• Save
Enterprise Mashup Infrastructure   Kapow Mashup Server
Upcoming SlideShare
Loading in...5
×

Like this? Share it with your network

Share

Enterprise Mashup Infrastructure Kapow Mashup Server

  • 9,135 views
Uploaded on

Describing the infrastructure around Enterprise Mashups as well as going through the different kinds of Enteprise Mashups being implemented today.

Describing the infrastructure around Enterprise Mashups as well as going through the different kinds of Enteprise Mashups being implemented today.

More in: Technology , Travel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
No Downloads

Views

Total Views
9,135
On Slideshare
8,938
From Embeds
197
Number of Embeds
8

Actions

Shares
Downloads
0
Comments
0
Likes
15

Embeds 197

http://www.digitalistic.com 173
http://www.slideshare.net 12
https://bbdevlmu.blackboard.com 4
http://pomoce.blogspot.com 3
http://connect.oraclecorp.com 2
http://feeds.feedburner.com 1
http://localhost 1
http://www.linkedin.com 1

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide

Transcript

  • 1. Enterprise Mashup Infrastructure Andreas Krohn Product Manager Kapow Technologies
  • 2. Agenda
    • What is a Mashup
    • The Business Value of Mashups
    • Mashup Infrastructure
    • Enterprise Mashup Examples
    • Demo
  • 3. Introduction
    • Why is Excel so popular inside Enterprises?
      • It allows the business users to look at data they way they want to
      • It give the business users the ability to build mini-applications as needed without support from central IT
    • Why is data integration and SOA so important inside Enterprises?
      • Sharing data between systems increases the overall value of that data
      • Together several systems can solve more problems than the systems can individually
    • Mashups combines and simplifies all this!
  • 4. Wikipedia
    • Mashup (or mash it up) is a Jamaican Creole term meaning to destroy.
    • Mashup (web application hybrid), a web application that combines data and/or functionality from more than one source
    • Mashup (music), a musical genre of songs that consist entirely of parts of other songs
    • Mashup (video), a video that is edited from more than one source to appear as one
    • Mashup , in parts of the UK means a mash or pot of tea (colloq. Yorkshire), other areas brew or stand tea
  • 5. Mashup: Web Application Hybrid
    • Combines content from several sources via services
      • Focus on services not software
      • Often a Mashup is built without support from the providers of the services
      • The Web as a Plattform
    • Most mashups on the web today are simple
      • A website + Google Maps
    • Enterprise mashups
      • Intranet apps + Internet sites + …
    • You are already using Mashups!
      • Excel spreadsheets
      • Ad-hoc reporting
      • Data Migration
      • Content Aggregation
      • Management Dashboards
  • 6. Data: The Emerging Productivity Driver Transformational Tasks (20%) Transactional Tasks (40%) Tacit-Oriented Tasks (40%) Individualized Collaborative Structured Unstructured Task-Intensive Data-Intensive IT-Controlled Do-it-Yourself Productivity Potential Low High
  • 7. Mashups: The Next IT Productivity Wave
    • Huge untapped productivity potential in knowledge workers
    • Strategic corporate data not being used effectively
      • Application controls & restricts data generation and flow
      • Central IT only supports key business processes, not ad-hoc information resources
    • There is a need for lightweight access to corporate data
      • The right data, to the right people, at the right time
      • Logical extension of SOA investment to the web tier
  • 8. The Long Tail of Projects Using traditional approaches just the most important projects can be implemented With Mashups the long tail of projects can be implemented # Users # Projects
  • 9. Enterprise Mashup Infrastructure
    • Enable Enterprise Mashups
      • Enterprise – up time, maintainance, security, load balancing etc
    • Leverage existing infrastructure
      • Existing databases, servers etc
      • Fit into existing choice of technology
    • Extend existing infrastructure
      • Complementing SOA
      • Improved access to existing data sources (web sites for example)
    • Major components
      • Mashup Builders
      • Mashup Enablers
  • 10. Mashup Builders
    • Produce the user interface of a Mashup
    • Today this is mostly done by programming
      • Java, C#, Ruby on Rails. etc
    • The trend is towards doing this by assembling
      • Mashups by non-developers
      • Connecting widgets to create composite applications
    • Examples
      • Excel
      • BEA AquaLogic Pages
      • IBM QEDWiki
      • Yahoo! Pipes
    • Need access to data!
  • 11. So, Where Is The Data? Web Based Content & Data MS Office Doc’s, PDF, email RDMS, Flat files Examples Web Based (Unstructured) File system (Unstructured) Database (Structured) Page Views Document Retrieval SQL Queries Data Access Method Full Page Document Level Only Data Element Access Granularity High Med Low Knowledge Worker Productivity Potential No Proprietary Yes Programmatic API’s Exploding Exploding Modest Growth Trend 80%-85% of data 15%-20% of data Enterprise Scope
  • 12. Access the Data: Mashup Enablers
    • Access the unstructured data
    • Webscraping – access all internal and external websites
      • Use HTML as an API!
    • Serve functionality to Mashup Builders
      • REST, RSS, Atom etc
    • Makes internal and external resources available
    • Examples:
      • Kapow Mashup Server
      • Openkapow
      • Feed43
  • 13. Inside a Mashup Mashup Mashup Builder REST Mashup Enabler Atom RSS API Web Scraping HTML AJAX API SQL Users Data Sources RPC JMS API WS* WS* DB Web Apps SQL WS* Widget Widget Widget
  • 14.
    • Enabling Mashups by giving access to unstructured web data
      • Handles unstructured HTML
      • Handles JavaScript
      • Handles cookies, sessions, authentication, HTTPs etc
    • Making data & functionality from HTML available as needed
      • REST Service, RSS/Atom feed, Java API, C# API, Portlets, SOAP WS, Written to a database etc
    • Automating what a person can do in a browser = Robot
    • 250+ customers
      • Audi, Bank of America, Simply Hired etc
    • Openkapow.com
      • Free Mashup Community
      • Build robots and share with the Community
      • Create REST services and RSS/Atom feeds from web sites
    Kapow Mashup Server
  • 15.
    • Access the functionality of a web app without an API
      • Handles multi-page navigation
      • Does it with great stability and robustness
    • Create RSS/Atom feeds, REST services from almost any web site.
    • Advanced JavaScript handling and execution.
    • Handles logins to protected sites using cookies, HTTP & form authentication, HTTPs.
    • Very powerful data extraction and HTML interaction using regular expressions, converters and patterns.
    • Flexible error handling and debugging.
    • Graphical point-and-click development environment with 1-click deployment.
    • Full control over the process flow in a robot, including conditions and loops
    Highlighted Features
  • 16. Types of Enterprise Mashups
    • Opportunistic Applications
      • Situational Applications
      • Mashups-on-the-fly
    • Repurposing
      • Portal Enablement
      • Mobilising Applications
    • Web Automation
      • Content Migration
      • Swivel-chair automation
    • Data Collection
      • Competative Intelligence
      • Reputation Management
  • 17. Opportunistic Applications
    • Addressing the Long Tail
    • Allowing individuals, small groups or departments to build there on applications
    • Solving small problems not worth the investment from central IT
    • Taken together these small apps increase productivity
    • Short lifespan
      • Throw-away apps
    • Apps owned by business users, infrastructure owned by central IT
      • Self-Service IT
  • 18. Opportunistic Applications: Audi
    • Many integration problems
    • Built a platform to be able to quickly solve new problems
    • Applications driven by the Business Side
    • Central IT provides the infrastructure
    • Using Kapow Mashup Server to provide lightweight SOA enablement (among other things)
    • Aggregate content and services from internal and external sources
  • 19. Repurposing
    • Taking existing applications and repurposing them for different platforms and/or use cases
    • No need to change the code in the existing applications
      • Avoid costly implementation projects
      • Avoid risking new security issues
    • Interact with existing applications via Mashup Enablers & Existing Infrastructure
      • Service enable
      • Portlet generation for Enterprise Portals
    • Common use cases
      • Portal enablement
      • Mobilization
  • 20. Repurposing: Deutsche Post World Net
    • 20+ business units, each with it’s own unique portal
      • DHL
      • Mailingfactory
      • eFiliale
      • etc
    • New Deutsche Post portal with features from all business units
      • Mydeutschepost.de
    • Built by repurposing the existing portals
      • Take the features from each portal as needed
      • Package it into one united portal
      • The original portals are still up and running
  • 21. Web Automation
    • Automate jobs that a person could perform
      • Improved efficiency
      • Improved quality
      • Improved reliability
    • Common use cases
      • Automated Content Migration (as oppose to ”bio-migration”)
      • Swivel chair automation
  • 22. Web Automation: GMX
    • GMX.net
      • Major hosting company, 1&1 hosting
      • Free Email provider
    • Automating integration with other online email providers
      • Via the web interface check email
      • Synchronize address books
      • etc
  • 23. Data Collection
    • Collect and structure large amounts of unstructured data
    • Data sources both on internet and intranet
    • Add value by adding custom analyzis or visualizastion to the data
    • Common use cases:
      • Competative Intelligence
      • Information Syndication
      • Reputation Management
  • 24. Data Collection: Simply Hired
    • Job search engine
    • Collects jobs from other job sites (Monster.com) as well as from individual companies pages
    • No need for the job sites to provide an API, all data collected via web pages
    • Set industry record
      • Collected 1 million job profiles in 3 months
      • 5 million job profiles in 2 years
    • Provide job search both on SimplyHired.com and on 3rd party sites
      • LinkedIn
      • MySpace
  • 25. Demo Scenario – Competitive Intelligence Web Based Pricing Data
  • 26. Questions? www.kapowtech.com www.openkapow.com More information at the Kapow Technologies booth