- Home Page /
- Books /
- Computers & Technology /
- Databases & Big Data /
- Data Modeling & Design /
- Fundamentals of Data Engineering: Plan and Bu...
Item #:
115753719
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Item #:
115753719
BZD 169
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from US
0 ratings
Write a review
In stock
Imported from USA store
QTY:
Order now and get it around Saturday, June 27
Secured 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
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.
Fast
Shipping
Free
Return*
Secure Packaging
100% Original Products
PCI DSS Compliance
ISO 27001 Certified
What Stands Out
Comprehensive Guide
Covers essential concepts of data engineering, from planning to building systems, providing a solid foundation for novice and experienced practitioners alike.
Practical Insights
Includes real-world examples and case studies that demonstrate effective strategies, allowing readers to apply learned principles directly to their projects.
Up-to-Date Techniques
Incorporates modern tools and methodologies, ensuring readers are equipped with the latest skills necessary for today's data-centric environment.
Product Details
- Comprehensive view of data engineering lifecycle and best practices
- Learn to plan and build systems using cloud technologies
- Understand data generation, ingestion, orchestration, transformation, storage, and governance
- Cut through marketing hype when choosing data technologies and architecture
- Incorporate data governance and security across the data engineering lifecycle
- Target audience includes software engineers, data scientists, data analysts, and technical practitioners
| Item Weight | 1.1 lbs (500 grams) |
Who Should Buy?
-
Aspiring Data Engineers
Perfect for beginners looking to understand data system design and implementation basics for their future careers.
-
Technical Managers
Useful for managers overseeing data projects, helping them understand fundamental concepts for better team leadership.
-
Data Enthusiasts
Ideal for individuals passionate about data who want to deepen their understanding of engineering methodologies and best practices.
-
Experienced Professionals
May not be suitable for seasoned engineers seeking advanced topics beyond foundational data engineering concepts.
-
Non-Technical Users
Not recommended for users without technical backgrounds or interest, as it covers complex engineering principles.
-
Casual Readers
Unsuitable for those seeking light reading or casual insights, as it focuses on applied technical knowledge.
Product Description
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Have any Query? Chat with us
Customer Questions & Answers
-
Question:
Who is this book for?
Answer: This book is for software engineers, data scientists, and analysts looking for a comprehensive view of data engineering. -
Question:
What does the book cover?
Answer: The book covers the data engineering lifecycle, including data generation, ingestion, orchestration, transformation, storage, and governance. -
Question:
What will readers learn from this book?
Answer: Readers will learn how to plan and build robust data systems by evaluating the best technologies and following best practices throughout the data engineering lifecycle.
Data Modeling & Design Editorial Review
**** "Fundamentals of Data Engineering: Plan and Build Robust Data Systems" by Joe Reis and Matt Houser has garnered Considerable acclaim since its release, especially for those who are new to the field of data engineering. This book is praised for its clear and practical approach, offering readers a well-structured overview of essential concepts, tools, and workflows necessary for Constructing real-world data pipelines. It strikes a balance between being accessible for beginners and providing enough depth to benefit those with some prior experience in data analysis or engineering. A standout feature of the book is its technology-agnostic stance, which distinguishes it from many other resources that focus on specific tools such as PySpark or Hadoop. Instead, it fosters a broader understanding of data engineering principles, emphasizing sound architectural strategies and the importance of ROI. Readers have noted that it provides valuable insights ranging from hardware fundamentals to stakeholder management, making it a comprehensive resource for various professionals within the data ecosystem. However, while the book serves as a solid introduction to data engineering, it is not without its shortcomings. Some readers express concern over its lack of cohesive narrative, as certain concepts are introduced without thorough explanations, leading to a somewhat disjointed reading experience. Additionally, there are sections that feel excessively repetitive, with some information highlighted multiple times across different chapters. The variance in the level of technical detail can also be off-putting; certain topics are elaborated upon while others receive minimal coverage, potentially alienating readers from different backgrounds or experience levels. Moreover, some critics mention that the book appears to be heavily influenced by a "big tech" perspective, particularly concerning the emphasis on streaming data as the future of data engineering. Readers not involved in such high-frequency data environments may find this assertion less relevant to their needs. Despite its imperfections, "Fundamentals of Data Engineering" is regarded as a vital addition to any data professional's library. It is particularly recommended for newcomers aiming to establish a solid foundation in data engineering principles, while more experienced practitioners might derive less value from it. Overall, this book is a commendable effort in an evolving field, though some readers may find it worthwhile to wait for subsequent editions to address its current limitations. **
Customer Reviews & Ratings
1 customers ratings
-
5 Star
0%
-
4 Star
100%
-
3 Star
0%
-
2 Star
0%
-
1 Star
0%
Review this product
Share your thoughts with other customers
Pros
- Clear, practical, and well-structured for beginners.
- Technology-agnostic, providing universal data engineering frameworks.
- Valuable insights for both new and experienced professionals.
- Comprehensive coverage of data architecture and stakeholder management.
Cons
- Lack of cohesive narrative; concepts occasionally introduced before fully explained.
Product Price History
Important information
- Limitations : For products shipped internationally, please note that any manufacturer warranty may not be valid; manufacturer service options may not be available; product manuals, instructions, and safety warnings may not be in destination country languages; the products (and accompanying materials) may not be designed in accordance with destination country standards, specifications, and labeling requirements; and the products may not conform to destination country voltage and other electrical standards (requiring use of an adapter or converter if appropriate). The recipient is responsible for assuring that the product can be lawfully imported to the destination country. When ordering from Ubuy or its affiliates, the recipient is the importer of record and must comply with all laws and regulations of the destination country.
- Not all the products listed on Ubuy are for sale, as Ubuy is a global search engine. Products are subject to export/trade regulations.
BZD 169
Order now and get it around Saturday, June 27
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
Secured 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
Fastest cross-border delivery
Features & Benefits
- 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