The 9 Best Data Warehousing Courses and Online Training for 2023
The editors at Solutions Review have compiled this list of the best data warehousing courses and online training to consider.
Data warehousing is a set of techniques and technologies that aggregate data from one or more operational systems. They provide the unique ability for analyzing data from multiple sources and typically play host to relational database technologies. They consist of data that has already been integrated, but they are limited in the size and scope to what they can actually hold. Data warehouses are stored in an enterprise mainframe server that can either by physical or virtual (cloud).
With this in mind, we’ve compiled this list of the best data warehousing courses and online training to consider if you’re looking to grow your data management skills for work or play. This is not an exhaustive list, but one that features the best data warehousing courses and training from trusted online platforms. We made sure to mention and link to related courses on each platform that may be worth exploring as well.
The Best Data Warehousing Courses
OUR TAKE: Coursera’s data warehousing module will teach you to evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.
Description: This Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics.
More “Top-Rated” Coursera paths: Data Warehouse Concepts, Design, and Data Integration, Relational Database Support for Data Warehouses, Design and Build a Data Warehouse for Business Intelligence ImplementationGO TO TRAINING
OUR TAKE: Pluralsight’s beginner-level course is nearly two hours long and teaches fundamentals with examples, plus a project to fully illustrate the concepts.
Description: In this course, you’ll see concrete examples which clearly illustrate these terms. Finally, you will see a sample implementation of a DW/BI project with SQL Server. As a DBA, database designer, or report developer the skills in this course will help you create and work with your data warehouse. If you are a project manager or business user, understanding how your data warehouse works will allow you to communicate your needs clearly with your development team to get the most from your business intelligence solutions.
More “Top-Rated” Pluralsight paths: Architecting Data Warehousing Solutions Using Google BigQuery, SSIS Design Patterns for Data Warehousing, Plan for Data Warehousing with Microsoft Azure, Implementing a Cloud Data Warehouse in Microsoft Azure Synapse AnalyticsGO TO TRAINING
OUR TAKE: More than 6,000 students have taken this five-week training module on Edureka. It features ten different sections and shows users how to use a variety of popular enterprise data tools.
Description: Become an expert in data warehousing and business intelligence techniques covering concepts like data warehouse architecture, data modeling, ERwin, ETL fundamentals, business reporting, and data visualization. Other topics include top-down vs. bottom-up data warehouse design, schema modeling tools, Dell Toad Data Modeler, Oracle Data Modeler, ETL tools, and a BI tools classification.
More “Top-Rated” Edureka paths: Data Warehousing Certification TrainingGO TO TRAINING
OUR TAKE: This training is a bestseller on Udemy, and was updated as recently as 2020. Students should have a basic understanding of relational databases before taking this module.
Description: During the course, you’ll put what you learn to work and define sample data warehousing architectures and dimensional data structures to help emphasize the best practices and techniques covered in this course. Each section has either scenario-based quiz questions or hands on assignments that emphasizes key learning objectives for that section’s material. This way, you can be confident as you move through the course that you’re picking up the key points about data warehousing.
More “Top-Rated” Udemy paths: Implementing a Data Warehouse with SQL Server 2012, Learn Data Warehousing and Analysis with Microsoft BI ToolsGO TO TRAINING
OUR TAKE: Skillshare’s data warehouse and ETL course trains students on data quality rules and dimensions. Learners will also be shown how to build databases and dashboards for reporting.
Description: Learn the essentials of ETL data warehouse testing and data quality management through this step-by-step tutorial. This course takes you through the basics of ETL testing, frequently used data quality queries, reporting and monitoring. In this tutorial we will learn how to build database views for data quality monitoring and build data quality visualizations and reports. The course contains training materials, where you can practice, apply your knowledge and build an app from scratch. The training materials are provided in an Excel file that you can download to your computer.
More “Top-Rated” Skillshare paths: AWS Data Warehouse – Build with Redshift and QuickSight, Snowflake Cloud Data Warehouse and Essential SQL TrainingGO TO TRAINING
TITLE: Become a Data Engineer
OUR TAKE: This intermediate-level data engineering course on Udacity takes roughly 5 months to complete by spending 5-10 hours per week. Key topics include data modeling, data warehouses, Spark and data lakes, and data pipelines with Airflow.
Description: Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets. At the end of the program, you’ll combine your new skills by completing a capstone project. Students will learn to create relational and NoSQL data models to fit the diverse needs of data consumers, as well as sharpen your data warehousing skills and deepen your understanding of data infrastructure.GO TO TRAINING
OUR TAKE: Instructor and data visualization expert Adam Wilbert covers key data warehouse skills like database design, architecture, and Microsoft SQL Server in this data warehousing course.
Platform: LinkedIn Learning
Description: Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets. At the end of the program, you’ll combine your new skills by completing a capstone project. Students will learn to create relational and NoSQL data models to fit the diverse needs of data consumers, as well as sharpen your data warehousing skills and deepen your understanding of data infrastructure.
More “Top-Rated” LinkedIn Learning paths: Data Science on Google Cloud Platform: Designing Data WarehousesGO TO TRAINING
OUR TAKE: Intellipaat’s Data Warehousing with Erwin features 12 hours of instructor-led training, self-paced videos, and 24 hours of project work. This module is available in individual or corporate settings.
Description: Intellipaat offers data warehousing training and ERwin data modeler training. You will gain thorough proficiency in multidimensional modeling, RDBMS tools, SQL parsing, comparison of data warehouse and database and Cube and ERwin implementation. This data warehousing online training course can be taken by both freshers and advanced professionals.
More “Top-Rated” Intellipaat paths: ETL Testing TrainingGO TO TRAINING
OUR TAKE: This Mindmajix module touts 30 hours of live training, 20 hours of lab work, 24/7 support and certificate and career assistance once complete.
Description: Mindmajix AWS Data Warehousing Training makes you an expert in building the applications by leveraging capabilities of data collection from various sources, consoles and commands related to bug management, various analysis methods and their usefulness. This course also demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR and etc. Additionally, this course demonstrates how to use business intelligence tools to perform analysis on your data.GO TO TRAINING
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