Oversikt
| Kurskode | 2I751NO | Leveringsform | Self-paced Virtual Class |
|---|---|---|---|
| Varighet | 32.0 timer | Kurstype | |
| Listepris |
NOK 14 250,00 u. moms
NOK 14 250,00 m. moms |
This course introduces the concepts and methods used to perform information analysis. IBM WebSphere Information Analyzer and Business Glossary will be used to perform data profiling, data assessment, and meta data enrichment tasks. This course is updated to Information Server V8.1.2.
During this course, students will learn how to use IBM Information Analyzer to analyze data and report results to business users. This course will also explore techniques for delivering data analysis results to ETL developers and show 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 hands-on labs.
Please do not make travel arrangements for this course. After you receive confirmation that you are enrolled, you will be sent further instructions to access the course.
Learn the concepts and methods used to perform information analysis. Use IBM Information Analyzer and Business Glossary to perform data profiling, data assessment, and meta data enrichment tasks. This is a self-paced online course and includes hands-on remote labs. Once your registration is confirmed, you will receive detailed access instructions via email. You will have 28 days access to this course when it is started. The lab uses dual client/server images, that will run continuously for 20 days (480 hours) after the lab is first launched.
The self-paced format gives you the opportunity to complete the course at your convenience, at any location, and at your own pace. The course is available 24 hours a day, but lab system access is allocated on a first-come, first-served basis. You will have a total of 40 hours allocated to complete all of the lab exercises, so when you are not using the system, ensure that you log out to maximize ability to use the lab system. Once you have accessed the course, instructor help is available via the course forum Monday through Friday; questions will be responded to within 24 hours.
Målgruppe
This is a basic course for business data analysts who wish to profile and assess data using Information Analyzer.
Forkunnskaper
You should have:
- Knowledge of UNIX or Windows NT administration
- Data modeling experience helpful
- Familiarity with Open Database Connectivity (ODBC) and relational database access techniques
Mål
- Analyze data structures to determine agreement with documented meta data
- Discover data anomalies
- Identify invalid and incomplete data
- Determine primary keys to table structures
- Add business meaning to data
- Produce deliverables that can be used by business users and ETL developers
- Configure Information Analyzer
- Administer the Information Analyzer environment
- Describe security considerations around data analysis
- Explain methodology supporting data analysis
- Use Information Analyzer to analyze data content and structure
Nøkkelemner
- Understanding information Analysis
- Information Server overview
- Information Analyzer overview
- Information Analyzer Setup
- Column analysis
- Concepts
- Basic data profiling techniques in practice
- Primary key analysis
- Concepts
- Basic data profiling techniques in practice
- Foreign key and cross domain analysis
- Concepts
- Basic data profiling techniques in practice
- Baseline analysis
- Reporting and publishing
- Extending the meta data - Business Glossary and Information Analyzer
- Data Rules and Metrics
- Data quality assessment - QualityStage
Maskinkrav
HW/SW CONFIGURATION
The minimum hardware and software required to launch the course are:
- Reliable HIGH-SPEED INTERNET connection (min 200 kbps up and down)
- Windows 2000 or XP or Vista
- Computer with soundcard
- Headset or computer speakers
- Internet Explorer 5.01 or later, or Firefox 1.0 or later
Virtual Lab Environment Test
Please use the following site to test your readiness to participate in a virtual session:
User: clp
Pass: ibmeduc
High-speed broadband internet access is the recommended configuration for this course.
Keyboard Configuration
If you use a different character keyboard, you may experience errors when entering passwords. If possible, change your language/country settings for your keyboard to USA, which allows you to enter characters as in a QWERTY keyboard.