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📚 What You'll Learn

• 🏛 IBM Information Server Architecture: Understand the architecture and product components of IBM Information Server.
• 🔄 IBM Information Server Topologies: Gain insight into different deployment topologies and considerations.
• ⚠️ Data Quality Challenges: Identify five common types of data quality issues.
• 🔧 IBM InfoSphere QualityStage for Issue Resolution: Master how QualityStage effectively addresses data quality challenges.
• 💡 QualityStage Functions & Capabilities: Comprehensive understanding of QualityStage functions and tools.
• 🔍 Investigate Stage: Explore Character Discrete options, including C and T masks, for in-depth data investigation.
• 📋 Character Concatenate Options: Learn practical applications of C, T, and X masks to manage character data.
• 📝 Word Investigate Stage: Apply Word Investigate to analyze and improve data.
• ✔️ Standardize Stage: Standardize data with validation rule sets for consistency.
• 🤝 Match Stage for Data Matching: Implement the Match Stage to identify duplicate or similar data.
• 🎯 Survivorship Stage: Learn to retain the highest-quality data through survivorship.
• 💼 Real-World Practice: Gain hands-on experience with QualityStage techniques through practical demonstrations.

📋 Requirements

• Data Quality Principles: Knowledge of foundational data quality concepts.
• IBM Information Server Tools: Familiarity with IBM Information Server components.
• Data Integration Basics: Basic understanding of data integration concepts.

📝 Description

The IBM InfoSphere QualityStage Mastery Course provides a deep dive into IBM QualityStage, equipping you with critical skills for managing data quality. Ideal for data analysts, data engineers, and IT professionals, this course takes you from foundational concepts to advanced QualityStage techniques, preparing you to address complex data quality issues in real-world settings.

Course Objectives:

• IBM Information Server Architecture: Gain an in-depth understanding of the IBM Information Server architecture and deployment topologies.
• Comprehensive QualityStage Training: Delve into the features of IBM InfoSphere QualityStage, from Investigate and Standardize stages to Match and Survivorship.
• Practical Data Quality Techniques: Learn hands-on techniques, including Character Discrete and Concatenate masking options, and explore how to implement data quality solutions effectively.

Course Outline:

• Module 1: Introduction to IBM Information Server
  • Explore architecture, topologies, and essential components.
• Module 2: Data Quality Challenges
  • Learn about common data quality issues and approaches for resolution.
• Module 3: QualityStage Functions
  • Investigate Stage, Word Investigate, and Character Concatenate options.
• Module 4: Data Standardization & Validation
  • Use the Standardize stage to enforce data consistency.
• Module 5: Match & Survivorship Stages
  • Implement data matching and retain high-quality records.

By the End of This Course:

• Effectively Use QualityStage for Data Quality Management: Confidently navigate IBM InfoSphere QualityStage and resolve complex data quality challenges.
• Enhance Your Career: Position yourself as a skilled data quality specialist equipped with IBM QualityStage expertise.

👥 Who This Course Is For

• Data Stewards
• Data Governance Specialists
• Data Quality Specialists
• Data Analysts
• Data Engineers
• Professionals in Data Integration and Quality Management