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
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: 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: 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: 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: 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
What brings you to Coursera today?
Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Model Optimization, Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Generative AI Agents, Google Gemini, Model Training, Dataflow, Big Data, Keras (Neural Network Library), Machine Learning, Generative Model Architectures, Data Preprocessing, Machine Learning Software, CI/CD, Machine Learning Methods, Cloud Computing
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, IT Automation, Root Cause Analysis
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
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: Site Reliability Engineering, Kubernetes, Google Cloud Platform, Cloud Infrastructure, Prompt Engineering, Application Deployment, Identity and Access Management, Prompt Engineering Tools, Cloud Deployment, Prompt Patterns, CI/CD, Containerization, Cloud Platforms, Cloud Storage, Cloud Security, Continuous Delivery, Safety Culture, Culture Transformation, Data Access, Dashboard Creation
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
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
- Google Cloud Database Engineer: Google Cloud
- Git, Docker & CI/CD: DevOps Foundations for Data Engineers: Coursera
- Open source Data Engineering with Spark, dbt & Airflow: Coursera
- Machine Learning Operations (MLOps) on Google Cloud: Google Cloud
- Preparing for Google Cloud Certification: Cloud Data Engr: Google Cloud
- Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
- DevOps and CI/CD for Data Engineering Performance: Coursera
- Data Engineering Foundations: IBM
- Google Cloud Data Analytics: Google Cloud
