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GCP Cloud Data Engineer Training

Become an expert in cloud data engineering by mastering GCP’s cutting-edge tools and technologies through our GCP Cloud Data Engineer Training.

Build the skills necessary for designing, building, and maintaining cloud-based data solutions that meet real-world demands.

  • Master 13+ GCP advanced tools with 15+ soft skills.
  • Practical expertise through hands-on projects simulating real-world scenarios.
  • Leverage an intuitive LMS with updated GCP technologies.
  • Benefit mentorship from industry professionals guiding every step of the way.
  • Receive career support, including job placement assistance, resume building, and interview coaching.

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GCP Cloud Data Engineer Course Upcoming Batches

Date:

15th, 25th Nov

Time

08:30 AM to 09:30 AM

Program Duration:

45 Days

Learning Format:

Training

Course Curriculum

India’s #1 Software Training Institute

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Master in GCP Cloud Data Engineer Overview

- Master 13+ GCP advanced tools with 15+ soft skills.
- Practical expertise through hands-on projects simulating real-world scenarios.
- Leverage an intuitive LMS with updated GCP technologies.
- Benefit mentorship from industry professionals guiding every step of the way.
- Receive career support, including job placement assistance, resume building, and interview coaching.

KEY HIGHLIGHTS

Collaborative and engaging learning environment.

A blended curriculum of foundational knowledge with advanced real-world applications.

Hands-on projects using the latest GCP tools to solve data engineering challenges.

Real-world case studies to help you design efficient scalable data solutions.

GCP Google Data Engineer Training Overview

Comprehensive Training

GCP Cloud Data Engineer Course Key Features

Skills Covered

Training Skills

Offered Programs

Exclusive Training

JOB ORIENTED INTENSIVE PROGRAM (JOIP)​

Pre Requisites

The GCP Cloud Data Engineer Training at Quality Thought is perfect for anyone aiming to break into or advance within the field of cloud data engineering. A background in databases or cloud computing is not mandatory but can be beneficial.

Course Curriculum

  • Introduction to Cloud Computing
  • Roles and Responsibilities of Cloud Data Engineer
  • Overview of Cloud Platforms
  • Overview of Google Cloud Platform
  • Overview of Analytics Services on GCP
  • Setup GCP for individual Account
  • Overview of GCP Project & GCP Credits & Billing
  • How to access GCP services with Google Cloud Shell
  • How to access GCP services with Google Cloud SDK
    • Introduction to Google BigQuery
    • Overview of CRUD Operations in Google BigQuery
    • Merge/Upsert operations into Google BigQuery Tables
    • DB operations in Google BigQuery using Ul
    • Create Table in Google BigQuery using Command
    • Overview of Loading Data from Files into BigQuery Tables
    • Execution Plan of BigQuery
    • Partitioned tables in Bigquery
    • Clusterd tables in Bigquery
    • Google BigQuery External Tables
    • External Queries/External Connections on Google BigQuery
    • Integration between Google BigQuery and Python
    • SQL operations in Google BigQuery [Basics to Advanced]
    • Pandas Integration with Google BigQuery
    • Postgres DB integrations with BigQuery
    • Views & Materialized Views
  • Introduction to Google Cloud Storage
  • Create/Delete/Upload Buckets, Folders, Files using GCS Web Ul
  • Create/Delete/Upload Buckets, Folders, Files using gsutil commands
  • Create/Delete/Upload Buckets, Folders, Files using Python
  • Setup Google Cloud Libraries in Python Virtual Environment
  • Handling multiple files in GCS using Python
  • Data Processing in GCS using Pandas
  • Data conversions and Write to GCS using Pandas
  • Validate Files in GCS using Python & gsutil & Pandas
  • Introduction to GCP Cloud SQL
  • Setup Postgres DB using GCP Cloud SQL
  • DB operations in GCP Cloud SQL with Postgress
  • Integration of GCP Cloud SQL Postgres with Python
  • Integration of GCP Cloud SQL Postgres with Pandas
  • Introduction to GCP Dataproc
  • Setup Dataproc Cluster for Development
  • Overview of HDFS Commands & gsutil on Dataproc
  • Handling Local Files in HDFS on Dataproc
  • Handling GCS Files in HDFS on Dataproc
  • CLI connectivity in Dataproc Cluster using Pyspark/Spark Scala/Spark SQL
  • ETL Datapipeline creation using GCP Dataproc
  • GCP Dataproc Jobs using Spark SQL & Scripts
  • GCP Dataproc Workflow
  • Dataproc Jobs/Workflows handling with gcloud Commands
  • Run and Validate ELT Data Pipeline using Dataproc
  • Introduction to Databicks on GCP
  • Setup Databricks on GCP
  • Databricks Architecture
  • Setup Databricks CLI and run Commands
  • Data Operations in DBFS using Databricks Spark SQL
  • Build ELT Pipeline using Databricks Job in Workflows
  • Databricks Workflows
  • Create and Run Orchestrated
  • Pipeline using Databricks Job
  • Review Execution details of ELT Data Pipeline using Databricks Job
  • Introduction to Google Cloud Composer
  • Setup Airflow or Cloud Composer Environment
  • Overview of Airflow Architecture
  • Airflow DAGs for Cloud Composer
  • Deploy and Run First Airflow DAG in Google Cloud Composer
  • Run Airflow Commands in Cloud Composer using gcloud
  • Integration of GCP Dataproc Workflow using Airflow
  • Deploy and Run GCP Dataproc Workflow using Airflow
  • Deploy and Run Airflow DAGs with Variables
  • Deploy Data Pipeline or Airflow DAG using Dataproc Jobs
  • Deploy and Run Airflow DAG with Dataproc Jobs
  • Review Spark Google BigQuery Connector
  • Spark on Dataproc and BigQuery using Pyspark CLI
  • Spark on Dataproc and BigQuery using Notebook
  • Spark Application Code to Write to BigQuery Table
  • Spark Application sybmit with BigQuery Integration using Client Mode
  • Spark Application sybmit with BigQuery Integration using Cluster Mode
  • Spark Application deployment with BigQuery Integration in GCS
  • Run Spark Application as Dataproc Job using Web Ul
  • Run Spark Application as Dataproc Job by using Commands
  • Review Dataproc Jobs and Spark Application using Dataproc Ul
  • Introduction to Google BigTable
  • Integration between Pyspark and Bigtable
  • Recently Placed Students

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    Why Choose Quality Thought

    100% Success Rates in the Placement for Skilled People

    A gate way to your🤔 Bright Future in the IT industry

    Connect with us for Life-changing opportunities

    Testimonials

    The GCP Cloud Data Engineer Training at Quality Thought was a game changer for me. I learned the practical skills needed to build scalable data pipelines, and the career support helped me secure a job in just a few months

    – Aisha

    I was new to cloud computing, but this GCP Cloud Data Engineer Training at Quality Thought made it easy to grasp complex concepts. The mentors were fantastic, and the hands-on projects gave me confidence in my abilities

    – Mohsin

    The real-world case studies and expert guidance in the GCP Cloud Data Engineer Training were invaluable. I now feel fully prepared to handle cloud-based data challenges in my role.

    – Sachin

    This GCP Cloud Data Engineer Training of Quality Thought helped me pivot my career into cloud data engineering. The tools, projects, and career support exceeded my expectations!

    – Kirat

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    Key Facts Of Quality Thought

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    50000+ Students Trained

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    Training by Realtime Industry Experts

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    Educated 15+ BPO & Back Office/Ops on IT Trends

    Frequently asked questions

    This GCP Cloud Data Engineer training covers cloud architecture, data pipelines, storage solutions, and machine learning, providing theoretical and hands-on experience.

    You’ll receive industry-recognized certification and hands-on experience with GCP’s advanced tools, opening doors to high-demand roles in cloud data engineering.

       Yes! The course includes industry-relevant practical projects and case studies to prepare you against real-world challenges in the field. 

    You can contact us directly for details on enrollment and start dates or visit our website.

    Yes! You will receive an industry-aligned GCP Cloud Data Engineer certification upon successful completion.

    Are you Ready to Become a GCP Cloud Data Engineer?

    Ready to get GCP Cloud Data Engineer JOB

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