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Dataform

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May 1, 2024 2 minute read
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Dataform is a code-first approach to data transformation that enables data engineers, analysts, and scientists to define complex transformations in a reliable and maintainable way. It provides a consistent and structured way to describe, document, and build data pipelines, ensuring that data is transformed consistently and efficiently.

Why Learn Dataform?

There are several reasons why one might want to learn Dataform:

Path to Dataform

Take the first step.
We've curated five courses to help you on your path to Dataform. Use these to develop your skills, build background knowledge, and put what you learn to practice.
Sorted from most relevant to least relevant:

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Reading list

We've selected five books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Dataform.
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A guide to multiple-use forest management planning...
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This is the official documentation for Dataform. It provides comprehensive coverage of the tool's features, syntax, and best practices. It valuable resource for anyone looking to gain a deep understanding of Dataform.
A guide to multiple-use forest management planning...
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A guide to multiple-use forest management planning...
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The Informed Company
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Takes a broader perspective on data pipelines, covering both foundational concepts and practical implementation. It includes a chapter dedicated to Dataform, providing a solid overview for data professionals interested in exploring this technology.
The Informed Company: How to Build Modern Agile...
Paperback
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The Informed Company: How to Build Modern Agile...
Kindle Edition
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Data Smart
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Focuses on software design principles and best practices for data science and data engineering projects. While it does not specifically cover Dataform, it provides valuable insights into the development of maintainable and scalable data pipelines.
Data Smart: Using Data Science to Transform...
Paperback
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(Deutsch) Smart Data statt Big Data: Wie Sie mit Excel...
Kindle Edition
$$
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Data Pipelines Pocket Reference
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This concise guide provides a quick reference to the key concepts and commands of Dataform. It is an excellent resource for data engineers who need a handy reference while working with Dataform.
Data Pipelines Pocket Reference: Moving and...
Paperback
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Data Pipelines Pocket Reference: Moving and...
Kindle Edition
$$
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Azure Data Engineer Associate Certification Guide
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Focuses on data engineering on Amazon Web Services (AWS). It includes a section on Dataform, providing an overview of its capabilities and how it can be used within the AWS ecosystem.
Azure Data Engineer Associate Certification Guide:...
Paperback
$$
Azure Data Engineer Associate Certification Guide:...
Paperback
$$$
Azure Data Engineer Associate Certification Guide:...
Kindle Edition
$$
Azure Data Engineer Associate Certification Guide:...
Kindle Edition
$$
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