Data Engineering Zoomcamp

Architecture diagram

• 

Technologies

• Google Cloud Platform (GCP): Cloud-based auto-scaling platform by Google
  • Google Cloud Storage (GCS): Data Lake
  • BigQuery: Data Warehouse
• Terraform: Infrastructure-as-Code (IaC)
• Docker: Containerization
• SQL: Data Analysis & Exploration
• Prefect: Workflow Orchestration
• dbt: Data Transformation
• Spark: Distributed Processing
• Kafka: Streaming

Tools

• Docker and Docker-Compose
• Python 3 (e.g. via Anaconda)
• Google Cloud SDK
• Terraform

Project

01: Introduction & Prerequisites

• Introduction to GCP
• Docker and docker-compose
• Running Postgres locally with Docker
• Setting up infrastructure on GCP with Terraform
• Preparing the environment for the course

02: Workflow Orchestration

• Workflow orchestration
• Introduction to Prefect
• ETL with GCP & Prefect
• Parametrizing workflows
• Prefect Cloud and additional resources

03: Data Warehouse

• BigQuery
• Partitioning and clustering
• BigQuery best practices
• Internals of BigQuery
• BigQuery Machine Learning

04: Analytics engineering

• dbt (data build tool)
• BigQuery and dbt
• Postgres and dbt
• dbt models
• Testing and documenting
• Deployment to the cloud and locally
• Visualizing the data with google data studio and metabase

05: Batch processing

• Batch processing
• Spark Dataframes
• Spark SQL
• Internals: GroupBy and joins

06: Streaming

• Introduction to Kafka
• Schemas (avro)
• Kafka Streams
• Kafka Connect and KSQL