The 7 Best ETL Courses for Data Integration to Consider in 2023
The editors at Solutions Review have compiled this list of the best ETL courses for data integration to consider.
Data integration is a combination of technical and business processes used to combine different data from disparate sources. This process generally supports the analytic processing of data by aligning, combining, and presenting each data store to an end-user. Organizations commonly use data integration software for enterprise-wide data delivery, data quality, governance, and analytics.
With this in mind, we’ve compiled this list of the best ETL courses for data integration 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 ETL 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 ETL Courses
OUR TAKE: This beginner-level Coursera training takes roughly 18 hours to complete and offers flexible deadlines. It also touts more than 2,200 ratings and 4.4 stars. It is offered by UC San Diego.
Description: This course is for those new to data science. Completion of Intro to Big Data is recommended. No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments. At the end of this course, you will be able to retrieve data from example databases and big data management systems, describe the connections between data management operations and the big data processing patterns needed to utilize them.
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 Implementation, Data Warehousing for Business Intelligence SpecializationGO TO TRAINING
OUR TAKE: Pluralsight’s Databricks ETL Pipeline module is beginner-level and takes just under three hours to complete. Instructor Mohit Batra is a data engineer and Microsoft Certified Trainer.
Description: In this course, Building Your First ETL Pipeline Using Azure Databricks, you will gain the ability to use the Spark-based Databricks platform running on Microsoft Azure, and leverage its features to quickly build and orchestrate an end-to-end ETL pipeline. And all this while learning about collaboration options and optimizations that it brings, but without worrying about the infrastructure management.GO TO TRAINING
OUR TAKE: This five-week Edureka training covers a wide variety of data management and business intelligence topics for consideration. It touts more than 6,000 satisfied students.
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: Udemy’s ETL Testing module provides 19 hours of on-demand video, 1 article, 12 downloadable resources, and a completion certificate. It is made up of 41 sections and 255 different lectures.
Description: This ETL Testing course from Udemy is an essential course for all software testing professionals. It will help you to perform data checks using SQL and understand the scope of BI testing. In addition, users will gain an understanding of different ETL testing scenarios like constraint testing, source-to-target, business rules, negative scenarios, and dependency testing.GO TO TRAINING
OUR TAKE: This Skillshare training provides an introduction to ETL testing, different data categories and data quality, how to build database views, and more.
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.GO TO TRAINING
TITLE: ETL Tools Training
OUR TAKE: Intellipaat’s ETL Tools Training touts 146 hours of self-paced video, 292 hours of project work and exercises, and certification and job assistance, as well as a certificate, upon completion.
Description: This Intellipaat training in ETL tools will give you a powerful head start when it comes to extract, transform and load processes that exclusively cater to the business intelligence domain. This all-in-one course in ETL includes the six most powerful ETL tools, and upon the completion of the training you will be a certified ETL professional.
More “Top-Rated” Intellipaat paths: ETL Testing TrainingGO TO TRAINING
OUR TAKE: This data integration training, offered by Mindmajix, features 30 hours of live training, 20 hours of lab work, and can be completed via a flexible schedule.
Description: The Mindmajix Intelligent Data Integration Training is an expert overview of data integration tools, data integration hub architecture, big data management, operational intelligence, and PowerExchange for the cloud. The course also covers end-to-end transaction lifecycle (monitoring and remediation) and supporting an array of inbound and outbound protocols available to any consuming application, system, or analytics product.
More “Top-Rated” Mindmajix paths: ETL Testing TrainingGO TO TRAINING
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