Results for "data engineering on google cloud platform"
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 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: 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 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
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, Google Cloud Platform, Dataflow, Data Lakes, Data Pipelines, Big Data, Extract, Transform, Load, Real Time Data, Data Architecture, Tensorflow, Query Languages, Data Warehousing, Apache Spark, Data Migration, Data Processing, SQL, Data Integration, Unstructured Data, Apache Hadoop, Data Security
What brings you to Coursera today?
Status: Free TrialSkills you'll gain: Model Deployment, Dataflow, Data Lakes, Data Pipelines, Google Cloud Platform, Real Time Data, PySpark, Tensorflow, Dashboard, Data Governance, Apache Spark, Data Warehousing, Apache Kafka, Data Import/Export, Data Architecture, Data Processing, Extract, Transform, Load, Data Integration, Big Data, Unstructured Data
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: Data Store, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Apache Hadoop, Relational Databases, Apache Spark, Data Lakes, Databases, SQL, NoSQL, Data Security, Data Science
Status: Free TrialSkills you'll gain: Google Cloud Platform, Tensorflow, Dataflow, Data Import/Export, Data Pipelines, Feature Engineering, Data Lakes, Real Time Data, Unstructured Data, Data Governance, Applied Machine Learning, Apache Kafka, Model Deployment, Data Warehousing, Apache Spark, Dashboard, Data Infrastructure, Data Architecture, Big Data, Extract, Transform, Load
Status: Free TrialSkills you'll gain: Extract, Transform, Load, Web Scraping, Database Design, SQL, Data Store, Database Management, IBM DB2, Relational Databases, Data Architecture, Data Pipelines, Big Data, Databases, Unit Testing, Data Warehousing, Data Governance, MySQL, Stored Procedure, Data Import/Export, Programming Principles, Python Programming
Status: NewStatus: Free TrialSkills you'll gain: Disaster Recovery, Terraform, Infrastructure as Code (IaC), Business Continuity Planning, Business Continuity, Data Infrastructure, Data Warehousing, Cost Management, Performance Analysis, Data Architecture, Benchmarking, IT Infrastructure, Capacity Planning, AWS CloudFormation, Cloud Computing Architecture
In summary, here are 10 of our most popular data engineering on google cloud platform courses
- Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
- Google Cloud Database Engineer: Google Cloud
- Preparing for Google Cloud Certification: Cloud Data Engr: Google Cloud
- Google Cloud Data Analytics: Google Cloud
- Introduction to Data Engineering on Google Cloud: Google Cloud
- Data Engineering, Big Data and ML on Google Cloud en Español: Google Cloud
- Data Engineer, Big Data and ML on Google Cloud en Français: Google Cloud
- Mastering Azure Databricks for Data Engineers: Packt
- Introduction to Data Engineering: IBM
- Data Engineering, Big Data and ML on Google Cloud 日本語版: Google Cloud
