courseraАнализ данных

Data Warehousing Essentials for Analytics and AI Support

Курс от Northeastern University

Уровень не указан≈ 16.6 чАнглийский

О курсе

This course will cover various topics in Data Engineering in support of decision support systems, data analytics, data mining, machine learning, and artificial intelligence. You will study on-premises data warehouse architecture, and dimensional modeling of data warehouses.

Навыки, которые вы освоите

Database Design SQL Data Warehousing Relational Databases Data Integrity Database Theory Business Intelligence Query Languages Diagram Design Database Architecture and Administration Databases Database Management Data Modeling Data Analysis Data-Driven Decision-Making Analysis

Программа курса

4 модулей · 27 учебных материалов

01Database Concepts 110 материалов

Course Welcome

Course OverviewЧтение Syllabus - Data Warehousing Essentials for Analytics and AI Support Чтение Meet Your Fellow LearnersОбсуждение Academic IntegrityЧтение

Module 1 Lesson 1: Introduction to Data Warehouses

Учитесь у экспертов

Venkat Krishnamurthy

Professor

Data Warehousing Essentials for Analytics and AI Support

О курсе

Навыки, которые вы освоите

Программа курса

Course Welcome

Module 1 Lesson 1: Introduction to Data Warehouses

Учитесь у экспертов

Venkat Krishnamurthy

Module 1 Lesson 2: Conceptual Database Design

Module 2 Lesson 1: Logical Database Design

Module 2 Lesson 2: SQL

Module 3 Lesson 1: Multidimensional Model

Module 3 Lesson 2: Measures and Summarizability

Module 4 Lesson 1: OLAP Operations on a Multidimensional Model

Module 4 Lesson 2: Data Warehouse and Architecture

Course Conclusion