GCP Data Engineer From Scratch to Pro

GCP Professional Data Engineer

What you’ll learn
✓ Get familiar with Data, Big data and cloud
✓ Master warehousing
✓ Build scalable data pipelines on Google Cloud using GCS, BigQuery, Dataflow, Coposer, Pub/Sub & Dataproc , streaming
✓ You will get prepared for GCP professional DE Certification

Requirements
● Basic understanding of databases and SQL(If not it will be coverd during course) Familiarity with programming concepts (Python preferred, but not mandatory) Basic knowledge of cloud computing concepts A computer with internet access A free or paid account on Google Cloud to complete hands-on labs Willingness to learn and practice with real-world data engineering scenarios

Description
By the end of this course, you will be able to

• Understand the core concepts of cloud data engineering on Google Cloud

• Design and build scalable data pipelines using Google Cloud Platform (GCP)

• Implement batch and real-time data processing with Cloud Dataflow

• Build and manage data warehouses using BigQuery

• Work with distributed processing frameworks like Cloud Dataproc

• Design event-driven architectures using Cloud Pub/Sub

• Store and manage structured and unstructured data with Cloud Storage and Cloud SQL

• Orchestrate workflows using Cloud Composer

• Implement data security and IAM roles in GCP

• Optimize performance and cost for data engineering solutions

• Prepare for the Google Cloud Professional Data Engineer certification

• A beginner-friendly (no experience required)

• more advanced / certification-focused

Who this course is for
■ Aspiring Data Engineers who want to build real-world skills on Google Cloud Software Developers looking to transition into data engineering Data Analysts who want to work with large-scale data systems Cloud Engineers expanding into data platforms and analytics IT professionals preparing for the Google Cloud Professional Data Engineer certification Students and fresh graduates aiming to start a career in cloud data engineering Anyone who wants hands-on experience building batch and streaming data pipelines on GCP

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