Data Architecture

Data Architecture is a set of rules, policies, standards and models that govern and define the type of data collected, and how it is used, stored, managed and integrated within an organization and its database systems. Coursera's Data Architecture catalogue imparts knowledge about the strategic planning and design of data models, the management of data and its lifecycle, and the principles of data governance. You'll learn to design effective data architectures, understand and implement data warehousing, and manage big data infrastructures. You'll also gain insights into data security, data integration and system optimization, enabling you to master the tools and techniques needed to excel as a data architect, data engineer, or in any data-centric role.
26credentials
87courses

Explore the Data Architecture Course Catalog

  • Status: Preview

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Infrastructure, Machine Learning, Systems Design, Data Processing, Data Pipelines, Data Architecture, Big Data, Cloud Engineering, Data Visualization, Cloud Security, Data Storage, Scalability

  • Status: Free Trial

    Skills you'll gain: Data Warehousing, Extract, Transform, Load, IBM Cognos Analytics, Database Design, Data Transformation, Data Mart, Star Schema, Data Modeling, MySQL, Dashboard, Data Architecture, Data Pipelines, PostgreSQL, Statistical Reporting, IT Automation, SQL

  • Status: Preview

    Skills you'll gain: Data Lakes, Data Warehousing, Data Pipelines, Data Infrastructure, Data Architecture, Cloud Engineering, Cloud Storage, Google Cloud Platform, Data Storage, Big Data, Data Storage Technologies, Data Processing, Database Design, SQL

  • Status: Free Trial

    Skills you'll gain: Apache Spark, Data Warehousing, Extract, Transform, Load, IBM DB2, IBM Cognos Analytics, Big Data, Databases, PostgreSQL, Relational Databases, Data Infrastructure, Data Architecture, NoSQL, Data Pipelines, Applied Machine Learning, MongoDB, SQL, MySQL, Data Analysis, Dashboard, Python Programming

  • Status: Preview

    Skills you'll gain: SQL, Data Management, Databases, Apache Spark, Data Architecture, Data Processing

  • Skills you'll gain: Identity and Access Management, SQL, Data Integration, Google Cloud Platform, Data Warehousing, Database Design, Data Processing, Database Architecture and Administration, Data Architecture, Data Modeling, Real Time Data

  • Status: Free

    Amazon Web Services

    Skills you'll gain: Amazon Web Services, Data Processing, Amazon S3, Data Cleansing, Extract, Transform, Load, Data Architecture, Data Pipelines, Data Integration

  • Status: Free Trial

    Skills you'll gain: Spatial Analysis, NoSQL, Spatial Data Analysis, Geospatial Mapping, Geographic Information Systems, Public Cloud, Big Data, MongoDB, Apache Hadoop, Apache Spark, Distributed Computing, Data Architecture, Cloud Services, Data Processing, Database Systems, Cloud Computing, Scalability, Databases, Environmental Monitoring, Climate Change Programs

  • Status: Free Trial

    Skills you'll gain: Data Integration, Microsoft Azure, Authorization (Computing), Azure Active Directory, Event-Driven Programming, Cloud Infrastructure, Authentications, Cloud Storage, Disaster Recovery, Data Architecture, Cloud Computing Architecture, Database Design, Cloud Security, Data Infrastructure, Event Monitoring, Role-Based Access Control (RBAC), Application Design, Application Deployment, Solution Architecture, Identity and Access Management

  • Skills you'll gain: Redis, Performance Tuning, Scalability, Google Cloud Platform, Servers, Data Architecture, Network Architecture, Data Analysis

  • Status: Free Trial

    Skills you'll gain: Database Management Systems, NoSQL, Database Design, Databases, Database Architecture and Administration, Database Management, Generative AI, Data Architecture, AI Personalization, Large Language Modeling, Data Storage Technologies, Scalability

  • Status: Free Trial

    Skills you'll gain: Databricks, CI/CD, Microsoft Azure, Data Architecture, Data Pipelines, Data Integration, Data Security, Automation, Data Storage, System Testing, Command-Line Interface