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.

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Results for "Data Architecture"

  • Skills you'll gain: NoSQL, Database Administration, Data Warehousing, Bash (Scripting Language), Package and Software Management, SQL, Data Pipelines, Apache Hadoop, Database Architecture and Administration, Database Design, Database Management, Relational Databases, Data Security, Linux Commands, Data Governance, MongoDB, Extract, Transform, Load, Data Migration, Data Architecture, Data Store

  • Amazon Web Services

    Skills you'll gain: Data Lakes, Data Architecture, Interactive Data Visualization, Data Engineering, Data Infrastructure, Data Warehousing, Data Processing, Data Access, Query Languages, Data Management, Data Integration, Data Transformation, Data Governance, Data Cleansing, Data Import/Export, Data Storage, Data Sharing, Data Science, Machine Learning

  • Skills you'll gain: Retrieval-Augmented Generation, AI Enablement, AI Security, Responsible AI, Agentic Workflows, Agentic systems, Enterprise Architecture, Generative Model Architectures, Generative AI Agents, Generative AI, AI Personalization, AI Integrations, Retail Management, Information Technology Architecture, Data Architecture, Inventory and Warehousing, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Database Architecture and Administration

  • Skills you'll gain: Extract, Transform, Load, Data Architecture, Enterprise Architecture, Data Migration, Data Modeling, Database Architecture and Administration, Enterprise Modeling, Data Management, Data Processing, Data Storage, Data Governance, Data Integration, Software Architecture, Application Frameworks, Data Transformation, Emerging Technologies

  • Skills you'll gain: Star Schema, Snowflake Schema, Data Lakes, Data Warehousing, CI/CD, Database Design, Microsoft Azure, Power BI, Data Governance, Continuous Integration, Real Time Data, Data Pipelines, Microsoft Copilot, Transaction Processing, Data Architecture, Model Optimization, Transact-SQL, Enterprise Architecture, SQL, Cloud Infrastructure

  • Skills you'll gain: Data Lakes, Data Pipelines, Data Integration, Apache Airflow, Performance Tuning, Data Security, Data Architecture, Data Transformation, Apache Spark, Disaster Recovery, Data Warehousing, Cloud Infrastructure, SQL, Infrastructure as Code (IaC), Database Architecture and Administration, PySpark, Terraform, Extract, Transform, Load, Cloud Computing, Data Governance

  • Skills you'll gain: Data Lakes, Apache Spark, Databricks, Data Pipelines, PySpark, Business Intelligence, Data Warehousing, Data Architecture, Performance Tuning, Data Governance, Transaction Processing, GitHub, Dashboard, Version Control, Data Integration, Data Transformation, Data Cleansing, Analytics, Git (Version Control System), Scalability

  • Skills you'll gain: Data Engineering, Snowflake Schema, Data Pipelines, Retrieval-Augmented Generation, Generative AI, Model Deployment, Data Architecture, Responsible AI, Embeddings, Data Transformation, Data Processing, Data Governance, Data Management, Data Quality, Business Logic, SQL, Data Collection, Data Entry, Data Security, Python Programming

  • Skills you'll gain: Data Security, Data Governance, Extract, Transform, Load, Data Migration, Data Integration, Data Architecture, Data Management, Data Storage, Enterprise Architecture, Data Storage Technologies, Data Lakes, Data Quality, Data Modeling, Incident Response, Security Controls, Information Privacy, Data Centers, Security Strategy, Database Architecture and Administration, Threat Management

  • Skills you'll gain: PySpark, Model Optimization, Data Pipelines, Dashboard Creation, Dashboard, Interactive Data Visualization, Model Training, Data Processing, Data Storage Technologies, Data Architecture, Natural Language Processing, Machine Learning Methods, Data Storage, Data Wrangling, Data Integration, Data Transformation, Machine Learning, Deep Learning

  • Skills you'll gain: Data Architecture, Data Lakes, Enterprise Architecture, Data Warehousing, Data Integration, Virtualization, Cloud Storage, Metadata Management, Data Storage, Data Transformation, Scalability

  • Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Generative Model Architectures, Prompt Engineering Tools, Database Design, ChatGPT, AI literacy, Multimodal Prompts, Data Pipelines, Query Languages, Extract, Transform, Load, AI powered creativity, Responsible AI, LLM Application, Data Warehousing, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Data Infrastructure, Data Architecture