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- Data Engineering Interview Preparation Series #3: SQL
- How to Extract Data from APIs for Data Pipelines using Python
- Visual Studio Code (VSCode) extensions for data engineers
- How to turn a 1000-line messy SQL into a modular, & easy-to-maintain data pipeline?
- Data Engineering Interview Preparation Series #2: System Design
- What do Snowflake, Databricks, Redshift, BigQuery actually do?
- 25 SQL tips to level up your data engineering skills
- How to use nested data types effectively in SQL
- How to decide on a data project for your portfolio
- How to build a data project with step-by-step instructions
- What are the Key Parts of Data Engineering?
- Data Engineering Interview Preparation Series #1: Data Structures and Algorithms
- How to implement data quality checks with greatexpectations
- What are the types of data quality checks?
- SQL or Python for Data Transformations?
- Why use Apache Airflow (or any orchestrator)?
- Data Engineering Projects
- Data Engineering Project for Beginners - Batch edition
- dbt(Data Build Tool) Tutorial
- Enable stakeholder data access with Text-to-SQL RAGs
- How to reduce your Snowflake cost
- Docker Fundamentals for Data Engineers
- What is an Open Table Format? & Why to use one?
- Change Data Capture, with Debezium
- Setting up a local development environment for python data projects using Docker
- End-to-end data engineering project - batch edition
- 6 Responsibilities of a Data Engineer
- What is a staging area?
- What is a Data Warehouse?
- Designing a Data Project to Impress Hiring Managers
- What, why, when to use Apache Kafka, with an example
- A proven approach to land a Data Engineering job
- Data Engineering Project for Beginners - Batch edition
- Advantages of Using dbt(Data Build Tool)