Data Warehouse Essentials: Mastering the Foundations of Data Management

Data Warehouse Essentials is a course designed to provide a robust understanding of data warehousing concepts, architecture, and best practices. Targeted at aspiring data professionals, this course delivers the knowledge required to design, implement, and optimize data warehouses.
Core Learning Objectives:
- Understand data warehousing concepts and their importance in modern data management.
- Learn architectural components and design considerations.
- Explore data modeling techniques, including ER models and star schemas.
- Examine ETL processes and data integration from multiple sources.
- Get acquainted with popular data warehousing tools and technologies.
- Develop querying, reporting, and performance optimization skills.
- Ensure security, compliance, and governance in data warehousing.
- Understand the relationship between big data and data warehouses.
The course starts with an introduction to data warehousing fundamentals, focusing on their importance in data-driven decision-making. It covers data warehouse architecture, components, and design aspects crucial for building efficient systems.
Learners delve into data modeling to organize data within a warehouse and cover essential ETL procedures for data integration and cleansing. Practical skills include navigating data warehousing tools and the current technology landscape.
Other focus areas include querying, reporting, performance optimization, and maintaining data warehouse security and governance. The course ends with the exploration of big data's interaction with data warehousing, preparing students to address modern data challenges. By the conclusion, participants will enhance their data management skills, becoming adept at designing and managing robust data warehouses in line with business objectives.

1147198598
Data Warehouse Essentials: Mastering the Foundations of Data Management

Data Warehouse Essentials is a course designed to provide a robust understanding of data warehousing concepts, architecture, and best practices. Targeted at aspiring data professionals, this course delivers the knowledge required to design, implement, and optimize data warehouses.
Core Learning Objectives:
- Understand data warehousing concepts and their importance in modern data management.
- Learn architectural components and design considerations.
- Explore data modeling techniques, including ER models and star schemas.
- Examine ETL processes and data integration from multiple sources.
- Get acquainted with popular data warehousing tools and technologies.
- Develop querying, reporting, and performance optimization skills.
- Ensure security, compliance, and governance in data warehousing.
- Understand the relationship between big data and data warehouses.
The course starts with an introduction to data warehousing fundamentals, focusing on their importance in data-driven decision-making. It covers data warehouse architecture, components, and design aspects crucial for building efficient systems.
Learners delve into data modeling to organize data within a warehouse and cover essential ETL procedures for data integration and cleansing. Practical skills include navigating data warehousing tools and the current technology landscape.
Other focus areas include querying, reporting, performance optimization, and maintaining data warehouse security and governance. The course ends with the exploration of big data's interaction with data warehousing, preparing students to address modern data challenges. By the conclusion, participants will enhance their data management skills, becoming adept at designing and managing robust data warehouses in line with business objectives.

4.95 In Stock
Data Warehouse Essentials: Mastering the Foundations of Data Management

Data Warehouse Essentials: Mastering the Foundations of Data Management

by Virversity Online Courses

Narrated by Professor Daniel Martin

Unabridged — 5 hours, 10 minutes

Data Warehouse Essentials: Mastering the Foundations of Data Management

Data Warehouse Essentials: Mastering the Foundations of Data Management

by Virversity Online Courses

Narrated by Professor Daniel Martin

Unabridged — 5 hours, 10 minutes

Audiobook (Digital)

$4.95
FREE With a B&N Audiobooks Subscription | Cancel Anytime
$0.00

Free with a B&N Audiobooks Subscription | Cancel Anytime

START FREE TRIAL

Already Subscribed? 

Sign in to Your BN.com Account


Listen on the free Barnes & Noble NOOK app


Related collections and offers

FREE

with a B&N Audiobooks Subscription

Or Pay $4.95

Overview

Data Warehouse Essentials is a course designed to provide a robust understanding of data warehousing concepts, architecture, and best practices. Targeted at aspiring data professionals, this course delivers the knowledge required to design, implement, and optimize data warehouses.
Core Learning Objectives:
- Understand data warehousing concepts and their importance in modern data management.
- Learn architectural components and design considerations.
- Explore data modeling techniques, including ER models and star schemas.
- Examine ETL processes and data integration from multiple sources.
- Get acquainted with popular data warehousing tools and technologies.
- Develop querying, reporting, and performance optimization skills.
- Ensure security, compliance, and governance in data warehousing.
- Understand the relationship between big data and data warehouses.
The course starts with an introduction to data warehousing fundamentals, focusing on their importance in data-driven decision-making. It covers data warehouse architecture, components, and design aspects crucial for building efficient systems.
Learners delve into data modeling to organize data within a warehouse and cover essential ETL procedures for data integration and cleansing. Practical skills include navigating data warehousing tools and the current technology landscape.
Other focus areas include querying, reporting, performance optimization, and maintaining data warehouse security and governance. The course ends with the exploration of big data's interaction with data warehousing, preparing students to address modern data challenges. By the conclusion, participants will enhance their data management skills, becoming adept at designing and managing robust data warehouses in line with business objectives.


Product Details

BN ID: 2940194041398
Publisher: Archieboy Audiobook Production
Publication date: 03/26/2025
Series: Virversity Online Courses: Data Science and Analytics
Edition description: Unabridged
From the B&N Reads Blog

Customer Reviews