Results for "data engineering on google cloud platform"
Status: Free TrialGoogle Cloud
Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Application Deployment, Prompt Engineering, Kubernetes, Containerization, Database Architecture and Administration, MySQL, Cloud Computing Architecture, Dataflow, PostgreSQL, Identity and Access Management, Cloud Deployment, Data Migration, Cloud Management, Cloud Security, Cloud Applications, Operational Databases, Database Design, Database Management
Status: Free TrialSkills you'll gain: Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Dashboard, Data Architecture, Data Governance, Apache Kafka, Cloud Deployment, Apache Hadoop, Metadata Management, Data Storage, Apache Hive, Application Programming Interface (API), Data Quality, Data Cleansing, Applied Machine Learning, Cloud Services
Status: Free TrialSkills you'll gain: Real Time Data, Data Lakes, Model Deployment, Google Cloud Platform, Feature Engineering, PySpark, Data Pipelines, Cloud Storage, Data Import/Export, Dataflow, Big Data, Apache Spark, Apache Hadoop, Dashboard, Data Architecture, Data Governance, Apache Kafka, Data Infrastructure, Tensorflow, Data Warehousing
Status: Free TrialSkills you'll gain: Model Deployment, Google Cloud Platform, Data Lakes, Data Pipelines, Dataflow, Big Data, Tensorflow, Extract, Transform, Load, Real Time Data, Data Architecture, Data Warehousing, Apache Spark, Data Processing, Data Integration, Unstructured Data, Apache Hadoop, Data Security, Applied Machine Learning, Data Quality, MLOps (Machine Learning Operations)
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 Management, Information Management, Cloud Storage, Apache Spark, Automation
Status: Free TrialSkills you'll gain: Model Deployment, Dataflow, Data Pipelines, Google Cloud Platform, Real Time Data, Data Lakes, Data Import/Export, PySpark, Apache Kafka, Tensorflow, Data Governance, Apache Spark, Dashboard, Data Warehousing, Extract, Transform, Load, Big Data, Unstructured Data, Data Integration, Metadata Management, Feature Engineering
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, Google Gemini, Data Visualization, Dashboard, Data Architecture, Data Pipelines, Data Visualization Software, Data Management, Cloud Infrastructure, Generative AI, Data Cleansing, Gemini, Cloud Storage, Data Transformation, Identity and Access Management, Data Literacy
Status: Free TrialSkills you'll gain: Databricks, CI/CD, Apache Spark, Microsoft Azure, Data Governance, Data Lakes, Data Architecture, Integration Testing, Real Time Data, Data Integration, PySpark, Data Pipelines, Data Management, Automation, Data Storage, Jupyter, File Systems, Development Testing, Data Processing, Data Quality
Status: Free TrialSkills you'll gain: Model Deployment, Data Pipelines, Real Time Data, Google Cloud Platform, Dataflow, Tensorflow, Data Preprocessing, Data Import/Export, Data Governance, Big Data, Feature Engineering, Data Lakes, Dashboard, Extract, Transform, Load, Apache Spark, Data Warehousing, Unstructured Data, Metadata Management, MLOps (Machine Learning Operations), Data Management
Status: NewStatus: Free TrialSkills you'll gain: Disaster Recovery, Terraform, Infrastructure as Code (IaC), Business Continuity Planning, Capacity Management, Business Continuity, Data Infrastructure, Data Warehousing, Cost Management, Performance Analysis, Data Architecture, Benchmarking, IT Infrastructure, Cloud Deployment, AWS CloudFormation, Cloud Computing Architecture, Automation
Status: Free TrialGoogle Cloud
Skills you'll gain: Google Cloud Platform, Data Lakes, Data Pipelines, Data Infrastructure, Real Time Data, Data Architecture, Apache Kafka, MLOps (Machine Learning Operations), Dataflow, Apache Spark, Tensorflow, Data Governance, Model Deployment, Data Migration, Data Processing, Big Data, Unstructured Data, Data Warehousing, Extract, Transform, Load, Data Quality
Status: Free TrialSkills you'll gain: Google Cloud Platform, Dataflow, Data Lakes, Data Pipelines, Feature Engineering, Data Infrastructure, Real Time Data, Tensorflow, Data Architecture, Data Warehousing, Apache Kafka, Apache Spark, Dashboard, Data Governance, Model Deployment, Big Data, Data Migration, Serverless Computing, Applied Machine Learning, Cloud Deployment
What brings you to Coursera today?
In summary, here are 10 of our most popular data engineering on google cloud platform courses
- Google Cloud Database Engineer: Google Cloud
- Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
- Preparing for Google Cloud Certification: Cloud Data Engr: Google Cloud
- Data Engineering, Big Data and ML on Google Cloud en Español: Google Cloud
- Introduction to Data Engineering on Google Cloud: Google Cloud
- Data Engineer, Big Data and ML on Google Cloud en Français: Google Cloud
- Google Cloud Data Analytics: Google Cloud
- Mastering Azure Databricks for Data Engineers: Packt
- Data Engineer, Big Data and ML on Google Cloud em Português: Google Cloud
- Engineer Cloud Data for Resiliency & ROI: Coursera
