Hallo! Tracked shipping to Netherlands with Delivery Duty Paid for just €7 

Ship to
Netherlands
0
  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

Select your country

Americas

Europe

Rest of the world

portada Data Engineering for Data Science
Type
Physical Book
Publisher
Language
English
Pages
380
Format
Hardcover
ISBN13
9783032187642

Data Engineering for Data Science

Dejaegere, Gilles; Abelló, Alberto; Torp, Kristian (Author) · Springer · Hardcover

Data Engineering for Data Science - Dejaegere, Gilles; Abelló, Alberto; Torp, Kristian

Cheaper New Book Imported to Netherlands
Delivery: 02 Oct - 06 Oct Shipping: 15 to 16 business days.
€ 56,79
Faster New Book Imported to Netherlands
Delivery: 18 Sep - 22 Sep Shipping: 5 to 6 business days.
€ 69,02
Import costs and 9% BTW included in the price ✅
€ 56,79

Synopsis "Data Engineering for Data Science"

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. By providing a consistent framework, it facilitates a thorough understanding of the data science lifecycle, from basic definitions to state-of-the-art concepts and techniques. The book is divided into four parts, each focusing on a different aspect of the data management and science lifecycle: governance, storage and processing, preparation, and analysis. Each part is organized to provide a coherent conceptual framework and is divided into multiple chapters, each focusing on a specific topic but together offering a comprehensive overview of the state of the art and the key challenges in the respective areas. While the parts and chapters follow a logical sequence, each chapter is designed to be self-contained and can be read independently. Chapters include references for further reading and deeper exploration, and often also provide concrete examples or use cases to make the material more accessible. In addition, many chapters introduce a taxonomy to break down complex research areas into manageable components, highlighting the core directions and developments within each domain. The book is designed to be a valuable resource for both researchers and practitioners seeking to leverage data engineering for data science applications. For both seasoned experts or budding professionals, it provides the tools and knowledge needed to stay at the forefront of data-driven advancements.

Customers reviews

Frequently Asked Questions about the Book

All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews