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Silicon Valley Code Camp
- 1. Enterprise Mashups Kishore Subramanian JackBe (http://www.jackbe.com/dev)
- 2. Agenda • The Case for Mashups • Mash ! • Build real-world Enterprise Mashups
- 3. What is a Mashup? • Lightweight Web application that combines data from multiple sources • Self-Service/End User focused • Situational • Minutes and Hours, NOT Days/Months • Quick, Agile • Reusable
- 4. Types of Mashups • Client-side • Most Enterprise Portals • View related info
- 5. Data Mashups • Server + Client • Merge, Join data from multiple sources • Eg: Accounts from Salesforce + Issues from JIRA • Transform data to a different format • Eg: Excel Spreadsheet data to RSS • Annotate • Eg: Enrich Accounts information from Salesforce with internal data • Filter, Sort
- 6. The Case for Mashups • Information is in Silos • Internal Databases, ERP, CRM, Document Management, Email, Wikis, Cloud • But ... users need data from multiple Systems to complete their Task • And ... integration is hard and time- consuming (hmm .. until now :-))
- 7. The Case for Mashups • Data is available but not easily accessible • Data in Spreadsheets on desktops • Data from CRM/ERP (WSDL/SOAP) • Data is available but user wants it in a specific UI - eg: Wiki/Blog/Excel • User wants to quickly share the data with others
- 8. The Case for Mashups • New Functionality from existing data • Join data from related sources • Append related information • Light-weight Integration • Quick, Agile • Hours/Days, NOT Weeks/Months • Specific Variants of a more generic Service
- 9. The New Front-tier Introducing the Mashup Layer
- 10. The New Front-tier Introducing the Mashup Layer Web 1.0 Web 2.0
- 11. Connect Users to Data Mashup Shareable Services Secure Governed Shared
- 12. The Mashup Process • Create “mashables” from typical data sources • WSDL,Database,Excel,REST, RSS, POJO,XML • Mash ! • Share data
- 13. Mashables • Make Data sources Mashable by publishing • Normalized Service • Uniform Service Access • Schema • Managed • Governed • Alter Service Characteristics like Caching, Pagination
- 14. Lets Mash ! • Steps • Publish Data Source as “Mashable” • Mash! • Publish your Mashup • Consume • Demo: Combine RSS Feeds from different sources to create a new Mashup
- 15. EMML • Enterprise Mashup Markup Language • Domain Language for creating Mashup Services • Declarative, XML-based • Open
- 16. Lets Mash - SOAP • Use Case • Get Accounts From Salesforce • Annotate Accounts with Internal Data • Transform data to simpler form
- 17. Steps - IT Developer • Publish salesforce.wsdl as a Service • Normalize SalesforceLogin • Normalize SalesforceQuery • Implement AccountSearch Mashup • Publish the Mashup • Test
- 18. Steps - End User • Create a Mashlet • Embed • Share !
- 19. EMML Highlights • Invoke Services • Invoke POJO’s • Join, Group • Filter, Sort • Merge, Split • Data Annotation • Scripting - Javascript, XQuery, JRuby, POJO • Web clipping
- 20. EMML - Other features GroupBy Embedded SQL Macros If Else statement For each Parallel OnError / OnTimeout Assign template variable
- 21. User-generated Mashup Demo: Create a Mashup using Wires to return the Stock and Profit/Loss Information about my Portfolio
- 22. User-generated Mashup • Created new Functionality that was previously not possible • Consumed WSDL Service without writing code (non-programmer) • Mashed custom data with publicly available data to add valuable insights • Easily Accessible (RSS) - Any RSS Reader • “Connected the End User to the Data”
- 23. Macros • Reuse • Building Blocks for Services • Hide complex logic from end users • Examples • RSS Data Transformation • Geo Annotator • Extract Value
- 24. Shareables Mashlets REST / RSS Excel Spreadsheet Email (URL or snapshot)
- 25. Demo • Salesforce Accounts using a REST URL • XML and JSON output • Salesforce Leads using RSS
- 26. Mashlet Platform • Mashlet API to create custom Mashlets • Save Mashlets in Presto • Governed Access to Mashlets • Open
- 27. Demo • Salesforce Accounts Mashlet • Embed