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    Data Warehouse Fundamentals for Beginners

    BY
    Udemy

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    Mode

    Online

    Fees

    ₹ 549 3999

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study
    Mode of Delivery Video and Text Based

    Course and certificate fees

    Fees information
    ₹ 549  ₹3,999
    certificate availability

    Yes

    certificate providing authority

    Udemy

    The syllabus

    Welcome

    • About This Course
    • Reflection: The Value of data Warehousing

    Data Warehousing Concepts

    • Introduction to Data Warehousing Concepts
    • What is a Data Warehouse?
    • Reasons for You to Build a Data Warehouse
    • Compare a Data Warehouse to a Data lake
    • Compare a Data Warehouse to Data Virtualization
    • Look at a Simple End-to-End Data Warehousing Environment
    • Summarize Data Warehousing Concepts
    • Data Warehousing Concepts

    Data Warehousing Architecture

    • Introduction to Data Warehousing Architecture
    • Build a Centralized Data Warehouse
    • Compare a Data Warehouse to a Data Mart
    • Decide Which Component-Based Architecture is Your Best Fit
    • Include Cubes in Your Data Warehousing Environment
    • Include Operational Data Stores in Your Data Warehousing Environment
    • Explore the Role of the Staging Layer Inside a Data Warehouse
    • Compare the Two Types of Staging Layers
    • Summarize Data Warehousing Architecture
    • Data Warehousing Architecture

    Bringing Data Into Your Data Warehouse

    • Introduction to ETL and Data Movement for Data Warehousing
    • Compare ETL to ELT
    • Design the Initial Load ETL
    • Compare Different Models for Incremental ETL
    • Explore the Role of Data Transformation
    • More Common Transformations Within ETL
    • Implement Mix-and-Match Incremental ETL
    • Summarize ETL Concepts and Models
    • ETL Fundamentals

    Data Warehousing Design: Building Blocks

    • Data Warehousing Structure Fundamentals
    • Deciding What Your Data Warehouse Will Be Used For
    • The Basic Principles of Dimensionality
    • Compare Facts, Fact Tables, Dimensions, and Dimension Tables
    • Compare Different Forms of Additivity in Facts
    • Compare a Star Schema to a Snowflake Schema
    • Database Keys for Data Warehousing
    • Summarize Data Warehousing Structure
    • Data Warehouse Structure

    Design Facts, Fact Tables, Dimensions and Dimension Tables

    • Introduction to Dimensional Modeling
    • Design Dimension Tables for Star Schemas and Snowflake Schemas
    • The Four Main Types of Data Warehousing Fact Tables
    • The Role of Transaction Fact Tables
    • The Rules Governing Facts and Transaction Fact Tables
    • Primary and Foreign Keys for Fact Tables
    • The Role of Periodic Snapshot Fact Tables
    • Periodic Snapshots and Semi-Additive Facts
    • Transaction and Periodic Snapshot Fact Tables
    • The Role of Accumulating Snapshot Fact Tables
    • Accumulating Snapshot Fact Table Example
    • Why a Factless Fact Table isn't a Contradiction in Terms
    • Compare the Structure of Fact Tables in Star Schemas vs. Snowflake Schemas
    • SQL for Dimension and Fact Tables
    • Summarize Fact and Dimension Tables
    • Factless fact tables and accumulating snapshot fact tables

    Managing Data Warehouse History Through Slowly Changing Dimensions

    • Introduction to Slowly Changing Dimensions
    • Slowly Changing Dimensions (SCDs) and Data Warehouse History
    • Design a Type 1 SCD
    • Design a Type 2 SCD
    • Maintain Correct Data Order with Type 2 SCDs
    • Design a Type 3 SCD
    • Summarize SCD concepts and implementations
    • Slowly Changing Dimensions (SCDs)

    Designing your ETL

    • Introduction to ETL Design
    • Build your ETL Design from your ETL Architecture
    • Dimension Table ETL
    • Process SCD Type 1 Changes to a Dimension Table
    • Process SCD Type 2 Changes to a Dimension Table
    • Design ETL for Fact Tables
    • Summarize ETL Design
    • ETL Design

    Selecting Your Data Warehouse Environment

    • Introduction to Data Warehousing Environments
    • Decide Between Cloud and On-Premises Settings for Your Data Warehouse
    • Architecture and Design Implications for Your Selected Platform
    • Data Warehousing Environments

    Conclusion

    • Thank you for taking the course!
    • Additional resources for further study

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