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Start Data Engineering
A newsletter with tutorials, data design patterns, open-source tools, and techniques used by data-driven companies to help you become a better data engineer.
Title
How to Write Integration Tests for Python Data Pipelines
How to Create Python Data Pipelines by Defining Architecture and Generating Code with LLMs
How to Use Spark SQL Merge Into - Step-by-Step Tutorial
Six Data Modeling Techniques For Building Production-Ready Tables Fast
Free 10-Minute Polars Tutorial for Data Engineers
Free Python Standard Library How-to Cheatsheet for Data Engineers
How to Get Really Good at Advanced SQL for Data Engineering
How to quickly set up a local Spark development environment?
Using Joins and Group Bys the right way for data warehousing
CTEs(Common Table Expression) or Temporary Tables for Spark SQL
Advanced SQL is knowing how to model the data & get there effectively
Data Engineering Interview Preparation Series #3: SQL
How to Extract Data from APIs for Data Pipelines using Python
How to create an SCD2 Table using MERGE INTO with Spark & Iceberg
How to quickly deliver data to business users? #1. Adv Data types & Schema evolution
How to Manage Upstream Schema Changes in Data Driven Fast Moving Company
Visual Studio Code (VSCode) extensions for data engineers
Should Data Pipelines in Python be Function based or Object-Oriented (OOP)?
How to turn a 1000-line messy SQL into a modular, & easy-to-maintain data pipeline?
How to ensure consistent metrics in your warehouse
Data Engineering Interview Preparation Series #2: System Design
How to reference a seed from a different dbt project?
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
Build Data Engineering Projects, with Free Template
Python Essentials for Data Engineers
dbt(Data Build Tool) Tutorial
Building Cost Efficient Data Pipelines with Python & DuckDB
Enable stakeholder data access with Text-to-SQL RAGs
How to reduce your Snowflake cost
How to test PySpark code with pytest
Docker Fundamentals for Data Engineers
Data Engineering Best Practices - #2. Metadata & Logging
Uplevel your dbt workflow with these tools and techniques
What is an Open Table Format? & Why to use one?
6 Steps to Avoid Messy Data in Your Warehouse
Data Engineering Best Practices - #1. Data flow & Code
What is a self-serve data platform & how to build one
How to become a valuable data engineer
Data Engineering Project: Stream Edition
Change Data Capture, with Debezium
Data Pipeline Design Patterns - #2. Coding patterns in Python
Data Pipeline Design Patterns - #1. Data flow patterns
How to gather requirements for your data project
5 Steps to land a high paying data engineering job
Setting up a local development environment for python data projects using Docker
What is the difference between a data lake and a data warehouse?
End-to-end data engineering project - batch edition
Automating data testing with CI pipelines, using Github Actions
How to choose the right tools for your data pipeline
Setting up end-to-end tests for cloud data pipelines
How to improve at SQL as a data engineer
6 Responsibilities of a Data Engineer
6 Key Concepts, to Master Window Functions
Whats the difference between ETL & ELT?
What are Common Table Expressions(CTEs) and when to use them?
How to add tests to your data pipelines
10 Skills to Ace Your Data Engineering Interviews
What is a staging area?
What is a Data Warehouse?
How to Scale Your Data Pipelines
Understand & Deliver on Your Data Engineering Task
4 Key Patterns to Load Data Into A Data Warehouse
How to Validate Datatypes in Python
Designing a Data Project to Impress Hiring Managers
How to make data pipelines idempotent
Writing memory efficient data pipelines in Python
How to gather requirements to re-engineer a legacy data pipeline
How to trigger a spark job from AWS Lambda
How to set up a dbt data-ops workflow, using dbt cloud and Snowflake
Apache Superset Tutorial
How to Join a fact and a type 2 dimension (SCD2) table
How to update millions of records in MySQL?
How to unit test sql transforms in dbt
How to Backfill a SQL query using Apache Airflow
How to do Change Data Capture (CDC), using Singer
How to Pull Data from an API, Using AWS Lambda
How to submit Spark jobs to EMR cluster from Airflow
Ensuring Data Quality, With Great Expectations
Designing a “low-effort” ELT system, using stitch and dbt
3 Key techniques, to optimize your Apache Spark code
What, why, when to use Apache Kafka, with an example
A proven approach to land a Data Engineering job
What Does It Mean for a Column to Be Indexed
Advantages of Using dbt(Data Build Tool)
Apache Airflow Review: the good, the bad
Review: Building a Real Time Data Warehouse
3 Key Points to Help You Partition Late Arriving Events
Scheduling a SQL script, using Apache Airflow, with an example
10 Key skills, to help you become a data engineer
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