25 articles tagged with "Etl"

Guide to tuning Databricks for petabyte ETL: cluster sizing, Delta Lake layout, Auto Loader, AQE, and predictive optimization.

Query design, not warehouse size, is often the real reason Snowflake slows; profile queries, reduce I/O, optimize loads, and right-size resources.

Setup and monitor analytics pipelines with Airflow: UI views, logs, alerts, Prometheus/Grafana, and best practices for reliability.

Covers Airflow setup, DAG best practices, dbt/Snowflake integrations, and capstone projects for bootcamp learners.

Practical Hive optimization: partitioning, bucketing, compression, Tez, vectorized execution and CBO to speed queries and cut storage and compute costs.

Build low-latency live video pipelines with a unified lakehouse streaming approach, efficient state stores, and medallion data layers.

Compare Databricks and Airflow for event-driven workflows—native triggers, Spark scaling, integration trade-offs, and cost differences.

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

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

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

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

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.