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
Status: Free TrialSkills 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
Status: NewStatus: Free TrialSkills 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
Status: NewStatus: Free TrialSkills 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)
Status: Free TrialGoogle 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
Status: Free TrialSkills 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
What brings you to Coursera today?
Status: Free TrialStatus: AI skillsGoogle 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
Status: NewStatus: Free TrialSkills 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
Status: Free TrialSkills 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
Status: Free TrialSkills 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
Status: Free TrialSkills you'll gain: Databricks, CI/CD, Apache Spark, Microsoft Azure, Data Governance, Data Lakes, Data Architecture, Integration Testing, Continuous Integration, Continuous Deployment, Data Infrastructure, Real Time Data, Data Integration, Data Pipelines, Development Environment, Data Management, Data Processing, Automation, Data Storage, File Systems
Status: NewStatus: Free TrialSkills 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
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
- Preparing for Google Cloud Certification: Cloud Data Engr: Google Cloud
- Git, Docker & CI/CD: DevOps Foundations for Data Engineers: Coursera
- Open source Data Engineering with Spark, dbt & Airflow: Coursera
- Google Cloud Database Engineer: Google Cloud
- Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
- Google Cloud Data Analytics: Google Cloud
- Exam Prep: Google Cloud Professional Cloud Database Engineer: Whizlabs
- Data Engineering Foundations: IBM
- Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
