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IBM InfoSphere Advanced QualityStage V11.5 SPVC
Valid through October 31, 2022
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Contains: PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace.
This course will step you through the QualityStage data cleansing process. You will transform an unstructured data source into a format suitable for loading into an existing data target. You will cleanse the source data by building a customer rule set that you create and use that rule set to standardize the data. You will next build a reference match to relate the cleansed source data to the existing target data.
If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course. http://www.ibm.com/training/terms
1: QualityStage Review • Course project • QualityStage review • Data Quality • Master Data Management • Investigate • Standardize • Match
2: Structure of a Rule Set • Rule Sets and Rule Set files • Classes and Classification tables • Thresholds • Dictionary files • Pattern action files • Optional tables
3: Creation of a Custom Rule Set • Custom Rule Set development cycle • Investigate data file • Parsing • SEPLIST/STRIPLIST updates
4: Initial Investigation of Data to Be Standardized • Word Investigation • Pattern report • Token report
5: Classification Table • Create the Classification Table • Classification schema • What to classify • Process • Resulting Classification File with Legend • Pattern review: refining the Classification Table
6: Pattern Action File • Pattern Action Language • Development of Pattern Action Sets • Refining Pattern Action Sets • Investigation of Standardized Results
7: Standardization Rules Designer • What is Standardization Rules Designer or SRD? • Using the SRD • SRD work areas • Rule Set revision and selection • Embedded assistance
8: Match Frequency • Match frequency job • Column mapping • Match frequency data set • Using match frequencies in a match job
9: Two-Source (Reference Match) Advanced Implementation • Create a reference match between standardized product data and warehouse data • Refine the match results using the description fields of the standardized product data and the warehouse data.
The intended audience for this course are: • QualityStage programmers • Data Analysts responsible for data quality using QualityStage • Data Quality Architects • Data Cleansing Developers • Data Quality Developers needing to customize QualityStage rule sets
Participants should have: • Compled the QualityStage Essentials course, or have equivalent experience • familiarity with Windows and a text editor • familiarity with elementary statistics and probability concepts (desirable but not essential)
After completing this course, you should be able to:
• Modify rule sets
• Build custom rule sets
• Standardize data using the custom rule set
• Perform a reference match using standardized data and a reference data set
• Use advanced techniques to refine a Two-source match
- Duration: 32 Hours
- Delivery Format: Classroom Training, Online Training
- Price: 3,260.00 USD
- Duration: 32 Hours
- Delivery Format: Self-Paced Training
- Price: 1,595.00 USD
Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
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Self-Paced Training Terms & Conditions
THIS IS A SELF-PACED VIRTUAL CLASS. AFTER YOU REGISTER, YOU HAVE 30 DAYS TO COMPLETE THE COURSE.
This is a Self-Paced virtual class; it is intended for students who do not need the support of a classroom instructor. If you feel you would better benefit from having access to a Subject Matter Expert, please enroll in the Instructor-Led version instead. Minimal technical support is provided to address issues with accessing the platform or problems within the lab environment.
Before you enroll, review the system requirements to ensure that your system meets the minimum requirements for this course. AFTER YOU ARE ENROLLED IN THIS COURSE, YOU WILL NOT BE ABLE TO CANCEL YOUR ENROLLMENT. You are billed for the course when you submit the enrollment form. Self-Paced Virtual Classes are non-refundable. Once you purchase a Self-Paced Virtual Class, you will be charged the full price.
After you receive confirmation that you are enrolled, you will be sent further instructions to access your course material and remote labs. A confirmation email will contain your online link, your ID and password, and additional instructions for starting the course.
You can start the course at any time within 12 months of enrolling for the course. After you register/start the course, you have 30 days to complete your course. Within this 30 days, 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.
If the course requires a remote lab system, the lab system access is allocated on a first-come, first-served basis. When you are not using the elab system, ensure that you suspend your elab to maximize your hours available to use the elab system.
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