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Data Architect

Nanodegree Program

The Data Architect Nanodegree program will be to propel learners to an advanced data professional role as a Data Architect.

The Data Architect Nanodegree program will be to propel learners to an advanced data professional role as a Data Architect.


4 months

Real-world Projects

Completion Certificate

Last Updated December 12, 2023

Skills you'll learn:
Data architecture fluency • Master data management • Big data fluency • Data quality assessment
Basic computer programming • Relational database basics • Basic SQL

Courses In This Program

Course 1 1 hour

Welcome to the Data Architect Nanodegree Program

Course 2 4 weeks

Data Architecture Foundations

In this course, you will cover the foundations of data architecture.

Course 3 4 weeks

Designing Data Systems

In this course, students will learn about the major components in architecting an enterprise data system by actually designing a staging area, operational data store, and data warehouse. Students will learn the importance of creating business requirements and data artifacts that define the data in a "Single Version of Truth." From ingesting data into a staging database, moving the data to the operational data store where data is transformed, to ultimately accessing the data warehouse. Students will learn how the data warehouse helps eliminate data silos and bring data from across the enterprise into one central system, which can be governed and accessible by anyone in the enterprise to understand and analyze intelligent insights to address business challenges and opportunities.

Course 4 4 weeks

Big Data Systems

There are 2 main roles in the Big Data industry: Big Data Engineer and Big Data Architect. We will focus on the Architect role. We will look at the characteristics of Big Data, its business value, and how companies are using Big Data today. We study the most popular storage and processing frameworks.....aka...Big Data ecosystem components. We will dive deep into NoSQL, how it differs from traditional relational databases, how to model, and what the tool interface looks like. Finally, we will talk about the benefits, challenges, design patterns of Data Lake technology. Your final project is based on a real-world scenario that will require you to think like an architect and build an end-to-end data lake system proposal.

Taught By The Best

Photo of Nicholas DeGiacomo

Nicholas DeGiacomo

Data Scientist

Nick has built and managed teams of scientists and engineers for political campaigns, social media, and supply chain companies. With experiences ranging from startups to Amazon, he balances speed and scale. In his free time, Nick enjoys teaching graduate statistics courses at both Columbia and Yeshiva Universities.

Photo of Shrinath Parikh

Shrinath Parikh

Senior Data Architect

Shrinath is an entrepreneur and Data Architect passionate about helping enterprise companies transform and engineer their big data analytics applications on Cloud. He has worked with AWS, Google and Microsoft cloud platforms, has over 15 certifications and an MS in Computer Science from The University Of Texas at Dallas.

Photo of Rostislav Rabotnik

Rostislav Rabotnik

Principal Data Architect

Rostislav is an Enterprise Data Architect and Data Management Leader whose expertise covers data governance, architecture, and integration practices across a diverse range of technologies. He has worked at companies of all sizes and in various industries. His musings can be found at learndataarchitecture.com

Photo of Vijaya Nelavelli

Vijaya Nelavelli

Founder & Principal Data Architect

Vijaya is the Founder and Principal Data Architect for Great View Data Corp., which provides Data Architecture consulting and implementation services. Vijaya has extensive experience with creating architecture strategy and roadmaps, establishing frameworks and best practices, and Data Management.

Photo of Shankar Korrapolu

Shankar Korrapolu

CEO at OK2

Shankar Korrapolu is the co-founder and CEO of startup OK2, a cross-platform mobile gaming engine that builds games cheaper and faster without compromising quality. For over 30 years he has offered his data processing services to organizations in investment banking, pharma, government and education sectors.

Photo of Ben Larson

Ben Larson

Data Architect / Analytics Consultant

Benjamin has over 15 years of experience working as a data professional in fields including medicine, telecomm, and finance, in roles ranging from data architect to data scientist and analytics consultant. He holds a Ph.D. in Decision Sciences, where his research was focused on rare event detection.

Ratings & Reviews

Average Rating: 4.5 Stars

(80 Reviews)

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