Course curriculum

    1. Introduction

      FREE PREVIEW

    2. Course Outline and Key Learning Outcomes

      FREE PREVIEW

    3. Get the Materials

    1. Enterprise data warehouse environment

      FREE PREVIEW

    2. Introduction to Data Vault

      FREE PREVIEW

    3. Data warehouse architecture

    1. Struggling of data warehouse with changes

    2. Data vault 2.0 architecture

      FREE PREVIEW

    3. Business rules application

    4. Staging area layer

    5. Data warehouse layer

    6. Information mart layer

    7. Extension of data vault 2.0 architecture >> Metrics Vault

    8. Business Vault

    9. Operational Vault

    1. Project planning

    2. Project planning >> Roles & Duties

    3. Project planning >> Communication

    4. Project planning >> CMMI maturity model

    5. Project planning >> SCRUM

    6. Project planning >> Estimation of the project

    7. Project execution

    8. Project execution >> Implementation steps under agile - Scrum methodology

    1. The data vault modelling

    2. Data vault 1.0 use case, requirement, database diagram & table structure

    3. Data vault 1.0 modelling

    4. Data vault 1.0 hub, link, satellite, ETL load

    5. Data vault 2.0 definition

    6. Data vault 2.0 application >> hub application

    7. Link application >> Link on Link

    8. Link application >> Same as Link

    9. Link application >> Hierarchical Link

    10. Link application >> Computed Aggregate Link

    11. Link application >> Exploration Link

    12. Satellite application >> Overloaded Satellites

    13. Satellite application >> Multi-active Satellites

    14. Satellite application >> Status tracking Satellites

    15. Satellite application >> Effectively Satellites

    16. Satellite application >> Computed Satellites

    17. Advanced data vault modeling >> Point-In-Time tables

    18. Advanced data vault modeling >> Bridge tables

    19. Data vault 2.0 flexibility

      FREE PREVIEW

    1. Data vault 2.0 introduction & use case implementation

    2. Data vault 2.0 load patterns >> hub, link, satellite, ETL load

    3. Data vault 2.0 load patterns >> hash key & parallel

About this course

  • $26.00
  • 60 lessons
  • 6 hours of video content

Data Vault Mastery: Modernizing Data Warehousing for Advanced Analytics

Modernizing Data Warehousing with Data Vault 2.0 Methodology

What You’ll Learn

📘 Modernizing Data Warehousing with Data Vault 2.0

  • Understanding the fundamentals of Data Vault 2.0 methodology and its applications.
  • Master the scalable architecture of Data Vault 2.0 for data warehousing.
  • Practical insights into project planning and execution for Data Vault.

📐 Data Vault Modeling & Implementation

  • Learn Data Vault 1.0 and 2.0 modeling techniques.
  • Experience hands-on labs using SQL Server, SSIS, and SSAS for loading data into Data Vault, Data Marts, and OLAP CUBEs.
  • Design a Dimensional Model to support data analytics.

🔗 Data Integration & Management

  • Master ETL loading patterns in Data Vault.
  • Metadata and Master Data Management essentials for organized and accessible data layers.
  • Explore the technology landscape of Data Vault 2.0 with IBM, AWS, and other platforms.

Requirements

📚 Prior Knowledge

  • Basic concepts in Data Warehousing and Database Fundamentals.
  • Familiarity with Data Modeling techniques and Data Integration processes.
  • Knowledge of Business Intelligence and Database Management Systems is recommended.

Course Overview

This comprehensive training program is designed to empower professionals in Data Vault methodologies within modern data warehousing environments. Explore advanced data modeling techniques, metadata management, and master data principles for a cutting-edge approach to data warehousing and analytics.

Course Objectives

  1. Understand Core Concepts of data vault methodology and modern warehousing.
  2. Master Data Vault Architecture to support dynamic data scalability.
  3. Learn Data Vault 2.0 Modeling for historical data capture.
  4. Implement ETL Patterns efficiently for data source integration.
  5. Explore Physical ETL Processes to populate the Data Vault.

Who This Course is For

  • Data Warehouse Architects
  • Data Engineers
  • Business Intelligence Developers
  • Data Analysts & Scientists
  • Data Managers and Governance Professionals

Enroll today to unlock your potential in data warehousing, leveraging Data Vault 2.0 for enhanced data analytics and business insights!

Reference, Rating, and Feedback

Instructor(s)

Instructor Bio:

I'm a seasoned author deeply passionate about data strategy and management. With over 15 years in IT, spanning banking, insurance, and retail, I've held key roles such as Data Division Director and Chief Data Officer. Currently, as Director of Data Division, I shape data initiatives, while as a Governance & Analytics expert, I establish robust frameworks. Through my writing, I share practical strategies and insights honed from diverse industry experience.

Dien Pham Cong

Chief Data Officer

Discover your potential, starting today

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