|Kurskod||1I003SE||Leveranstyp||Web Based Training|
SEK 1 780,00 exkl moms
SEK 2 225,00 inkl moms
Note: This is a self-paced online course in which the Guided Tour Product Simulation requires no installations: Everything is through your IE 5.0+ browser. Please DO NOT make travel arrangements for this course. After you receive confirmation that you are registered, you will have 365 days to complete this course. To access the course, follow the instructions that are provided.
This browser-based product simulation lets you "learn-by-doing" in a case-study scenario in which you solve a 'real-life' business problem - no installations needed just a browser and a passion to learn.
By the end of this training you'll have a better understanding of this InfoSphere product's terminology, an overview of its architecture, and a better understanding of how it can be implemented.
You can learn more about the FlexLearning library:
USA IBM Training Registrar:
Phone: (978) 899-2188
Fax: (978) 899-2188
Before you enter the Guided Tour Product Simulation, this course will begin by defining Information Analyzer (IA), what types of business problems it solves and how it solves them. It will talk about the overall process of data discovery or understanding and where both this process and the product fit within development cycles. We'll then discuss the basic features/functionality of Information Analyzer.
After the concepts section, you'll enter into a Guided Tour Product Simulation section of the training. This section will walk you through the product modules, the client UIs, the new features, functionality, and facilities within Information Analyzer.
You'll see how to navigate through IA, use its UI, and perform the types of tasks that you will be called upon to do in the 'real world' with this data profiling tool.
Finally, we'll summarize what has been covered and go through a self-check quiz in which you can test some of the knowledge that you've gained.
You should have:
Introductory or very basic statistical knowledge is helpful.
No knowledge of data modeling or design is required.
No knowledge of DataStage, QualityStage, or IBM Information Server is needed.