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Item #:
2261537
Big Data: Principles and best practices of scalable realtime data systems
87% of respondents would recommend this to a friend
Item #:
2261537
USD 14
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Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team.
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What Stands Out
Scalable Architecture
Designed for handling massive data volumes efficiently, enabling real-time processing without compromising performance, making it ideal for modern data-driven applications.
Best Practices
Incorporates industry-leading methodologies that ensure developers and data engineers can implement systems effectively, reducing the risk of errors and enhancing system reliability.
Comprehensive Insights
Provides deep knowledge into big data principles that empower users to make informed decisions, driving innovation and improved operational efficiency across multiple sectors.
Product Details
| Publisher | Manning |
| Publication date | May 10, 2015 |
| Edition | First Edition |
| Language | English |
| Print length | 328 pages |
| ISBN-10 | 1617290343 |
| ISBN-13 | 978-1617290343 |
| Item Weight | 1 pounds (450 grams) |
| Dimensions | 7.38 x 0.6 x 9.25 inches (18.7 x 1.5 x 23.5 cm) |
Who Should Buy?
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Data Engineers
Useful for data engineers seeking to design scalable and efficient real-time data systems with best practices.
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Students
Ideal for students studying data science or big data analytics to gain foundational knowledge and practical skills.
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Tech Leaders
Beneficial for tech leaders and decision-makers needing insights into implementing big data strategies in their organizations.
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Casual Readers
Not suitable for casual readers as it requires technical background and understanding of complex data systems.
Product Description
Big Data: Principles and best practices of scalable realtime data systems
About This Item
Product Description: Are you looking to understand the principles and best practices of scalable realtime data systems? Look no further than the "Big Data: Principles and best practices of scalable realtime data systems" 1st Edition book. This comprehensive guide dives deep into the world of scalable and realtime data systems, equipping you with the knowledge and skills to effectively handle massive amounts of data. Whether you're a data analyst, a software engineer, or a business owner, this book is a valuable resource that will help you harness the power of big data. The book covers a wide range of topics, including the principles behind scalable and realtime data systems. You'll learn about the best practices for designing and implementing these systems, ensuring they can handle large volumes of data and deliver results in real-time. With the rapid growth of data in today's digital age, it's essential to have a solid understanding of scalable systems.
This book not only explains the principles of scalability but also provides real-world examples and case studies, illustrating how these principles are applied in practice. Additionally, the book delves into the realm of realtime data systems, exploring their importance and providing insights into designing and implementing such systems. Real-time data is becoming increasingly crucial in various industries, and this book will help you stay ahead of the curve. In summary, "Big Data: Principles and best practices of scalable realtime data systems" 1st Edition is a must-have for anyone interested in understanding how to efficiently handle large volumes of data. Whether you're a data professional or a business owner looking to make data-driven decisions, this book will equip you with the knowledge and skills to succeed in the world of big data.
Don't miss out on this valuable resource – get your copy today and unlock the power of scalable and realtime data systems.
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Software Development Editorial Review
This book provides clear, well-ordered information on building the lambda architecture for processing big data. It is a valuable guide for implementing a system with batch and real-time layers. However, some readers have expressed disappointment with the physical quality of the book, with pages falling off and the binding breaking easily.
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Pros
- Provides clear and well-ordered information on building the lambda architecture
- Valuable guide for implementing a system with batch and real-time layers
- Gave a good idea of what Big Data is and how it's implemented
Cons
- Poor physical quality of the book
Product Price History
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USD 14
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Features & Benefits
- Learn to build big data systems using clustered hardware
- Guides through the theory, implementation, deployment, and operation of big data systems
- Presents the Lambda Architecture, a scalable approach that can be built and run by a small team
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