MICRO-COURSE

Data Engineering & Processing Pipelines

Data Engineering & Processing Pipelines: 13 short lessons, one for each concept. Data ingestion, ETL, ELT, batch processing, stream processing, change data capture, orchestration, schema evolution, data validation, event-time processing, late-arriving data, backfills, and pipeline reliability.

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01 / WATCH

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02 / UNDERSTAND

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Data ingestion, ETL, ELT, batch processing, stream processing, change data capture, orchestration, schema evolution, data validation, event-time processing, late-arriving data, backfills, and pipeline reliability.

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Concept scope

03 / TRY IT

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Write down a small example, its inputs or starting point, and the result you expect.
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Explain the concept in your own words and identify where it fits in the subject.
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CONTINUE WITH ONE CONCEPT

Explore 13 focused topics.

Each topic opens its own micro-course, with its learning guide, recording status and session requests.

13 results1–12

Lesson

Data ingestion

A short lesson on data ingestion from the Data Engineering & Processing Pipelines micro course: what it is, where it shows up in real systems, and a practical example you can apply.

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Lesson

ETL

A short lesson on ETL from the Data Engineering & Processing Pipelines micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

ELT

A short lesson on ELT from the Data Engineering & Processing Pipelines micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Batch processing

A short lesson on batch processing from the Data Engineering & Processing Pipelines micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Stream processing

A short lesson on stream processing from the Data Engineering & Processing Pipelines micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Change data capture

A short lesson on change data capture from the Data Engineering & Processing Pipelines micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Orchestration

A short lesson on orchestration from the Data Engineering & Processing Pipelines micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Schema evolution

A short lesson on schema evolution from the Data Engineering & Processing Pipelines micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Data validation

A short lesson on data validation from the Data Engineering & Processing Pipelines micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Event-time processing

A short lesson on event-time processing from the Data Engineering & Processing Pipelines micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Late-arriving data

A short lesson on late-arriving data from the Data Engineering & Processing Pipelines micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Backfills

A short lesson on backfills from the Data Engineering & Processing Pipelines micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Data Engineering & Processing Pipelines

Recorded video

Start with the topic guide.

Concept scope

Prepare a focused example

Check your understanding

Need a walkthrough?Stay with this topic.

Request a live session for this topic.

Explore 13 focused topics.

Data ingestion

ETL

ELT

Batch processing

Stream processing

Change data capture

Orchestration

Schema evolution

Data validation

Event-time processing

Late-arriving data

Backfills

Need a walkthrough?
Stay with this topic.