Intermediate Collocations #data engineering#ETL#pipeline#collocations

Data Pipeline

Data engineers speak a specific dialect of technical English. Collocations like ingest data, orchestrate pipeline, and backfill historical data are the vocabulary of ETL and data platform work. These exercises will help you use them accurately in job interviews, code reviews, and design documents.

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The Kafka connector is configured to ___ from the upstream API every five minutes.

Frequently Asked Questions

What does the "Data Pipeline" exercise practise?

Data engineers speak a specific dialect of technical English. Collocations like <em>ingest data</em>, <em>orchestrate pipeline</em>, and <em>backfill historical data</em> are the vocabulary of ETL and data platform work. These exercises will help you use them accurately in job interviews, code reviews, and design documents.

How many questions are in this exercise?

This exercise has 5 questions, each multiple-choice with an explanation shown after you answer.

What English level is this exercise for?

This exercise is tagged Intermediate. If the vocabulary feels difficult, browse Collocations for a related exercise to start with instead.