Etl

18 articles tagged with "Etl"

Checklist for Building a Cloud Data Engineer Portfolio

Two to three production-ready cloud data projects beat dozens of tutorials for landing data engineering interviews.

February 18, 2026⦁ 12 min read

Data Engineering

5 Tools To Showcase Data Engineering Skills

Learn how Airflow, AWS, Snowflake, dbt, and Spark projects can power a standout data engineering portfolio with real end-to-end workflows.

February 15, 2026⦁ 16 min read

Data Engineering

How To Add Data Quality Checks in Pipelines

Automated data validations for ingestion and transformations using Great Expectations and dbt-expectations to catch errors early and keep analytics trustworthy.

February 13, 2026⦁ 11 min read

Data Engineering

Green Data Pipelines vs. Traditional Pipelines

Compare green and traditional data pipelines: energy use, cost savings, scalability, and techniques like lazy evaluation, sparse models, and carbon-aware scheduling.

February 7, 2026⦁ 13 min read

Data Engineering

Open Source ETL Tools: Comparison Guide 2026

Compare six open-source ETL tools—Airbyte, Airflow, NiFi, Pentaho, Meltano, and Talend (retired)—to find the best fit for scale, real-time needs, and team skills.

February 2, 2026⦁ 17 min read

Data Engineering

How Databricks Handles Schema Transformations

Guide to schema enforcement, schema evolution, Auto Loader, mergeSchema, type widening, and streaming best practices in Databricks.

February 1, 2026⦁ 16 min read

Data Engineering

Error Handling in Airflow with Python Pipelines

Reliable Airflow pipelines require intentional error handling: retries, idempotent tasks, targeted exceptions, alerts, and robust logging.

January 28, 2026⦁ 12 min read

Data Engineering

Backward Compatibility in Schema Evolution: Guide

Evolve schemas without breaking pipelines: learn safe changes, compatibility modes (BACKWARD vs BACKWARD_TRANSITIVE), registry best practices, and rollout tips.

January 27, 2026⦁ 15 min read

Data Engineering

Kubernetes Best Practices for Data Teams

Kubernetes best practices for data teams: cluster setup, Spark/Airflow integration, resource requests, autoscaling, security, monitoring, GitOps, and cost.

January 25, 2026⦁ 20 min read

Data Engineering

How to Debug Airflow DAG Failures

Step-by-step checklist to diagnose and fix Airflow DAG failures: verify DAG import, inspect task logs, test with dag.test(), validate connections, and tune resources.

January 24, 2026⦁ 15 min read

Data Engineering

AWS vs Azure for Data Engineers: Tool Comparison

Compare AWS and Azure data engineering tools — storage, ETL, streaming, ML, and pricing — to choose the platform that fits your team's skills and infrastructure.

January 23, 2026⦁ 19 min read

Data Engineering

Data Engineering Bootcamp Checklist: What to Look For

Assess curriculum, hands-on projects, mentorship, cloud tools, and costs to pick a bootcamp that truly prepares you for data engineering roles.

January 22, 2026⦁ 17 min read

Data Engineering