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Modern Data Warehousing with ETL Processes

Beginner level 2.25 learning hrs
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Modules updated 07/2025

Modern Data Warehousing with ETL Processes

Beginner level 2.25 learning hrs
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Skills you will gain

Data Warehousing architecture

Effective ETL process implementation

Schema design techniques

Data management best practices

Understanding of Data Warehousing methodologies

Key Highlights

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About this course

This course, explains the foundational concepts of Data Warehousing, its purpose, architecture, and the critical ETL processes that facilitate data management. This course also explores about the schema design and different techniques for managing large datasets. This course also teaches the essential skills to harness data for effective analysis, in enhanced decision-making for any data-driven environment. Join us to explore the potential of data warehousing!

Course outline

Introduction to Data Warehousing

This module helps in understanding Data Warehousing, its purpose, components, architecture, along with significance of ETL processes and schema designs for maintaining large datasets.

ETL Process and Schema Design

This module explores ETL process, schema design, extraction, transformation, loading techniques, different schemas, essential for effective Data Warehousing.

Approaches and Techniques in Data Warehouse

This module covers various approaches to Data Warehousing, different methodologies, techniques such as data mining and loading processes which are important for effective data management and analysis.

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Modern Data Warehousing with ETL Processes

2.25 Hours

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