Data Integration Buyer's Guide

The Four Best Data Architecture Certifications Online for 2023

The Best Data Architecture Certifications

The Best Data Architecture Certifications

The editors at Solutions Review have compiled this list of the best data architecture certifications to consider taking.

SR Finds 106

Data architecture is a catch-all term composed of models, policies, rules, or standards that govern which data is collected, how it is stored, arranged, integrated, and put to use in data systems and in organizations. Often touted as the foundation of any organizational data strategy, data architecture describes the data structures used by a business and its computer application software. Architectures also address data in storage, data in use and in motion, and descriptions of data stores, data groups and other data items.

With this in mind, we’ve compiled this list of the best data architecture certifications 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 data architecture certifications online from trusted institutions. We made sure to include certificate descriptions and Solutions Review’s personal take on each.

For an even deeper insight on this topic, we recommend Qlik’s new Enterprise Architect’s Guide which shares four key strategies for automating your data pipeline.

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The Best Data Architecture Certifications

TITLE: IBM Data Engineering Professional Certificate

OUR TAKE: This beginner-level professional certificate will help you explain and perform the key tasks required in a data engineering role. Key topics include relational databases and data querying using SQL statements. Students also learn about different data structures and architecture.

Platform: Coursera

Description: This professional certificate is for anyone who wants to develop job-ready skills, tools, and a portfolio for an entry-level data engineer position. Throughout the self-paced online courses, you will immerse yourself in the role of a data engineer and acquire the essential skills you need to work with a range of tools and databases to design, deploy, and manage structured and unstructured data.

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TITLE: Big Data Architect Masters Program

OUR TAKE: This Edureka certification training offers a whopping 200 hours of interactive content, and consists of 9 courses. It also includes a capstone project and teaches you all the trending big data terminology.

Platform: Edureka

Description: Edureka’s Big Data Architect Masters Program makes you proficient in tools and systems used by big data experts. This Masters’s in Big data includes training on the Hadoop and Spark stacks, Cassandra, Talend, and the Apache Kafka messaging system. The curriculum has been determined by extensive research on more than 5,000 job descriptions across the globe.

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TITLE: IBM Data Engineering Fundamentals

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.

Platform: edX

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.

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TITLE: Become a Data Architect Nanodegree

OUR TAKE: Learn how to plan, design and implement enterprise data structure solutions and create blueprints. This nanodegree program takes 4 months to finish.

Platform: Udacity

Description: In this program, you’ll plan, design and implement enterprise data infrastructure solutions and create the blueprints for an organization’s data management system. You’ll create a relational database with PostGreSQL, design an Online Analytical Processing (OLAP) data model to build a cloud-based data warehouse, and design scalable data lake architecture that meets the needs of big data. Finally, you’ll learn how to apply the principles of data governance to an organization’s data management system.

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NOW READ: The Best Data Architecture Books

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