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Data Engineering Design Patterns - by  Bartosz Konieczny (Paperback) - 1 of 1

Data Engineering Design Patterns - by Bartosz Konieczny (Paperback)

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Highlights

  • Data projects are an intrinsic part of an organization's technical ecosystem, but data engineers in many companies continue to work on problems that others have already solved.
  • Author(s): Bartosz Konieczny
  • 372 Pages
  • Computers + Internet,

Description



About the Book



"Data projects are an intrinsic part of an organization's technical ecosystem, but data engineers in many companies continue to work on problems that others have already solved. This hands-on guide shows you how to provide valuable data by focusing on various aspects of data engineering, including data ingestion, data quality, idempotency, and more. Author Bartosz Konieczny guides you through the process of building reliable end-to-end data engineering projects, from data ingestion to data observability, focusing on data engineering design patterns that solve common business problems in a secure and storage-optimized manner. Each pattern includes a user-facing description of the problem, solutions, and consequences that place the pattern into the context of real-life scenarios"--



Book Synopsis



Data projects are an intrinsic part of an organization's technical ecosystem, but data engineers in many companies continue to work on problems that others have already solved. This hands-on guide shows you how to provide valuable data by focusing on various aspects of data engineering, including data ingestion, data quality, idempotency, and more.

Author Bartosz Konieczny guides you through the process of building reliable end-to-end data engineering projects, from data ingestion to data observability, focusing on data engineering design patterns that solve common business problems in a secure and storage-optimized manner. Each pattern includes a user-facing description of the problem, solutions, and consequences that place the pattern into the context of real-life scenarios.

Throughout this journey, you'll use open source data tools and public cloud services to apply each pattern. You'll learn:

  • Challenges data engineers face and their impact on data systems
  • How these challenges relate to data system components
  • Useful applications of data engineering patterns
  • How to identify and fix issues with your current data components
  • Technology-agnostic solutions to new and existing data projects, with open source implementation examples

Bartosz Konieczny is a freelance data engineer who's been coding since 2010. He's held various senior hands-on positions that allowed him to work on many data engineering problems in batch and stream processing.

Dimensions (Overall): 9.19 Inches (H) x 7.0 Inches (W) x .77 Inches (D)
Weight: 1.31 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 372
Genre: Computers + Internet
Publisher: O'Reilly Media
Format: Paperback
Author: Bartosz Konieczny
Language: English
Street Date: May 20, 2025
TCIN: 93462072
UPC: 9781098165819
Item Number (DPCI): 247-48-8362
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.77 inches length x 7 inches width x 9.19 inches height
Estimated ship weight: 1.31 pounds
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Q: What is the primary focus of the book?

submitted by AI Shopping Assistant - 4 days ago
  • A: The primary focus is on building reliable end-to-end data engineering projects and solving common business problems.

    submitted byAI Shopping Assistant - 4 days ago
    Ai generated

Q: What topics are covered in this data engineering guide?

submitted by AI Shopping Assistant - 4 days ago
  • A: The guide covers data ingestion, data quality, idempotency, and various data engineering design patterns.

    submitted byAI Shopping Assistant - 4 days ago
    Ai generated

Q: What is the intended audience for this book?

submitted by AI Shopping Assistant - 4 days ago
  • A: The book is intended for individuals aged 22 years and up, particularly those in data engineering roles.

    submitted byAI Shopping Assistant - 4 days ago
    Ai generated

Q: Who is the author of this book?

submitted by AI Shopping Assistant - 4 days ago
  • A: The book is authored by Bartosz Konieczny, a freelance data engineer with extensive experience.

    submitted byAI Shopping Assistant - 4 days ago
    Ai generated

Q: What type of solutions does the book provide?

submitted by AI Shopping Assistant - 4 days ago
  • A: It offers technology-agnostic solutions with open source implementation examples for data engineering challenges.

    submitted byAI Shopping Assistant - 4 days ago
    Ai generated

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