1. Data-Oriented B2B Application Integration Chapter 2 Sungchul Hong

2. Data-Oriented B2B Application Integration Data-oriented B2B application integration allows for data to be moved between data stores. Data share among data stores with trading partners. Complex database technology Updating database and integrity issues. Complex and complicated mosaic of various database technologies Data compatibility, and semantics

3. Data Access End-run around application logic and user interfaces to extract or load data directly into the database. Access and move information between databases –Oracle & Sybase Decouple the database from the application and interface. Tightly coupled with the application logic. Simplicity and speed-to-market advantages (business logic)

4. Coupling v.s. Cohesion Coupling –Binding of applications together in such a way that they are dependent on each other, sharing methods, interfaces, and data. –Common business process reusability, distributed objects Cohesion –The act or state of sticking together. –Logical agreement –Applications and databases cohesively integrated are independent from one another. –flexibility

5. XML and Data-Movement Standards for data-movement and repository A unified look at data that trading partners need. Provides context and meaning to data Introduce and define a new type of document. Meta data can represent abstract concepts Encode existing metadata standard

6. Example An inventory control system uses –PowerBuilder –Oracle –ERP with Informix relational database –Data-movement requirement is light Changing ERP is not an option (supplier will not agree on it) Solution: Data-oriented B2B integration and the Internet

7. Example Move data from the Oracle to Informix –Understand the metadata for each database (09/17/62)(Linthicum)(Dave)  (Semptember 17, 1962)(David Linthicum) –Sale  create event  Supplier’s ERP –Frequency of data-movement –Method of moving data Database replication software, message broker, utility Database replication and integration solution Oracle  middle-tier (extract, reformatted, updated)  Informix Application logic is bypassed

8. Data-Oriented B2B Application Integration Database-to-database B2B application integration Federated database B2B application integration.

9. Database-to-Database B2B Application Integration Allows us to share information at the database level. One-to-one, one-to-many, many-to-many connections Database middleware & database replication software Message broker Basic replication solution –Maintain basic schema information Replication and transformation

10. Advantages &Disadvantages Simplicity Dealing with application information at the data level. Too many applications that bind the application logic to the data.  need to change application interface. –SAP R/3 updates the database using its interface.

11. Federated Database B2B Application Integration It works at the database level. Creates a single virtual database model that allows developers to use various brands, models, and schemas to access any number of databases. The virtual database is mapped to any number of connected physical databases.

12. Advantages & Disadvantages It relies on middleware to share information between applications. Middleware hides the differences in the integrated databases from the other applications. It’s not true integration. It is difficult to create common schema.

13. Data Source Most databases today use the relational database model. However there are other types of databases. –Legacy system. –IDMS, IMS, VSAM, ISAM, COBOL files When dealing with different databases, we must understand –Data model –Nature of the database

14. Relational Data Model Dominant database Use database as –Storage mechanism –Location for application processing. Relatively small risk. Oracle, Sybase, and Informix

15. Object-Oriented Data Model Fail to substitute relational model Relational models extend to object-oriented model. OODB model is a better fit for certain applications, including XML. It can handle complicated mission critical data or binary data. Contains both data and methods.

16. Multidimensional Data Model It supports online analytical processing (OLAP) or data mining. Data warehousing Huge capacity. Cube model –Cube contains all the possible intersections –Slicing and dicing

17. Other Data Storage Models Indexed Sequential Access Method(ISAM) Virtual sequential Access Method (VSAM) Conference on Data Systems Language (CODASYL) (a standard) Adabas (Adaptable Database) –Supports various database models in a single database.