Best resources to learnSpark, Airflow & Data Pipelines

Study sheet

Modern data platforms move and transform data at scale. You will learn Spark for distributed processing, Airflow for orchestration, dbt for transformations and the design of reliable batch and streaming pipelines.

4 resources · Reviewed Oct 2026 · How we curate

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🎓Courses(1)

course

dbt Fundamentals

Free, roughly five-hour course from dbt Labs: connecting dbt to a warehouse and Git, building models, declaring sources, writing data tests, generating documentation and deploying jobs. Hands-on exercises use a free dbt trial account. The canonical starting point for the transformation layer; free and maintained by the tool's creators.

beginner🇬🇧

📚Books(1)

bookPaid

Learning Spark: Lightning-Fast Data Analytics (2nd Edition)

Covers Spark 3.0's structured APIs: DataFrames, Datasets and Spark SQL, the Catalyst optimizer, data sources, tuning, Structured Streaming, Delta Lake and MLlib, with Python and Scala examples. Code lives in the companion databricks/LearningSparkV2 repository. Best book-length treatment of modern (DataFrame-first) Spark from the people who built it.

intermediate🇬🇧

🌐Websites(2)

website

Streaming 101: The World Beyond Batch

The foundational conceptual text for streaming pipeline design. Essay defining streaming as processing unbounded data and arguing it can be a superset of batch. Explains event time versus processing time, windowing strategies, watermarks and why correctness requires consistent state and exactly-once processing.

advanced🇬🇧

website

Apache Airflow Tutorial: Fundamental Concepts

Official Airflow 3 tutorial that builds a first DAG: default arguments, scheduling, operators and tasks, Jinja templating, task dependencies, documentation, and testing with the airflow CLI. Leads on to the TaskFlow API and a full pipeline tutorial.

beginner🇬🇧

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Frequently Asked Questions

What are the best free resources to learn Spark, Airflow & Data Pipelines?

Dantes has curated 4 resources for Spark, Airflow & Data Pipelines, including 1 books, 1 courses, 2 websites. All resources are hand-picked for quality — no algorithmic filler. Browse the full list above to find the format that works best for you.

Is Spark, Airflow & Data Pipelines hard to learn?

Spark, Airflow & Data Pipelines is approachable at the beginner level — there are resources here specifically for those starting from scratch. As you progress, intermediate and advanced material is also available to take your skills further.

What types of Spark, Airflow & Data Pipelines learning resources are available on Dantes?

For Spark, Airflow & Data Pipelines, Dantes has curated 1 books, 1 courses, 2 websites. Each resource type serves a different learning style: videos and YouTube for visual learners, books for depth, courses for structured progression, and websites for quick reference.

How does Dantes select Spark, Airflow & Data Pipelines resources?

Dantes is an algorithm-free learning directory. Resources are hand-curated based on quality, accuracy, and usefulness — not engagement metrics or paid placements. The goal is to surface the best learning material for Spark, Airflow & Data Pipelines, whether it's a free YouTube series, a classic textbook, or an open courseware from a top university.

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