|Kurskode||1I012NO||Leveringsform||Web Based Training|
NOK 1 400,00 u. moms
NOK 1 400,00 m. 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, just follow the instructions to access the course.
This browser-based product simulation let's 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.
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Before you enter the Guided Tour Product Simulation, we'll begin this tutorial by talking about the Rules' analysis capability. We'll discuss use cases in the field and see how Rules are applied in the 'real world'. We'll see how this ties in to the auditing of data and data quality in your organization. We'll see how the new functionality fits in with the existing Information Analyzer technology and extends it beyond initial data profiling and analysis functionality to Rules' monitoring capability. Here, we'll talk about how Rules will contribute to an ongoing process of managing and monitoring data quality over time and how they can help improve data quality.
Then we'll dive deeper into the core concepts, the architecture, and the both the extension of data quality assessment work as well as continual application of 8.1.1's data quality monitoring capabilities. We'll discuss basic practices of building Rules such as scoping, reusability, naming conventions, and association of Rules with business terms. We'll answer questions such as "What is a Rule?", "What are metrics?", and "How do I use benchmarks?".
Next, in a Guided Tour Product Simulation, you will build a simple Rule. You'll define it and apply it to a particular set of data. After executing that Rule and viewing its output, you will then use that same Rule definition to build a second Rule.
You will examine the pre-built functions and incorporate a function into a Rule Definition. You'll build a Rule Definition associated with reference information so that you can see how multiple pieces of data can be linked or associated together within a Rule Definition itself. We'll discuss different styles of Rules (Assessment style versus Monitoring styles) and the critical need to 'positively' frame Rules. You'll then organize Rules into folders. Next, you'll take multiple Rules and bring them together into a Rule Set. This way, you will achieve higher levels of evaluation and understanding around your data source. You will see how data is evaluated in a Rule Set. You will then see how graphs and trends are automatically generated for you and examine them. Then you will see how to use Metrics that allow you to identify trends in data quality.