The editors at Solutions Review have compiled this list of the best ETL certifications online for data integration to consider acquiring.
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 certifications for data integration from leading online professional education platforms and notable universities. The certifications listed offer students the training they need to develop new skills and advance their careers. This is not an exhaustive list, but one that features the best ETL certifications for data integration online from trusted institutions. We made sure to include certificate descriptions and Solutions Review’s personal take on each.
The Best ETL Certifications for Data Integration
OUR TAKE: This expert instruction features 3 graduate-level courses and takes 9 months to complete. You will learn how to think about information systems from the perspective of the CEO, CIO or a member of the executive suite.
Description: The MicroMasters program in information systems is designed to provide an overview of the foundational capabilities that form the digital core along with the digital technology strategy that focuses on creating value at the frontiers of business and technology. Learn from world-renowned information systems professors and authors of leading textbooks at Kelley School of Business.GO TO TRAINING
OUR TAKE: IBM’s Data Engineering Fundamentals module will provide certification in Python programming, relational databases, and the SQL language in a self-paced manner over 4-to-5 months.
Description: You will learn what data engineering is, what the modern data ecosystem looks like, and the data engineering lifecycle. You will also be provided with a taste of a day in the life of a data engineer and tips from professionals on starting your career in this discipline.GO TO TRAINING
OUR TAKE: Students will learn the skills to build production-ready data infrastructure. This module can be completed in as little as five months. Prerequisites include intermediate Python and SQL.
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. To be successful in this program, you should have intermediate Python and SQL skills.GO TO TRAINING
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