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Learners will delve into the specifics of connector stages, exploring their functionality, error handling, and use with multiple input links. They will gain proficiency in processing unstructured data, such as extracting information from Excel spreadsheets and handling various data formats. The course also emphasizes the importance of data masking for protecting sensitive information, applying data masking policies, and utilizing reference tables for consistent data anonymization.
Participants will learn to validate data quality using data rules and enhance data governance. Furthermore, they will acquire skills in processing XML data, mastering the Hierarchical Stage to manage complex XML structures, and transforming this data for analytical purposes. Finally, the course provides insights into star schema updates, managing surrogate keys, and handling slowly changing dimensions within data warehousing environments.
By the end of the course, learners will have a robust understanding of advanced data processing techniques that can be applied to real-world data integration challenges, enhancing their proficiency in DataStage and expanding their capabilities in data management and analytics.
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♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
The IBM InfoSphere DataStage v11.5 - Advanced Data Processing course caters to professionals aiming to master complex ETL processes and data integration techniques.
Introduction to the course’s learning outcomes: This advanced course delves into IBM InfoSphere DataStage v11.5 capabilities for processing complex data, including unstructured data, XML, and database operations, emphasizing efficiency and error management.
Learning objectives and outcomes:
