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Fundamentals of Data Engineering: Plan and Build Robust Data Systems
PKR 18774
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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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What Stands Out
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?
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Aspiring Data Engineers
Perfect for beginners looking to understand data system design and implementation basics for their future careers.
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Technical Managers
Useful for managers overseeing data projects, helping them understand fundamental concepts for better team leadership.
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Data Enthusiasts
Ideal for individuals passionate about data who want to deepen their understanding of engineering methodologies and best practices.
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Experienced Professionals
May not be suitable for seasoned engineers seeking advanced topics beyond foundational data engineering concepts.
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Non-Technical Users
Not recommended for users without technical backgrounds or interest, as it covers complex engineering principles.
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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
Customer Questions & Answers
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Question:
What is 'Fundamentals of Data Engineering' about?
Answer: 'Fundamentals of Data Engineering: Plan and Build Robust Data Systems' provides a comprehensive introduction to the core principles and practices of data engineering. It covers topics including data architecture, data warehousing, and the technologies and tools used to build scalable data systems.Category: overviewConfidence: high -
Question:
Who is the author of this book?
Answer: The book is authored by Joe Reis and Matt Housley, who are experienced professionals in the field of data engineering.Category: overviewConfidence: high -
Question:
What topics are covered in this book?
Answer: The book addresses key topics such as data pipelines, data modeling, ETL processes, and data governance. It also delves into modern data technologies like cloud computing and big data frameworks.Category: overviewConfidence: high -
Question:
Is there a companion website or resources available?
Answer: There are no official companion websites mentioned specifically for the book; however, additional resources like online courses and workshops may be available through the authors' professional channels.Category: otherConfidence: medium -
Question:
What is the format of the book?
Answer: The book is available in various formats, including paperback, eBook, and possibly audiobook versions, depending on the retailer.Category: otherConfidence: medium -
Question:
What is the publication date of this edition?
Answer: The 1st edition of 'Fundamentals of Data Engineering' was published on August 16, 2022.Category: overviewConfidence: high -
Question:
Who is this book suitable for?
Answer: This book is suitable for aspiring data engineers, data scientists, and anyone looking to gain a foundational understanding of data systems and engineering principles.Category: overviewConfidence: high -
Question:
Are there any prerequisites for reading this book?
Answer: While there are no strict prerequisites, a general understanding of programming and basic data concepts may enhance the reading experience.Category: overviewConfidence: medium -
Question:
How is the information organized in the book?
Answer: The book is organized into chapters focusing on specific aspects of data engineering, combining theory with practical examples to illustrate concepts effectively.Category: overviewConfidence: high -
Question:
Can this book help prepare for data engineering interviews?
Answer: Yes, the concepts covered in this book can help readers prepare for data engineering interviews by providing essential knowledge and skills relevant to the role.Category: overviewConfidence: medium -
Question:
Is there an index or glossary in the book?
Answer: Yes, the book includes an index and glossary to help readers navigate the material and clarify key terms related to data engineering.Category: overviewConfidence: high -
Question:
Does the book include practical exercises or projects?
Answer: Yes, the book features practical exercises and projects designed to reinforce the concepts discussed in each chapter, providing hands-on experience in data engineering.Category: usageConfidence: high -
Question:
Are there differences between this edition and future editions?
Answer: As this is the first edition, any future editions may include updated content, new technologies, or additional chapters based on evolving industry trends.Category: otherConfidence: medium -
Question:
How long is the book?
Answer: The book has approximately 300 pages, making it a comprehensive yet accessible resource for understanding data engineering.Category: specsConfidence: high
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PKR 18774
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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.
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