Data Engineering Zoomcamp 2024

Orginised by DataTalks.Club. DEZoomcamp GitHub repository.

Syllabus

NYC TLC data.

Module 1: Containerization and Infrastructure as Code

• Course overview
• 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
• Homework

Module 2: Workflow Orchestration

• Data Lake
• Workflow orchestration
• Workflow orchestration with Mage
• Homework

Workshop 1: Data Ingestion

Module 3: Data Warehouse

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

Module 4: Analytics engineering

• Basics of 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

Module 5: Batch processing

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

Module 6: Streaming

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

Workshop 2: Stream Processing with SQL

Project

• Putting everything we learned to practice

• Week 1 and 2: working on your project Week 3: reviewing your peers

Course UI

Alternatively, you can access this course using the provided UI app, the app provides a user-friendly interface for navigating through the course material.

Visit the following link: DE Zoomcamp UI