Data- Related IBM Solutions Bundle

1️⃣ Course 1: Mastering IBM Industry Data Warehousing Models

Master IBM Financial and Banking Data Models using IBM InfoSphere Data Architect.

📚 What You'll Learn
🏗️ Foundations of Data Warehousing: Core concepts and architecture.
🛠️ IBM InfoSphere Data Architect: Comprehensive training on data modeling tools.
🖥️ Hands-On Practice: Build and publish real-world data models.
🏦 Industry-Specific Data Models: Banking, Healthcare, Insurance, Retail, Telecommunications.
💼 Deep Dive into Banking Models: Financial Services Data Model (FSDM).

📋 Requirements

📘 Basic data concepts.
🛢️ Database and SQL fundamentals.
💻 Familiarity with data modeling (optional).
🖥️ Access to IBM InfoSphere Data Architect for exercises.

2️⃣ Course 2: IBM Cloud Pak for Data (CP4D) - Knowledge Catalog

Master Data Governance with IBM Knowledge Catalog on CP4D.

📚 What You'll Learn
🔍 Data Governance Fundamentals: Principles and frameworks.
📂 Role of Data Governance Catalogs: In governance and compliance.
☁️ IBM Knowledge Catalog Integration: Functionalities within CP4D.
🛡️ Data Quality Management: Real-world applications for security and accessibility.

📋 Requirements

📘 Basic data governance knowledge.
🖥️ IBM CP4D access for hands-on practice.

3️⃣ Course 3: Metadata Management with IBM InfoSphere Governance Catalog

Master Data Governance & Metadata with IBM InfoSphere.

📚 What You'll Learn
🗂️ Data Governance Basics: Policies and business glossary management.
🔍 Metadata Management: Unified approach using IBM Information Server.
📖 Catalog Navigation: Practical techniques for asset management.

📋 Requirements

📘 Basic understanding of data concepts.
🖥️ Optional access to InfoSphere Governance Catalog for exercises.

4️⃣ Course 4: Mastering Data Integration (ETL) with IBM DataStage

Comprehensive ETL training using IBM DataStage.

📚 What You'll Learn
🔄 DataStage Administration: Console navigation and setup.
🔗 Advanced Processing: Lookup, Join, and Merge stages.
🔧 Cloud Integration: Real-world AWS and Data Vault practices.

📋 Requirements

📘 Basic data integration knowledge.
🖥️ IBM DataStage software for hands-on exercises.

4️⃣ Course 5: Mastering IBM Infosphere QualityStage

Enhancing Data Integration and Quality Management

📚 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.

Who This Bundle is For 🎓

Data Professionals: Enhance your technical expertise.
IT Experts: Expand knowledge on advanced tools.
Business Analysts: Unlock data’s potential for insights.
Students & Graduates: Build a career-ready skillset.

🚀 Join this bundle to unlock the power of IBM data solutions and advance your career today!