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📚 What You'll Learn

• 🏗️ Foundations of Data Warehousing: Understand the core concepts and components of data warehousing.
• 🛠️ IBM InfoSphere Data Architect: Gain proficiency in using IBM InfoSphere Data Architect for data modeling.
• 🖥️ Hands-On with InfoSphere Data Architect: Engage in practical exercises to build and publish data models.
• 🏦 IBM Industry Data Models: Explore data models tailored for Financial & Banking, Healthcare, Insurance, Retail, and Telecommunications.
• 💼 Detailed Banking Data Model: Dive deep into the IBM Financial & Banking Data Model.
• 🔍 Demonstration of Banking Data Model: Observe a live demonstration of the IBM Financial & Banking Data Model using InfoSphere Data Architect.

📋 Requirements

• Basic Understanding of Data Concepts: Familiarity with fundamental data concepts is beneficial.
• Database Knowledge: Basic knowledge of databases and their structures is required.
• SQL Skills: A foundational understanding of SQL will be helpful.
• Familiarity with Data Modeling (Optional): Prior exposure to data modeling concepts can be advantageous.
• Access to IBM InfoSphere Data Architect (nice to have): Access to the software for practical exercises is recommended.
• Interest in Financial & Banking and Data Warehousing: A keen interest in these topics will enhance your learning experience.

📝 Course Description

Welcome to the "IBM InfoSphere Data Architect and Data Warehousing Course," a comprehensive online program designed to provide you with a solid foundation in data warehousing concepts and practical skills in using IBM InfoSphere Data Architect.

1. Foundations of Data Warehousing

• Importance of Data Warehousing: Gain insights into the significance and components of data warehousing, including staging, atomic data, data marts, ETL processes, and overall architecture.

2. IBM InfoSphere Data Architect Mastery

• Introduction to InfoSphere Data Architect: Dive into the features and capabilities of IBM InfoSphere Data Architect, focusing on data modeling practices, including conceptual, logical, and physical modeling.

3. Hands-On Experience

• Practical Sessions: Participate in hands-on exercises with InfoSphere Data Architect, where you'll learn to create projects, perform forward and reverse engineering, and build and publish data models using real-world scenarios.

4. IBM Industry Data Models

• Industry-Specific Solutions: Explore IBM’s tailored solutions for industry-specific data challenges, focusing on financial, healthcare, insurance, retail, and telecommunications sectors.

5. Deep Dive into Banking Data Models

• Understanding Banking Data Models: Focus on the IBM Banking Data Model, covering:
  • Financial Services Data Model (FSDM): Explore 9 key data concepts, including Involved Party, Arrangement, Condition, Product, Location, Classification, Event, Resource Item, and Business Direction Item.
  • Analytical Requirements and Dimensional Data Model: Overview of 8 main business areas: Asset & Liability Management, Investment Management, Payments, Profitability, Regulatory Compliance, Relationship Marketing, Risk Management, and Wealth Management.
  • Data Entities and Relationships: Get a detailed walkthrough of each data entity, relationship, and the atomic data warehouse model.

6. Practical Demonstration

• Live Demonstration: Witness a practical demonstration of implementing the IBM Banking Data Model using IBM InfoSphere Data Architect, focusing on the Financial Services Data Model, Analytical Requirements, Dimensional Data Model, and the Data Warehouse Model.

👥 Who This Course Is For

• Data Professionals: Individuals in data-related roles seeking to enhance their skills in data warehousing and modeling.
• Data Modelers, Designers, DBAs: Professionals who want to gain knowledge of IBM InfoSphere Data Architect and industry-specific data models (Banking & Financial Services).
• Business & Data Analysts in Banking: Analysts in the banking sector looking to leverage industry-specific data models for enhanced insights.
• Finance and Banking Professionals: Those in finance and banking interested in understanding the application of tailored data warehousing models.
• Anyone Curious About IBM Industry Data Models: Individuals interested in exploring IBM Industry Data Models and their practical applications in financial and banking contexts.