Discover our latest articles and guides on Data Engineering
A 2026 guide to Snowflake architecture for data engineers: how storage and compute separate, how virtual warehouses and micro-partitions work, and the interview questions that test production experience.
Master Apache Airflow 3.2 with this hands-on tutorial covering DAG authoring with the Task SDK, pipeline orchestration patterns, asset partitions, and real interview questions for data engineering roles in 2026.
Master dbt (data build tool) with this hands-on tutorial covering SQL transformations, layered modeling, testing strategies, and real interview questions for data engineering roles in 2026.
A comprehensive guide to Apache Spark 4.x covering ANSI mode, VARIANT type, Real-Time Mode streaming, Spark Connect, and common data engineering interview questions with code examples.
Apache Kafka deep dive for data engineers covering streaming architecture, partition strategies, consumer groups, and common interview questions with practical examples using Kafka 4.x and KRaft.
ETL vs ELT comparison for modern data pipelines. Understand the architectural differences, performance trade-offs, and when to use each approach with Snowflake, BigQuery, and dbt in 2026.