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Best Data Architect Courses and Certification Online

Best Data Architect Certification

A data architect is a person who designs, establishes, and manages the structure of data to support business processes. They are responsible for creating a long-term strategy for structuring and storing data, as well as for implementing that strategy.

Becoming a competent data architect requires experience, knowledge, and training. Fortunately, there are many data architect certification programs available so you can become an expert in this field. Here we review some of the best options if you want to become a specialized expert.

1. Data Architect Nanodegree (Udacity)

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An experienced data architect will know how to design a logical organization that aligns with your company’s business workflow and preserves the integrity of your company’s data while also being able to adapt to changes in your company’s workflow.

The right architecture will also support future growth by providing flexible access control and an agile approach toward schema evolution. The Udacity Data Architect Nanodegree will help aspiring professionals for designing solutions that implement data governance and business intelligence across an organization.


  1. Data Architecture Foundations – Learn to use the data architecture principles to create a professional database and ER diagram. From design to implementation, this course is designed to provide you with the essential knowledge and skills as a solid base in data architecture.
  2. Designing Data Systems – Gain a foundational understanding of designing data systems. Learn the benefits of data warehousing in Snowflake and learn to design an operational data store (ODS).  Finally, you’ll learn about the intricacies of dimensional modeling, OLAP, and ELT, and how these technologies can be utilized to solve complex business problems.
  3. Big Data Systems – Get hands-on experience with some of the industry’s most-used Big Data tools that are widely used across the industry. Learn the internal architecture of Big Data tools such as HDFS, MapReduce, Hive, and Spark. Finally, this course will teach you how to identify problems, design solutions, and evaluate NoSQL databases.
  4. Data Governance – Educate yourself and learn how to design a data governance solution that meets your company’s needs. This course will provide the necessary knowledge to design a data governance solution that meets your company’s needs and helps you identify, prioritize, and monitor data quality issues.

Skills Acquired

  • Online Analytical Processing (OLAP)
  • Operational Data Store (ODS) Design
  • Snowflake
  • Hadoop Distributed File System (HDFS)
  • Structured Query Langauge (SQL)
  • MapReduce
  • NoSQL Databases
  • Data Warehouses and Lakes
  • DynamoDB
  • Hive
  • Spark
  • Metadata Management System
  • Enterprise Data Model
  • Enterprise Data Catalog
  • Entity Relationship Diagram (ERD)
  • OLAP Dimensional Data Models

PREREQUISITES: This program requires intermediate Python skills and a basic understanding of ETL and data pipelines.

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