Data Engineering
Reference documents in Data Engineering.
Documents in Data Engineering
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Unlock the secrets of Big Data and AI projects. We've always had teams for managing databases, but with the data management landscape so rapidly evolving – you need to take your data teams to a whole new level.
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The book is structured to provide a foundational understanding of data engineering, beginning with an overview that sets the stage for more detailed explorations, crafted to introduce readers to the core principles and practices of this crucial field.
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With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.
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This open access book aims to synthesize and integrate the research challenges in data science and data engineering. It offers a comprehensive survey of the entire data management stack, from scalable and explainable data analytics to traceable data workflows.
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Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small.
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This book provides data engineers and scientists insight into how Kubernetes provides a platform for building data platforms that increase an organization’s data agility. How Kubernetes has changed the way we process big data and why businesses must adapt.
