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  • Data Engineering On Google Cloud Platform

Results for "data engineering on google cloud platform"


  • G

    Google Cloud

    Introduction to Data Engineering on Google Cloud - Bahasa Indonesia

    Skills you'll gain: Metadata Management, Data Pipelines, Data Migration, Google Cloud Platform, Extract, Transform, Load, Data Lakes, Big Data, Apache Airflow, Data Integration, Cloud API, Data Management, Cloud Storage, Data Transformation, Automation, Serverless Computing

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Mastering Azure Databricks for Data Engineers

    Skills you'll gain: Databricks, CI/CD, Apache Spark, Microsoft Azure, Data Governance, Data Lakes, Data Architecture, Real Time Data, Data Integration, PySpark, Data Pipelines, Data Management, Automation, Data Storage, Jupyter, System Testing, File Systems, Data Quality, User Provisioning, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    25 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free
    Free
    A

    Amazon Web Services

    Data Engineering on AWS - Foundations

    Skills you'll gain: Infrastructure as Code (IaC), Cloud Engineering, Serverless Computing, CI/CD, Data Infrastructure, Amazon Web Services, Data Architecture, AWS Identity and Access Management (IAM), AWS CloudFormation, Infrastructure Architecture, Security Controls, Cloud Applications, Amazon CloudWatch, Terraform

    4.6
    Rating, 4.6 out of 5 stars
    ·
    216 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Machine Learning Engineer

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Responsible AI, Generative AI, Tensorflow, Generative AI Agents, Google Cloud Platform, Dataflow, Keras (Neural Network Library), Data Quality, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Applied Machine Learning, Data Pipelines, Apache Airflow, Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Data Cleansing, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    4.9K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Reliable Google Cloud Infrastructure: Design and Process

    Skills you'll gain: Application Deployment, Cloud Infrastructure, CI/CD, Cloud Security, Service Level Agreement, Microservices, Service Level, Google Cloud Platform, Network Architecture, API Design, Site Reliability Engineering, Cloud Computing Architecture, Kubernetes, Restful API, Cloud Storage, Cloud Computing, Key Performance Indicators (KPIs), DevOps, System Design and Implementation, Disaster Recovery

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.2K reviews

    Advanced · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to Data Engineering on Google Cloud - Español

    Skills you'll gain: Metadata Management, Data Pipelines, Data Processing, Google Cloud Platform, Data Migration, Cloud Storage, Apache Airflow, Data Lakes, Data Storage, Big Data, Data Infrastructure, Extract, Transform, Load, Apache Spark, IT Automation, Data Management, Data Transformation, Serverless Computing, SQL

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to Data Engineering on Google Cloud - Français

    Skills you'll gain: Extract, Transform, Load, Data Sharing, Data Pipelines, Metadata Management, Google Cloud Platform, Data Migration, Data Processing, Big Data, Data Integration, Cloud Storage, Data Warehousing, Data Management, Data Lakes, Data Import/Export, Data Transformation, Apache Spark, Serverless Computing

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to Data Engineering on Google Cloud - 日本語版

    Skills you'll gain: Data Sharing, Extract, Transform, Load, Cloud Storage, Google Cloud Platform, Data Migration, Data Pipelines, Data Import/Export, Big Data, Data Infrastructure, Data Warehousing, Data Storage, Data Processing, Data Management, Metadata Management, Automation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Introduction to Data Engineering

    Skills you'll gain: Data Pipelines, Data Architecture, Requirements Analysis, Amazon Web Services, Data Warehousing, Data Processing, System Requirements, Performance Tuning, Extract, Transform, Load, Security Controls, Cloud Computing, Data Transformation, Scalability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    452 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Engineers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Database Design, ChatGPT, Data Pipelines, Query Languages, Extract, Transform, Load, Responsible AI, Data Warehousing, Data Ethics, Data Infrastructure, AI Product Strategy, Data Architecture, Data Mining, Data Synthesis, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Image Quality, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Architecting with Google Compute Engine

    Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Google Cloud Platform, Prompt Engineering, Application Deployment, Cloud Storage, Kubernetes, Containerization, Infrastructure As A Service (IaaS), Cloud Computing, CI/CD, Cloud-Native Computing, Terraform, Cloud Applications, Cloud Computing Architecture, Cloud Security, Cloud Services, Load Balancing, Service Level Agreement, Infrastructure as Code (IaC)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    58K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineering, Big Data and ML on Google Cloud en Español

    Skills you'll gain: Google Cloud Platform, Dataflow, Data Pipelines, Extract, Transform, Load, Tensorflow, Query Languages, Apache Spark, SQL, Big Data, Applied Machine Learning, MLOps (Machine Learning Operations), Data Processing, Real Time Data, PySpark, Data Import/Export, Unstructured Data, Feature Engineering, Apache Airflow, Looker (Software), Dashboard

    4.7
    Rating, 4.7 out of 5 stars
    ·
    813 reviews

    Intermediate · Specialization · 3 - 6 Months

1234…834

In summary, here are 10 of our most popular data engineering on google cloud platform courses

  • Introduction to Data Engineering on Google Cloud - Bahasa Indonesia: Google Cloud
  • Mastering Azure Databricks for Data Engineers: Packt
  • Data Engineering on AWS - Foundations: Amazon Web Services
  • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
  • Reliable Google Cloud Infrastructure: Design and Process: Google Cloud
  • Introduction to Data Engineering on Google Cloud - Español: Google Cloud
  • Introduction to Data Engineering on Google Cloud - Français: Google Cloud
  • Introduction to Data Engineering on Google Cloud - 日本語版: Google Cloud
  • Introduction to Data Engineering: DeepLearning.AI
  • Generative AI for Data Engineers: IBM

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