Data Warehousing: Schema, ETL, Optimal Performance

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Go to Course: https://www.coursera.org/learn/data-warehousing-schema-etl-optimal-performance

Introduction

Explain the importance of data warehousing in business intelligence.

Design and implement effective schema designs for data warehouses.

Implement ETL processes to load and transform data into a data warehouse.

Apply performance optimization techniques to enhance data warehouse efficiency.

Syllabus

Data Warehousing: Schema, ETL, Optimal Performance

This course focuses on the fundamental aspects of data warehousing, including schema design, extract, transform, load (ETL) processes, and techniques for optimizing performance.

Overview

Data warehousing is a critical component of modern business intelligence, providing a centralized repository for structured and organized data. This course focuses on the fundamental aspects of data warehousing, including schema design, extract, transform, load (ETL) processes, and techniques for optimizing performance. By comprehending these core concepts, participants will be equipped to design and implement efficient data warehouses that support informed decision-making and business intellige

Skills

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