Web2.0 - Mashing The Enterprise Up

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Description of the main technical requirements for enterprise mashups. Given at Web 2.0 Expo's Web2Open conference, April 24th, 2008.

Description of the main technical requirements for enterprise mashups. Given at Web 2.0 Expo's Web2Open conference, April 24th, 2008.

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  • 1. Mashing the Enterprise Up Requirements for Enterprise Mashups April 24th 2008 Justo Hidalgo VP Technology [email_address] Web2Open
  • 2. Agenda
    • Background
    • Web mashups and Enterprise Data Mashups
    • Requirement areas
    • Further thoughts
  • 3. Background
    • Justo N. Hidalgo
    • VP Technology Denodo Technologies, Palo Alto
    • Ph.D. Computer Science in Query Optimization in Mediators of Web Sources
    • Product (Denodo Platform 4.1)
    • Enterprise Data Mashups & Web Automation
      • Data Integration of Structured, Web and Unstructured Information
    • Technology Focus: Data Integration, Web 2.0 & Mashup Enabler
    • Targeted Solutions: Intelligence, Single View, Web Automation
    • Tenths of projects in the last 12 months to learn from
  • 4. Web Mashups vs. Data Mashups
    • Web Mashups
    • Visual centric
    • Data relationships are simple
    • End-user driven enabled by APIs / tools
    • No QoS guarantees – as is
    • Simple Web security
    • Data Mashups
    • Data & Information centric
    • Deep transformations & semantic relationships
    • Interact with Enterprise ecosystem
    • Business analyst driven w/ user control options
    • Enterprise QoS- Query Optimization, Reliable, Failover, etc.
    • Policy-based security
    ENTERPRISE ECOSYSTEM Enterprise Infrastructure / Web Platform Enterprise & Web Applications RIA, Social Software, GUI, Portals
  • 5. Mutual Benefits Web Mashups Data Mashups Enterprise Data Integration BPM ESB EAI ETL Data Warehouses Enterprise Infrastructure / Web Platform Enterprise & Web Applications RIA, Social Software, GUI, Portals ENTERPRISE ECOSYSTEM WEB MASHUPS DATA MASHUPS User experience / global access Enterprise-class features ?
  • 6. Customer Uses of Enterprise Data Mashups 1. Aggregate Data 3. Exchange Data Enterprise Suppliers Customers 2. Enrich Data Apps Data Services
  • 7. Requirement Areas: Mashups for Business Users / For Power Users and IT
    • User experience
    • Heterogeneous granularity for different levels
  • 8. Requirement Areas: Enterprise-class features…
    • Security
      • LDAP access, user and role permission levels,
      • But also: Secure VPNs, secure communications, encryption
      • EXAMPLE: Financial Aggregation
    • HA/Scalability
      • Load balancing
      • Federated and distributed architectures
      • EXAMPLE: TELE-2/Vodafone Call Center
    • Performance
      • Asynchronous access
      • Parallelism
      • Execution Plan Optimization techniques
  • 9. Requirement Areas: …Enterprise-class features
    • Data Transformations
      • Biopharma example: contextual summaries, patterns and regular expressions
      • LinkedForce example: textual similarity
    • Maintenance
      • Sources change… specially Web Sites!!!
    • Data Management… don´t get me started 
      • What are the boundaries between mashups and MDM, Data Quality tools?
  • 10. Requirement Areas: Ecosystem SOURCES: WEB, PACKAGED APPS, MAINFRAME, … DATA QUALITY, METADATA, STANDARDS REST, SOAP, MQSERIES, ESB, JDBC, JSR-168
  • 11. Further thoughts
    • Need for a real enterprise mashup architecture
      • Where IT and business are actually involved
    • “ Semantic mashups”:
      • Automatic schema matching
      • Automatic Browsing and Information Structuring
  • 12. Q&A Justo Hidalgo VP Technology [email_address]