Overview
| Course code | 1I741 | Skill level | Basic |
|---|---|---|---|
| Duration | 32.0 hours | Delivery type | Web Based Training |
| Course type | Public only | ||
| Public price | USD $1,360.00 plus tax |
Learn how to build QualityStage parallel jobs that investigate, standardize, match, and consolidate data records. Gain hands-on experience by building an application that combines customer data from three source systems into a single master customer record.
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.
You will learn how to build QualityStage parallel jobs that investigate, standardize, match, and consolidate data records. You will gain hands-on experience by building an application that combines customer data from three source systems into a single master customer record. This is a self-paced online course. You will receive detailed access instructions in an email confirming your registration. Once you receive your access information, you will have 60 days to complete this course.
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. 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.
This is Web-Based version of Classroom course IBM InfoSphere QualityStage Essentials V8 (KM210), Instructor-Led Online course IBM InfoSphere QualityStage Essentials V8 - ILO (3M210) and Self-Paced Virtual course QualityStage V8 Essentials - SPVC (2I741).
Audience
This basic QualityStage training is needed for the following Information Server client groups:
- Data Analysts responsible for data quality using QualityStage
- Data Quality Architects
- Data Cleansing Developers
Prerequisites
You should have familiarity with:
- Windows
- A text editor
- Some knowledge of DataStage helpful
Skills taught
- Describe data quality definition and issues
- Build QualityStage jobs to investigate data quality issues
- Build QualityStage jobs to cleanse data
- Consolidate duplicate records using QualityStage
- Create a consolidated view of business case customer records
- Use QualityStage to read and investigate non-English data
- Build QualityStage jobs to validate address data
Course outline
- Data Quality Issues
- QualityStage Architecture
- Developing with QualityStage
- Investigation
- Standardize
- Match
- Survivorship
- Special Topics - migration tool
- Globalization (NLS)
- Address Verification Stage
Machine requirements
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
Network Speed Test
http://clpext.moppssc.com/index.php?option=com_wrapper&view=wrapper&Itemid=8
User: clp
Pass: ibmeduc
For example, a speed test against the server with a slow connection of 140 Kbps download and 28 Kbps upload took 14 minutes to load a 30min recording before the video began. Extrapolate from this result to estimate approximately how fast your network internet access would be. 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.