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, SQL, Data Pipelines, Apache Hadoop, Database Architecture and Administration, Database Design, Database Management, Relational Databases, Data Security, Linux Commands, Data Migration, Data Governance, MongoDB, Apache Spark, Apache Kafka, Extract, Transform, Load, Data Architecture, Data Store

  • 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

  • Status: New

    Skills you'll gain: Snowflake Schema, Marketing Effectiveness, Key Performance Indicators (KPIs), Star Schema, Performance Reporting, Data-Driven Marketing, Marketing Analytics, Data Modeling, Business Reporting, Management Reporting, Conversion Funnel Analysis, Performance Measurement, Dashboard, Database Design, Business Metrics, Performance Metric, Business Intelligence, Relational Databases, Data Architecture, SQL

  • Status: New

    Skills you'll gain: Data Lakes, Data Warehousing, Data Pipelines, Data Architecture, Star Schema, Microsoft Azure, Dataflow, Extract, Transform, Load, Dependency Analysis, Transaction Processing, Transact-SQL, Change Control, PySpark, Capacity Management, Information Management, Microsoft Power Platform, Data Quality, Apache Spark, Power BI, Operational Databases

  • 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

  • Status: New

    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 Security, Data Migration, Data Governance, Extract, Transform, Load, Cloud Storage, Data Architecture, Data Management, Data Integration, Data Storage, Enterprise Architecture, Data Quality, Data Modeling, Incident Response, Security Controls, Information Privacy, Data Infrastructure, Data Storage Technologies, Security Strategy, Database Architecture and Administration, Threat Management

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

  • Status: New

    Skills you'll gain: Feature Engineering, Databricks, Data Engineering, PySpark, Data Lakes, Apache Airflow, Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), Data Architecture, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Data Management, Data Storage, Python Programming, Artificial Intelligence, Machine Learning, SQL, Machine Learning Algorithms, Warehouse Management

  • Skills you'll gain: Data Analysis Expressions (DAX), Data Ethics, Data Modeling, Data Governance, Data Architecture, Database Design, Power BI, Data Management, General Data Protection Regulation (GDPR), Star Schema, Personally Identifiable Information, Information Privacy, Data Synthesis, Data Visualization Software, Data Security, Data Integrity, Snowflake Schema, Relational Databases, Data Quality, Extract, Transform, Load

  • Skills you'll gain: Data Store, Data Architecture, Apache Hadoop, Extract, Transform, Load, Relational Databases, Big Data, Data Storage, Databases, Operational Databases, Apache Spark, Data Storage Technologies, Data Lakes, Data Warehousing, Data Governance, Data Pipelines, Data Integration, Data Processing, SQL, NoSQL, Data Science

  • Status: New

    Skills you'll gain: Star Schema, Data Infrastructure, Data Governance, Data Modeling, Data Strategy, Data Architecture, Data Migration, Database Design, Correlation Analysis, Stored Procedure, Data Pipelines, Data Lakes, Infrastructure as Code (IaC), Data Validation, Disaster Recovery, Role-Based Access Control (RBAC), Compliance Auditing, CI/CD, Resource Management, Performance Management