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Building 360-degree Information Applications

Book Description

Today's businesses, applications, social media, and online transactions generate more data than ever before. This data can be explored and analyzed to provide tremendous business value. IBM® InfoSphere® Data Explorer (Data Explorer) enables organizations to simultaneously explore and derive insights from enterprise data that was traditionally stored in "silos" in enterprise applications, different data repositories, and in different data formats.

Applications developed using Data Explorer identify data relationships across these silos, unlocking the business value that is inherent in a unified, 360-degree view of the information related to business entities, such as application users, customers, products, and so on.

This IBM Redbooks® publication provides information about InfoSphere Data Explorer 9.0. It gives an overview, describes the architecture, and presents use cases that you can use to accomplish the following tasks:

  • Understand the core capabilities of Data Explorer Engine and Data Explorer Application Builder.

  • Realize the full potential of Data Explorer applications.

  • Describe the integration and value of the combination of Data Explorer and InfoSphere Master Data Management.

  • Build a 360-degree information application.

  • Learn by example by following a hands-on lab scenario.
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  • Table of Contents

    1. Front cover
    2. Notices
      1. Trademarks
    3. Preface
      1. Authors
      2. Now you can become a published author, too!
      3. Comments welcome
      4. Stay connected to IBM Redbooks
    4. Chapter 1. Introduction to 360-degree information applications
      1. 1.1 Defining a 360-degree information application
      2. 1.2 Business value delivered through 360-degree information applications
      3. 1.3 Benefits of 360-degree information applications
      4. 1.4 Introduction to IBM InfoSphere Data Explorer
      5. 1.5 Introduction to master data management
        1. 1.5.1 What is master data management?
        2. 1.5.2 Integration between InfoSphere MDM and Data Explorer
    5. Chapter 2. InfoSphere Data Explorer overview
      1. 2.1 Introduction
      2. 2.2 Data Explorer architecture
        1. 2.2.1 Connectors and crawling
        2. 2.2.2 Converting and augmenting data for indexing
        3. 2.2.3 Indexing data
        4. 2.2.4 Capitalizing on existing search applications through query routing
        5. 2.2.5 Querying repositories and displaying search results
      3. 2.3 Security in Data Explorer Engine applications
      4. 2.4 Overview of the Data Explorer Engine administration tool
      5. 2.5 Data Explorer Engine requirements
        1. 2.5.1 Data Explorer Engine server requirements
        2. 2.5.2 Data Explorer Engine client requirements
      6. 2.6 Application Builder architecture
        1. 2.6.1 Modeling data and data relationships using entities
        2. 2.6.2 Displaying information using pages and widgets
        3. 2.6.3 Overview of the Application Builder administration tool
        4. 2.6.4 Scaling and availability for enterprise applications
      7. 2.7 Application Builder system requirements
        1. 2.7.1 Application Builder server requirements
        2. 2.7.2 Application Builder client requirements
    6. Chapter 3. Planning a 360-degree information application
      1. 3.1 Identifying use cases and users
      2. 3.2 Identifying data sources
      3. 3.3 Modeling entity relationships
        1. 3.3.1 Matching entities with non-identical fields
      4. 3.4 Planning for deployment and implementation
        1. 3.4.1 Example hardware architecture
        2. 3.4.2 Scalability
    7. Chapter 4. Lab scenario overview
      1. 4.1 Key business challenge
      2. 4.2 Identifying use cases and users
      3. 4.3 Identifying the data sources
      4. 4.4 Modeling entity relationships
    8. Chapter 5. Installation and initial configuration
    9. Chapter 6. Preparing the data for Data Explorer Application Builder
      1. 6.1 Creating the search collections
      2. 6.2 Configuring the search collections and crawling the data
        1. 6.2.1 Configuring collection seeds
        2. 6.2.2 Testing the crawling and conversion processes
        3. 6.2.3 Adding a converter
        4. 6.2.4 Final search collection configuration
        5. 6.2.5 Crawling the data
      3. 6.3 Optional: Scheduling a refresh
    10. Chapter 7. Creating an application with Application Builder
      1. 7.1 Defining entities
        1. 7.1.1 Login
        2. 7.1.2 Connect Engine
        3. 7.1.3 Create an entity
        4. 7.1.4 View entities
      2. 7.2 Enhancing an entity page
        1. 7.2.1 Enhancing an entity information widget
        2. 7.2.2 Add an order-detail entity
        3. 7.2.3 Associate products with order details
        4. 7.2.4 Formatting order details
        5. 7.2.5 Sorting orders by ship date
        6. 7.2.6 Creating a chart widget for top purchases
      3. 7.3 Searching Entities
        1. 7.3.1 Making an entity searchable
        2. 7.3.2 Enhancing your search display
        3. 7.3.3 Adding a search refinement
      4. 7.4 Conclusion
    11. Chapter 8. Integration with IBM InfoSphere Master Data Management
      1. 8.1 Government
        1. 8.1.1 Citizen Services
        2. 8.1.2 Law enforcement
      2. 8.2 Financial services
        1. 8.2.1 Banking
        2. 8.2.2 Insurance
      3. 8.3 Healthcare
      4. 8.4 Retail
        1. 8.4.1 Customer domain
        2. 8.4.2 Product domain
    12. Appendix A. Additional material
      1. Locating the web material
      2. Using the web material
    13. Related publications
      1. Online resources
      2. Help from IBM
    14. Back cover