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  • Cloud Dataflow

Results for "cloud dataflow"


  • G

    Google Cloud

    Introduction to Cloud Dataproc: Hadoop and Spark on Google Cloud

    Skills you'll gain: Apache Spark, Managed Services, Google Cloud Platform, Big Data, Apache Hadoop, Data Management

    4
    Rating, 4 out of 5 stars
    ·
    11 reviews

    Beginner · Project · Less Than 2 Hours

  • G

    Google Cloud

    Getting Started with Cloud Data Fusion

    Skills you'll gain: Data Pipelines, Google Cloud Platform, Cloud-Based Integration, Data Transformation, Data Integration, Big Data, Data Management

    3.8
    Rating, 3.8 out of 5 stars
    ·
    6 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

    Skills you'll gain: Big Data, Apache Spark, Apache Hadoop, Apache Mahout, Distributed Computing, Data Storage, Data Processing, NoSQL, Apache Kafka, Cloud Computing, Real Time Data, Databases, Analytics, Deep Learning, Scalability, Machine Learning Algorithms, Graph Theory, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    342 reviews

    Mixed · Course · 1 - 3 Months

  • G

    Google Cloud

    Dataproc: Qwik Start - Command Line

    Skills you'll gain: Apache Spark, Google Cloud Platform, Data Processing, Apache Hadoop, Big Data, Cloud Computing, Scalability

    Beginner · Project · Less Than 2 Hours

  • G

    Google Cloud

    Cloud Composer: Copying BigQuery Tables Across Different Locations

    Skills you'll gain: Data Import/Export, Apache Airflow, Cloud Storage, Data Migration, Google Cloud Platform, Data Pipelines, Configuration Management

    Intermediate · Project · Less Than 2 Hours

  • G

    Google Cloud

    Google Kubernetes Engine Pipeline using Cloud Build

    Skills you'll gain: CI/CD, Kubernetes, Continuous Deployment, Continuous Integration, Google Cloud Platform, Test Automation, Containerization, Cloud Development, Git (Version Control System)

    Intermediate · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    G

    Google Cloud

    ML Pipelines on Google Cloud - Français

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, CI/CD, Apache Airflow, Tensorflow, Data Pipelines, Kubernetes, Model Deployment, AI Orchestration, Metadata Management, AI Workflows, Model Evaluation, Containerization, Scalability

    Advanced · Course · 1 - 3 Months

  • G

    Google Cloud

    Google Cloud에서 일괄 데이터 파이프라인 빌드하기

    Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Workflow Management, Data Warehousing, Extract, Transform, Load, Data Integration, Data Quality, Data Validation, Performance Tuning, Operational Efficiency, Apache Spark, Big Data, Data Transformation, Serverless Computing, Scheduling, System Monitoring, Resource Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    ML Pipelines on Google Cloud - Português

    Skills you'll gain: CI/CD, MLOps (Machine Learning Operations), Google Cloud Platform, Data Pipelines, Model Deployment, Tensorflow, Metadata Management, AI Orchestration, Containerization

    Advanced · Course · 1 - 3 Months

  • G

    Google Cloud

    Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh

    Skills you'll gain: Cloud Computing, Model Deployment, Cloud Deployment, Istio, Tensorflow, Google Cloud Platform, MLOps (Machine Learning Operations), Kubernetes, Continuous Deployment, Microservices, Load Balancing

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Créer des pipelines de données en batch sur Google Cloud

    Skills you'll gain: Data Pipelines, Data Warehousing, Extract, Transform, Load, Data Integration, Google Cloud Platform, Data Quality, Data Validation, Data Processing, Apache Spark, Data Transformation, Database Management, Scalability, Event Monitoring, Serverless Computing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    ML Pipelines on Google Cloud - 한국어

    Skills you'll gain: CI/CD, Apache Airflow, Data Pipelines, MLOps (Machine Learning Operations), Google Cloud Platform, Tensorflow, Continuous Integration, Kubernetes, Metadata Management, Machine Learning Methods, Continuous Deployment, AI Orchestration, Model Deployment, AI Workflows, Applied Machine Learning, Model Evaluation, Containerization, Cloud Storage, Data Validation

    Advanced · Course · 1 - 3 Months

1…678…375

In summary, here are 10 of our most popular cloud dataflow courses

  • Introduction to Cloud Dataproc: Hadoop and Spark on Google Cloud: Google Cloud
  • Getting Started with Cloud Data Fusion: Google Cloud
  • Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud: University of Illinois Urbana-Champaign
  • Dataproc: Qwik Start - Command Line: Google Cloud
  • Cloud Composer: Copying BigQuery Tables Across Different Locations: Google Cloud
  • Google Kubernetes Engine Pipeline using Cloud Build: Google Cloud
  • ML Pipelines on Google Cloud - Français: Google Cloud
  • Google Cloud에서 일괄 데이터 파이프라인 빌드하기: Google Cloud
  • ML Pipelines on Google Cloud - Português: Google Cloud
  • Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh: Google Cloud

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