Enterprise Mashups
Kishore Subramanian
JackBe
(http://www.jackbe.com/dev)

Agenda
• The Case for Mashups
• Mash !
• Build real-world Enterprise Mashups

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

Types of Mashups
• Client-side
• Most Enterprise Portals
• View related info

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

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 :-))

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

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

The New Front-tier
Introducing the Mashup Layer

The New Front-tier
Introducing the Mashup Layer
Web 1.0 Web 2.0

Connect Users to Data
Mashup
Shareable
Services
Secure
Governed
Shared

The Mashup Process
• Create “mashables” from typical data sources
• WSDL,Database,Excel,REST, RSS, POJO,XML
• Mash !
• Share data

Mashables
• Make Data sources Mashable by publishing
• Normalized Service
• Uniform Service Access
• Schema
• Managed
• Governed
• Alter Service Characteristics like Caching,
Pagination

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

EMML
• Enterprise Mashup Markup Language
• Domain Language for creating Mashup
Services
• Declarative, XML-based
• Open

Lets Mash - SOAP
• Use Case
• Get Accounts From Salesforce
• Annotate Accounts with Internal Data
• Transform data to simpler form

Steps - IT Developer
• Publish salesforce.wsdl as a Service
• Normalize SalesforceLogin
• Normalize SalesforceQuery
• Implement AccountSearch Mashup
• Publish the Mashup
• Test

Steps - End User
• Create a Mashlet
• Embed
• Share !

EMML Highlights
• Invoke Services
• Invoke POJO’s
• Join, Group
• Filter, Sort
• Merge, Split
• Data Annotation
• Scripting - Javascript, XQuery, JRuby, POJO
• Web clipping

EMML - Other features
GroupBy
Embedded SQL
Macros
If Else statement
For each
Parallel
OnError / OnTimeout
Assign
template
variable

User-generated Mashup
Demo: Create a Mashup using Wires to return the
Stock and Profit/Loss Information about my Portfolio

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”

Macros
• Reuse
• Building Blocks for Services
• Hide complex logic from end users
• Examples
• RSS Data Transformation
• Geo Annotator
• Extract Value

Shareables
Mashlets
REST / RSS
Excel Spreadsheet
Email (URL or snapshot)

Demo
• Salesforce Accounts using a REST URL
• XML and JSON output
• Salesforce Leads using RSS

Mashlet Platform
• Mashlet API to create custom Mashlets
• Save Mashlets in Presto
• Governed Access to Mashlets
• Open

Demo
• Salesforce Accounts Mashlet
• Embed

Thank You !
http://www.jackbe.com/dev