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  • Data Engineering With Gcp

Results for "data engineering with gcp"


  • Status: Free Trial
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    I

    IBM

    Python Project for Data Engineering

    Skills you'll gain: Web Scraping, Data Transformation, Extract, Transform, Load, Data Manipulation, SQL, Integrated Development Environments, Data Processing, Databases, Application Programming Interface (API), Code Review, Restful API, Python Programming, Unit Testing, Style Guides

    4.6
    Rating, 4.6 out of 5 stars
    ·
    813 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Cloud Data Engineering

    Skills you'll gain: Software Engineering, Distributed Computing, Extract, Transform, Load, Google Cloud Platform, Big Data, Cloud Computing, Serverless Computing, Cloud Technologies, Data Pipelines, Amazon S3, Command-Line Interface, Continuous Integration, Python Programming, Data Governance, NumPy, Rust (Programming Language)

    4.1
    Rating, 4.1 out of 5 stars
    ·
    89 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, ChatGPT, Generative AI, Database Design, 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, Data Analysis, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Google Cloud Database Engineer

    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 Storage, Data Migration, Cloud Management, Cloud Security, Cloud Applications, Operational Databases, Database Design, Database Management

    4.7
    Rating, 4.7 out of 5 stars
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    49K reviews

    Intermediate · Specialization · 3 - 6 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
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    216 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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, Data Lakes, Data Pipelines, Dataflow, Tensorflow, Query Languages, Apache Spark, Data Warehousing, SQL, Unstructured Data, Data Architecture, Big Data, Applied Machine Learning, Data Processing, Data Infrastructure, Real Time Data, Extract, Transform, Load, MLOps (Machine Learning Operations), PySpark, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    813 reviews

    Intermediate · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Introduction to Data Engineering on Google Cloud

    Skills you'll gain: Metadata Management, Data Sharing, Data Pipelines, Extract, Transform, Load, Cloud Engineering, Google Cloud Platform, Data Migration, Data Warehousing, Apache Airflow, Data Processing, Big Data, Data Storage, Data Management, Apache Spark, Automation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Data Engineering: Pipelines, ETL, Hadoop

    Skills you'll gain: Data Pipelines, Apache Hadoop, Extract, Transform, Load, Data Transformation, Apache Hive, Data Strategy, Big Data, Data Warehousing, Strategic Decision-Making, Apache Spark, Data Integration, Data Processing, Data Migration, Business Analytics, Data Management, Data Quality, Data Analysis, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineer, Big Data and ML on Google Cloud em Português

    Skills you'll gain: Dataflow, Real Time Data, Data Pipelines, Data Lakes, Google Cloud Platform, Data Import/Export, Data Governance, Operational Databases, Tensorflow, Feature Engineering, Dashboard, Data Architecture, Apache Spark, Extract, Transform, Load, Data Warehousing, Data Infrastructure, Big Data, MLOps (Machine Learning Operations), Metadata Management, Data Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    124 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineering, Big Data and ML on Google Cloud 日本語版

    Skills you'll gain: Dataflow, Tensorflow, Google Cloud Platform, Data Import/Export, Feature Engineering, Data Pipelines, Real Time Data, Unstructured Data, Applied Machine Learning, Apache Spark, Dashboard, Cloud Storage, Big Data, Data Warehousing, Data Lakes, Cloud Engineering, PySpark, MLOps (Machine Learning Operations), Cloud Development, Cloud Infrastructure

    4.4
    Rating, 4.4 out of 5 stars
    ·
    289 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineer, Big Data and ML on Google Cloud en Français

    Skills you'll gain: Dataflow, Google Cloud Platform, Real Time Data, Apache Kafka, Data Import/Export, Data Pipelines, Looker (Software), Data Lakes, PySpark, Tensorflow, Apache Spark, Dashboard, Extract, Transform, Load, Unstructured Data, Big Data, Cloud Infrastructure, Data Warehousing, Feature Engineering, Data Architecture, Applied Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    58 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Elevate your Data Engineering Career

    Skills you'll gain: Generative AI, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, Responsible AI, Data Warehousing, Data Ethics, Data Infrastructure, Data Architecture, Data Mining, Data Synthesis, Data Analysis, Artificial Intelligence, Data Quality

    4.6
    Rating, 4.6 out of 5 stars
    ·
    45 reviews

    Intermediate · Course · 1 - 4 Weeks

1234…834

In summary, here are 10 of our most popular data engineering with gcp courses

  • Python Project for Data Engineering: IBM
  • Cloud Data Engineering: Duke University
  • Generative AI for Data Engineers: IBM
  • Google Cloud Database Engineer: Google Cloud
  • Data Engineering on AWS - Foundations: Amazon Web Services
  • Data Engineering, Big Data and ML on Google Cloud en Español: Google Cloud
  • Introduction to Data Engineering on Google Cloud: Google Cloud
  • Data Engineering: Pipelines, ETL, Hadoop: Coursera
  • Data Engineer, Big Data and ML on Google Cloud em Português: Google Cloud
  • Data Engineering, Big Data and ML on Google Cloud 日本語版: Google Cloud

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