This course is designed to introduce students to advanced parallel job data processing techniques in InfoSphere DataStage v11.5. In this course students will develop data techniques for processing different types of complex data resources including relational data, unstructured data (Excel spreadsheets), and XML data. In addition, students will learn advanced techniques for processing data, including techniques for masking data and techniques for validating data using data rules. Finally, students will learn techniques for updating data in a star schema data warehouse using the DataStage SCD (Slowly Changing Dimensions) stage. Even if students are not working with all of these specific types of data, they will benefit from this course by learning advanced DataStage job design techniques, techniques that go beyond those utilized in the DataStage Essentials course.
IBM Information Management Courses
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KM510G – IBM InfoSphere Information Server Administrative Tasks
This course gets those charged with administering InfoSphere Information Server v11.5 and its suite of many products and components started with the basic administrative tasks necessary to support Information Server users and developers.
The course begins with a functional overview of Information Server and the products and components that support these functions. Then it focuses on the basic administrative tasks an Information Server administrator will need to perform including user management, session management, and reporting management tasks. The course covers both the use of Information Server administrative clients such as the Administration Console and Metadata Asset Manager and the use of command line tools such as istool and encrypt.
KM520G – IBM InfoSphere DataStage engine Administration for Information Server
This course teaches Information Server and/or DataStage administrators to configure, manage, and monitor the DataStage Engine which plays a crucial role in Information Server. It not only runs high performance parallel ETL jobs designed and built in DataStage. It also supports other Information Server products including Information Analyzer, QualityStage, and Data Click. After introducing DataStage parallel jobs and the Engine that runs them, the course describes DataStage project configuration, the Engine’s development and runtime environments, and the Engine’s data source connectivity. In addition the course explains how to import and export DataStage objects, how to run and monitor DataStage jobs through the command line and GUI, and how to use some important Engine utilities.
KM618G – IBM Stewardship Center for Information Server v11.5
IBM Stewardship Center for Information Server v11.5 provides event notification with workflow and remediation. Business users can be notified and respond to Information Server events, when they occur. These events include data quality exceptions occurring in Information Server products such as DataStage and Information Analyzer. These events also include catalog edits to governance categories and terms occurring within the Information Governance Catalog.
KM632G – IBM InfoSphere Fasttrack Essentials V9.1
This course is designed to teach IBM InfoSphere Fasttrack fundamentals both in concepts and hands on. The course is updated to Information Server V9.1. This course enables you to acquire the skills necessary to create mapping specifications in FastTrack and generate DataStage jobs from them.
KM650G – New Features in IBM InfoSphere Data Integration and Governance
This course is designed to introduce students to new features in data integration and governance in IBM InfoSphere Information Server V11.3 and IBM InfoSphere MDM V11.3. Each unit in the course covers a separate product or component of IBM InfoSphere Information Server V11.3 and IBM InfoSphere MDM V11.3. Each unit is independent of other units and one or more units can be taught in any order.
- Instructor Led Online
KM803G – IBM Information Analyzer Essentials
In this course, students will learn how to use the IBM InfoSphere suite to analyze data and report results to business users. Information discovered during analysis will be used to construct data rules. This course will also explore techniques for delivering data analysis results to ETL developers and demonstrate how to develop more meaningful meta data to reflect data discovery results. An information analysis methodology and a case study will be used to guide exercises.
ZZ520G – Using InfoSphere MDM Collaborative Edition
This course is designed to provide not only the essentials of understanding Master Data Management (MDM) and Product Information Management (PIM) concepts but also cover a breadth of InfoSphere MDM Collaborative Edition feature functions. Students will explore how to use the newly designed web interface to easily create data objects, items, categories, and other artifacts that will create the master data solution. To round out the course, students will be engaged in an optional hands-on case study whereby they can apply your newly gained knowledge to plan, design and build an MDM Collaborative Edition solution.
ZZ540G – Programming with InfoSphere MDM Collaborative Edition
This course teaches students how to setup their environment and begins programming with MDM CE. Using IBM’s Implementation Methodology Approach (use cases), students will have first-hand experience building a solution that incorporates the functionality of the MDM CE product, along with best practices for programming with MDM CE.