VuTrinh.: Who It's For and Who Sponsors It

Covers: Data engineering concepts, pipeline reliability, ETL and ELT architectures, Spark performance, CDC, and modern data formats.
For: Data engineers, data architects, and software developers building data pipelines.
Best for: Data engineers looking to advance their technical skills and understand modern data architectures.
Skip if: Non-technical business users or professionals outside the data and engineering field.

Start with

Data Pipeline 101: Strategies to make the data pipelines fail... reliably: Explains architectural strategies to handle failures reliably within data pipelines.
[FREE] Change Data Capture (CDC) for Data Engineers: Teaches how Change Data Capture works and how to apply it in data engineering.
From Solving Netflix’s Data Lake Problems to Becoming the Dominant Open Table Format: The Evolution of Apache Iceberg: Explores the background and technical evolution of the Apache Iceberg table format.

Coupler.ioSponsor
This article is sponsored by Coupler.io. Connect marketing, finance, sales, and other business data to BigQuery
[FREE] Change Data Capture (CDC) for Data Engineers · 2026-10-01

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