Results for "data engineering on google cloud platform"
Google Cloud
Skills you'll gain: Metadata Management, Data Sharing, Data Pipelines, Extract, Transform, Load, Google Cloud Platform, Data Migration, Data Warehousing, Data Infrastructure, Apache Airflow, Data Processing, Big Data, Data Import/Export, Data Storage, Data Management, IT Automation, Cloud Storage, Apache Spark, Automation
Skills you'll gain: Data Warehousing, Data Flow Diagrams (DFDs), Data Modeling, Data Pipelines, Ansible, Cloud Security, Diagram Design, Data Validation, Database Design, Apache Airflow, Star Schema, Snowflake Schema, Interviewing Skills, Apache Spark, PySpark, CI/CD, Docker (Software), SQL, Workflow Management, Git (Version Control System)
Skills you'll gain: Dashboard Creation, Real Time Data, Data Lakes, Model Deployment, Google Cloud Platform, Feature Engineering, PySpark, Dataflow, Data Pipelines, Cloud Storage, Data Import/Export, Big Data, Apache Spark, Apache Hadoop, Dashboard, Cloud Engineering, Data Architecture, Data Governance, Apache Kafka, Data Warehousing
Skills you'll gain: Ansible, Infrastructure as Code (IaC), Configuration Management, Correlation Analysis, CI/CD, Docker (Software), GitHub, Data Strategy, Collaborative Software, Git (Version Control System), Containerization, Cloud Infrastructure, Data Security, Data Pipelines, Version Control, Continuous Deployment, Continuous Integration, Devops Tools, Kubernetes, Scalability
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Deployment, AI Orchestration, AI Workflows, Generative AI, Google Cloud Platform, Data Modeling, Continuous Monitoring, Data Pipelines, Model Training, Feature Engineering, Model Optimization, DevOps, Agentic Workflows, Generative AI Agents, Data Store, Continuous Deployment, Data Preprocessing, Forecasting
Skills you'll gain: Ansible, Containerization, CI/CD, Docker (Software), Version Control, DevOps, Application Deployment, Devops Tools, Data Pipelines, Development Environment, Continuous Integration, Continuous Deployment, Infrastructure as Code (IaC), Git (Version Control System), Data Infrastructure, Configuration Management, Performance Tuning, Software Versioning, Root Cause Analysis
What brings you to Coursera today?
Google Cloud
Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Application Deployment, Prompt Engineering, Kubernetes, Prompt Engineering Tools, Containerization, Database Architecture and Administration, MySQL, Dataflow, PostgreSQL, Identity and Access Management, Data Migration, Cloud Management, Cloud Security, Cloud Applications, Operational Databases, Data Maintenance, Database Design, Database Management
Skills you'll gain: Dashboard Creation, Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Apache Hadoop, Dashboard, Data Architecture, Data Governance, Apache Kafka, Data Store, Cloud Services, Cloud Deployment, Metadata Management, Data Storage, Data Quality, Data Cleansing, Machine Learning Methods
Google Cloud
Skills you'll gain: Looker (Software), Responsible AI, Data Lakes, Data Storytelling, Data Governance, Gemini, Data Visualization, Dashboard Creation, Dashboard, Interactive Data Visualization, Data Presentation, Data Architecture, Data Pipelines, Data Visualization Software, Data Management, Cloud Infrastructure, Google Gemini, Data Infrastructure, Cloud Storage, Identity and Access Management
Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Kubernetes, Google Cloud Platform, Prometheus (Software), Cloud Management, Cloud Storage, Cloud Computing Architecture, Infrastructure As A Service (IaaS), Cloud-Native Computing, Cloud Development, Application Performance Management, Cloud Computing, Serverless Computing, Cloud Solutions, Terraform, Containerization, Site Reliability Engineering, IT Infrastructure, Network Administration
Skills you'll gain: NoSQL, Operational Databases, Data Migration, Database Administration, Database Architecture and Administration, Relational Databases, PostgreSQL, Database Management, Database Design, SQL, Google Cloud Platform, Data Store, Distributed Computing, MySQL, Database Management Systems, System Configuration, Data Access, Disaster Recovery, System Monitoring, Cloud Deployment
Skills you'll gain: Extract, Transform, Load, Web Scraping, Database Design, SQL, IBM DB2, Database Management, Data Store, Relational Databases, Database Systems, Data Architecture, Data Pipelines, Databases, Big Data, Data Storage Technologies, Unit Testing, Data Storage, Database Development, Python Programming, NumPy, Data Analysis
In summary, here are 10 of our most popular data engineering on google cloud platform courses
- Introduction to Data Engineering on Google Cloud: Google Cloud
- Open source Data Engineering with Spark, dbt & Airflow: Coursera
- Preparing for Google Cloud Certification: Cloud Data Engr: Google Cloud
- Git, Docker & CI/CD: DevOps Foundations for Data Engineers: Coursera
- Machine Learning Operations (MLOps) on Google Cloud: Google Cloud
- DevOps and CI/CD for Data Engineering Performance: Coursera
- Google Cloud Database Engineer: Google Cloud
- Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
- Google Cloud Data Analytics: Google Cloud
- Preparing for Google Cloud Certification: Cloud Engineer: Google Cloud
