Fundamentals of Data Engineering: Plan and Build Robust Data Systems
genuine image
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
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.
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
ერთეულის #: 59364361

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

87% of respondents would recommend this to a friend

ერთეულის #: 59364361

GEL 160

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from აშშ

Საწყობში
აშშ იმპორტირებულია USA მაღაზიიდან

QTY:

შეუკვეთეთ ახლავე და მიიღეთ სამშაბათი, ოქტომბერი 27
Secured transactionsecured transaction

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

Our Top Logistics Partners
  • fedex
  • dhl
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.
U-Care-ის გარანტია:
არცერთი
აირჩიეთ გეგმა
fast shipping

Fast
Shipping

free return

Free
Return*

secure packaging

Secure Packaging

100% original products

100% Original Products

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified

paypal payment
visa payment
mastercard payment
qiwi wallet payment
Note: Step Down Voltage Transformer required for using electronics products of აშშ store (110-120). Recommended power converters იყიდე ახლა.

What Stands Out

Comprehensive Coverage
This book details essential data engineering concepts, providing a thorough understanding from planning to building robust data systems, ideal for both novices and experienced practitioners in the field.
Practical Insights
Packed with real-world examples and best practices, it helps readers apply theoretical knowledge effectively, enabling them to create scalable and efficient data infrastructures in their own organizations.
Expert Authorship
Authored by industry experts, this book combines academic rigor with practical experience, ensuring readers gain insights that bridge the gap between theory and industry standards, enhancing their expertise and marketability.

Პროდუქტის აღწერილობა

Get the 1st Edition of Fundamentals of Data Engineering, a comprehensive guide to plan and build robust data systems. Buy now at Ubuy Georgia!
  • Learn how to plan and build robust data systems through the data engineering lifecycle
  • Evaluate the best technologies available for data engineering
  • Understand the concepts of data generation, ingestion, orchestration, transformation, storage, and governance
  • Cut through marketing hype to make informed decisions on data technologies, architecture, and processes
  • Design and build a robust architecture using the data engineering lifecycle
  • Incorporate data governance and security throughout the data engineering lifecycle
Publisher O'Reilly Media
Publication date July 26, 2022
Edition 1st
Language English
Print length 447 pages
ISBN-10 1098108302
ISBN-13 978-1098108304
Item Weight 2.31 pounds (1.05 kg)
Dimensions 7 x 1 x 9.25 inches (17.8 x 2.5 x 23.5 cm)

Who Should Buy?

Suitable For
  • Aspiring Data Engineers

    This book provides foundational knowledge crucial for those starting their career in data engineering.

  • Data Professionals

    Professionals looking to enhance their skills in building and managing data systems will find valuable insights.

  • Project Managers

    Managers overseeing data projects can benefit from understanding data engineering principles and best practices.

Not Suitable For
  • Beginners in Tech

    Complete beginners may find the content challenging without prior knowledge of data concepts and engineering.

პროდუქტის აღწერილობა

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

გაქვთ რაიმე შეკითხვა? მოგვმართეთ ჩათში

მომხმარებელთა კითხვები და პასუხები

  • კითხვა: What is the main focus of 'Fundamentals of Data Engineering'?

    პასუხი: The book primarily focuses on providing a comprehensive foundation in data engineering principles. It covers essential topics such as data architecture, scalable data processing, and data pipeline design, which are critical for creating robust data systems. This resource is ideal for professionals looking to deepen their understanding of data workflows and system integration in real-world scenarios.
  • კითხვა: Who is the target audience for this book?

    პასუხი: The target audience includes aspiring data engineers, data scientists, and IT professionals who want to enhance their skills in data management. Additionally, it benefits students and industry practitioners interested in understanding the complexities of working with large data infrastructures, making it a valuable resource for various expertise levels.
  • კითხვა: What are the key topics covered in this book?

    პასუხი: Key topics include data modeling, ETL (Extract, Transform, Load) processes, cloud data solutions, and best practices for database management. Each chapter provides practical insights that enable readers to apply theoretical concepts to real-world data challenges, creating a practical guide for building effective data systems.
  • კითხვა: How can this book help in preparing for a career in data engineering?

    პასუხი: This book serves as a practical guide for those preparing for a career in data engineering. It equips readers with fundamental knowledge and skills necessary to tackle real-life data challenges. By providing case studies and practical examples, it enhances problem-solving abilities that are crucial for various roles across the technology industry.
  • კითხვა: Are there exercises or practical examples included?

    პასუხი: Yes, the book includes various exercises and examples designed to reinforce learning. These hands-on scenarios encourage readers to apply what they've learned in each chapter, helping solidify their understanding of data engineering principles through practical implementation, which is essential for real-world application.
  • კითხვა: Is this book suitable for beginners with no prior experience in data engineering?

    პასუხი: Absolutely. 'Fundamentals of Data Engineering' is structured to cater to readers with no prior experience, gradually introducing core concepts. Its accessible language and clear explanations ensure that even novices can grasp essential data engineering principles, making it an excellent starting point for their journey into this field.
  • კითხვა: What programming languages or tools are discussed in the book?

    პასუხი: The book discusses various programming languages and tools commonly used in data engineering, such as Python, SQL, and popular data processing frameworks like Apache Spark. Familiarity with these tools can significantly enhance a reader's ability to implement the concepts discussed, making it crucial for modern data workflows.
  • კითხვა: How does this book address the importance of data quality and governance?

    პასუხი: The book places a strong emphasis on data quality and governance, exploring how to ensure the accuracy and reliability of data systems. Sections dedicated to best practices and strategies for maintaining data integrity help readers understand the criticality of implementing robust data governance frameworks within organizations.
  • კითხვა: In what ways can this book assist organizations in implementing data systems?

    პასუხი: This book provides organizations with a structured approach to designing and implementing data systems. By offering frameworks and methodologies, it guides teams in building efficient data pipelines and infrastructures that support data-driven decision-making, improving overall organizational performance and adaptability.
  • კითხვა: Where can I buy 'Fundamentals of Data Engineering: Plan and Build Robust Data Systems' in Georgia?

    პასუხი: You can purchase 'Fundamentals of Data Engineering: Plan and Build Robust Data Systems' from Ubuy, which provides a convenient platform for accessing this valuable resource. Ubuy often features competitive offers and ensures a seamless shopping experience tailored to your needs in Georgia.

Data Modeling & Design Editorial Review

სარედაქციო მიმოხილვები ვერ მოიძებნა

Customer Reviews & Ratings

1 მომხმარებლის შეფასება
  • 5 ვარსკვლავი
    100%
  • 4 ვარსკვლავი
    0%
  • 3 ვარსკვლავი
    0%
  • 2 ვარსკვლავი
    0%
  • 1 ვარსკვლავი
    0%

ამ პროდუქტის მიმოხილვა

გაუზიარეთ თქვენი აზრები სხვა მომხმარებლებს

Platform Trust & Buyer Confidence

trustpilot logo
4.2/5 9477 reviews
Read reviews
JK
Jasmin
Verified buyer

“Great products and very good service: very easy and very fast international delivery.”

9 September 2026 · via Trustpilot
AG
Anke
Verified buyer

“Wonderful online shopping experience, smooth transaction from the start. Payment method works conveniently and delivery is unexpectedly fast and reliable. You go the extra mile for service. What makes this even more amazing, you deliver to Namibia. I will remain a happy Ubuy customer and will increase my purchases for sure! Thank you!”

10 September 2026 · via Trustpilot
H
Hazel
Verified buyer

“Very easy to find the products what you need, and so fast delivery, that’s why I highly recommended to others costumers to used ubuy.”

10 September 2026 · via Trustpilot
O
Opaleye
Verified buyer

“I received exactly what I ordered I was skeptical about your site because that was my first time to order. But the order came timely and neatly packaged. I was not disappointed. Thank you.”

11 September 2026 · via Trustpilot
AC
Adele
Verified buyer

“Easy to find and order what you want on the website. Delivery is quick to the UK”

8 September 2026 · via Trustpilot
უსაფრთხო კონტროლი Global Delivery Easy Returns Genuine Products

Product Price History

მნიშვნელოვანი ინფორმაცია

  • შეზღუდვები: გთხოვთ, გაითვალისწინოთ, რომ საზღვარგარეთ გაგზავნილი პროდუქტებისთვის მწარმოებლის გარანტია შეიძლება არ იყოს მოქმედი; მწარმოებლის მომსახურების პარამეტრები შეიძლება არ იყოს ხელმისაწვდომი; პროდუქტის ინსტრუქციები და უსაფრთხოების გაფრთხილებები შეიძლება არ იყოს დანიშნულების ქვეყნის ენაზე; პროდუქტები (და მასთან დაკავშირებული მასალები) შეიძლება არ იყოს შემუშავებული დანიშნულების ქვეყნის სტანდარტების, სპეციფიკაციებისა და მარკირების მოთხოვნების შესაბამისად; და პროდუქტები შეიძლება არ შეესაბამებოდეს დანიშნულების ქვეყნის ძაბვისა და სხვა ელექტრო სტანდარტებს (საჭიროების შემთხვევაში საჭიროა ადაპტერი ან გადამყვანი). მიმღები პასუხისმგებელია უზრუნველყოს, რომ პროდუქტი კანონიერად შემოიტანოს დანიშნულების ქვეყანაში. Ubuy-ს ან მისი აფილირებული პირების მეშვეობით შეკვეთისას მიმღები არის რეგისტრირებული იმპორტიორი და მან უნდა გაითვალისწინოს დანიშნულების ქვეყნის ყველა კანონი და დებულება.
  • Ubuy-ზე ჩამოთვლილი ყველა პროდუქტი არ არის გაყიდვაში, რადგან Ubuy არის გლობალური საძიებო სისტემა და პროდუქტები ექვემდებარება საექსპორტო/სავაჭრო რეგულაციებს.

GEL 160

შეუკვეთეთ ახლავე და მიიღეთ სამშაბათი, ოქტომბერი 27

QTY:

Secured transactionsecured transaction

PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.

Our Top Logistics Partners
  • fedex
  • dhl
Fastest cross-border delivery

მახასიათებლები და უპირატესობები

  • Understand the data engineering lifecycle
  • Assess data engineering problems using best practices
  • Choose the right data technologies, architecture, and processes
  • Design and build a robust architecture
  • Incorporate data governance and security

Ubuy Assurance

Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.