The Complete GCP Data Engineering Project - Retailer Domain

About this course

This project focuses on building a data lake in Google Cloud Platform (GCP) for Retailer DomainThe goal is to centralize, clean, and transform data from multiple sources, enabling Retailers providers and insurance companies to streamline billing, claims processing, and revenue tracking.GCP Services Used:Google Cloud Storage (GCS): Stores raw and processed data files.BigQuery: Serves as the analytical engine for storing and querying structured data.Dataproc: Used for large-scale data processing with Apache Spark.Cloud Composer (Apache Airflow): Automates ETL pipelines and workflow orchestration.Cloud SQL (MySQL): Stores transactional Electronic Medical Records (EMR) data.GitHub & Cloud Build: Enables version control and CI/CD implementation.CICD (Continuous Integration & Continuous Deployment): Automates deployment pipelines for data processing and ETL workflows.Techniques involved : Metadata Driven ApproachSCD type 2 implementationCDM(Common Data Model)Medallion Architecture Logging and MonitoringError HandlingOptimizationsCICD implementationmany more best practicesData SourcesMySQL Retailer DatabaseMySQL Supplier DatabaseAPI Reviews (api-reviews)Expected OutcomesEfficient Data Pipeline: Automating the ingestion and transformation of RCM data.Structured Data Warehouse: gold tables in BigQuery for an

Course objectives

• centralize data from multiple sources
• streamline billing and claims processing
• create a structured data warehouse in BigQuery