In this series of modules, you will use IBM InfoSphere FastTrack to create an application that identifies customers with high value to your business. You will. InfoSphere FastTrack provides capabilities to automate the workflow of your data integration project. Users can track and automate multiple. IBM InfoSphere FastTrack accelerates the design time to create source-to-target mappings and to automatically generate jobs. Mappings and jobs are then.
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First Midwest subsidiaries and the plan fashtrack how the data flows. You will experience how InfoSphere FastTrack increases the ease and efficiency by which you create mapping specifications. The data is in these tables: Because each of the acquired companies used different business terminology, the business analysts constantly revised existing term and definitions.
Faasttrack customers were neglected or not treated preferably at First Midwest. Modules in this tutorial Module 1: Creating reports These topics describe how to create reports that present data at the mapping specification level.
Move gold customer data appropriate for marketing such as name, address, and gender from the bankdemo. As First Midwest focused on acquisition activities, their competition pulled away several of their high-value customers. fastrrack
You can obtain additional data from columns for your mapping specification by using lookup tables. The messages listed in this section describe the errors, explain fastyrack they occurred, and suggests actions that address the messages.
By linking information in a shared metadata repository, data is accessible, current, and fasthrack across the data integration project. For this tutorial, you will follow a fictional scenario about the First Midwest company. Create mapping specifications that map data from the source to the target tables.
InfoSphere FastTrack information roadmap
You can drag tables or columns into the mapping editor and then associate more data, such as business terms or transformation operators, to the columns.
Infospere InfoSphere FastTrack fits in the suite architecture You can use InfoSphere FastTrack to track and automate efforts that span multiple data integration tasks from analysis to code generation, shortening the time from business requirements to solution implementation.
Now you must integrate the customer data from Bank 3. You use a simple user interface to complete business requirements, track work, and then translate the specifications directly into integration code for use by the InfoSphere Information Server data integration engine.
You can also create candidate columns and terms within specifications. These actions are reflected in Figure 1.
BANK 2 Holds checking and savings accounts. In this module, you perform a join, add source columns based on lookup operators, and define business rules before you extract the customer information. Working with mapping specifications. HTML Creating mapping specifications These topics describe how to create mapping specifications that consist of source-to-target mappings, and how to use imported InfoSphere DataStage shared containers as mapping components.
A financial fasttrackk recently acquired several companies. You can also use a discover function to find column matches and create relationships between columns.
The relationships are then published to the InfoSphere Information Server metadata services common repository so that they can be shared across development teams.
Message reference These topics describe warning and validation messages, explain why they occur, and recommend actions to take.
You can also manage projects and change your server password. InfoSphere FastTrack tasks You can use InfoSphere FastTrack to automate the workflow of data integration projects by maximizing team collaboration, facilitating automation, and ensuring that projects are completed successfully and on time. Reports You can create reports that you can distribute to authorized users.
Imported metadata is viewable by all suite users and can be used by all suite components.
Scenario for mapping data
Extract customer information from the BANK1 database In this module, you begin to consolidate relevant customer data into a table that follows the standard model of the company.
You also can generate reports that provide details about mapping specifications that you create as you create the application. HTML Creating reports Creating reports These topics describe how to create reports that present data at the mapping specification level. Jnfosphere reporting capabilities Provides information on column-level mappings, table-level mappings and lookups.
You can compose jobs that are parallel or sequential. The need for speed – accelerating data integration projects This white paper explains how InfoSphere FastTrack can help enterprises accelerate the deployment of data integration projects by simplifying and improving the communication process between the business analyst and the developer.
You can also export mapping specifications into Microsoft Excel spreadsheets and. You then use the data source to create source-to-target mappings.