Data engineering articles

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Apache Airflow Big Data Big Data algorithms Big Data problems - solutions Data engineering patterns Databricks General Big Data General data engineering Graphs SQL

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4-day workshop Β· In-person or online

What would it take for you to trust your Databricks pipelines in production?

A 3-day bug hunt on a 3-person team costs up to €7,200 in lost engineering time. This workshop teaches you to prevent that β€” unit tests, data tests, and integration tests for PySpark and Databricks Lakeflow, including Spark Declarative Pipelines.

Unit, data & integration tests
Medallion architecture & Lakeflow SDP
Max 10 participants Β· production-ready templates
See the full curriculum β†’ €7,000 flat fee Β· cohort of up to 10
Bartosz Konieczny
Bartosz
Konieczny

Big Data architectures

When some years ago I done a small POC Hadoop/MapReduce project based on a million song dataset (my old blog in French), I expressly omitted the part about architecture. It was a mistake because correctly designed architecture is as important as code written behind.

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Big Data glossary

Originally, Big Data can seem to be strictly related to one tool - Hadoop. However, it's a misunderstanding of the concept because it hides more interesting stuff.

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