Backup & Recovery Enhance Current Technologies Dynamic & Autonomic Static & Manual At Lower TCO (Total Cost of Ownership) Tasks RequiredTechnologies

IBM India Research Lab 11 Data Virtualization: Grid Middleware for Integration & QoX Middleware masks dynamic nature of data sources, compute resources

IBM India Research Lab 12 Distributed Data Management & Grid Computing Monolithic Application Architectures Services Oriented Architectures Query Distributed Query Federated Query MPP Parallelism SMP Parallelism Transaction Parallelism Federation Open Standards Parallelism OGSA, Web Services Transparent, Optimized, Integrated Access to Heterogeneous Data at Lower TCO Discover & Leverage Resources System Information Data Movement OGSA Data Replication FTP, ETML Data Placement for QoS Information Dissemination Data Driven Application Parallelism Dynamic Federation