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1049750
Hadoop: The Definitive Guide: Storage and Analysis at Internet Scale 4th Edition
Item #:
1049750
DKK 248
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What Stands Out
Comprehensive Coverage
This guide provides in-depth understanding of Hadoop's framework, covering storage and data analysis comprehensively, making it essential for both beginners and experienced users seeking to leverage big data.
Expert Insights
Authored by leading Hadoop experts, the book offers practical insights, real-world applications, and advanced techniques, empowering readers to maximize Hadoop's capabilities in managing and processing large datasets.
Updated Content
The fourth edition includes the latest Hadoop developments and tools, ensuring readers gain relevant knowledge and skills to stay competitive in the evolving big data landscape.
Product Details
- Get ready to unlock the power of your data. With the fourth edition of this comprehensive guide, youâ??ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. Using Hadoop 2 exclusively, author Tom White presents new chapters on YARN and several Hadoop-related projects such as Parquet, Flume, Crunch, and Spark. Youâ??ll learn about recent changes to Hadoop, and explore new case studies on Hadoopâ??s role in healthcare systems and genomics data processing. Learn fundamental components such as MapReduce, HDFS, and YARN Explore MapReduce in depth, including steps for developing applications with it Set up and maintain a Hadoop cluster running HDFS and MapReduce on YARN Learn two data formats: Avro for data serialization and Parquet for nested data Use data ingestion tools such as Flume (for streaming data) and Sqoop (for bulk data transfer) Understand how high-level data processing tools like Pig, Hive, Crunch, and Spark work with Hadoop Learn the HBase distributed database and the ZooKeeper distributed configuration service
| Publisher | O'Reilly Media |
| Publication date | May 5, 2015 |
| Edition | 4th |
| Language | English |
| Print length | 754 pages |
| ISBN-10 | 1491901632 |
| ISBN-13 | 978-1491901632 |
| Item Weight | 2.31 pounds (1.05 kg) |
| Dimensions | 7.25 x 1.75 x 9.25 inches (18.4 x 4.4 x 23.5 cm) |
Who Should Buy?
-
Data Engineers
Ideal resource for data engineers seeking to implement and manage large-scale data processing systems using Hadoop.
-
Big Data Analysts
Perfect for analysts who need to understand and analyze massive datasets efficiently using Hadoop's ecosystem.
-
IT Students
Beneficial for students specializing in data science or IT, providing foundational knowledge on Hadoop technologies.
-
Beginners
May be overwhelming for those new to programming or data concepts, given its technical depth and complexity.
-
Non-Technical Users
Inadequate for users with no technical background, as it does not simplify complex concepts related to Hadoop.
-
Small Scale Projects
Not suitable for individuals or projects that do not require big data solutions or complex data processing.
Product Description
Have any Query? Chat with us
Customer Questions & Answers
-
Question:
What is Hadoop: The Definitive Guide about?
Answer: Hadoop: The Definitive Guide offers an in-depth exploration of the Hadoop framework for processing and analyzing vast amounts of data. It covers the architecture, components, and ecosystem of Hadoop, making it essential for developers, data scientists, and analysts. This guide not only explains how to set up Hadoop but also includes practical examples, best practices, and advanced techniques. Whether you're just starting or looking to optimize your Hadoop applications, this book provides valuable insights that enhance your understanding and use of big data technologies. -
Question:
Who is the author of Hadoop: The Definitive Guide?
Answer: The author of Hadoop: The Definitive Guide is Tom White, a well-regarded figure in the field of big data and distributed computing. Tom White brings a wealth of experience and knowledge to the table, having contributed significantly to the Hadoop community. His expertise shines through in this guide, offering readers a comprehensive understanding of Hadoop. Many readers appreciate his clear explanations and practical approach, making complex concepts accessible to a variety of skill levels, from beginners to advanced users. -
Question:
What topics does the 4th edition cover that are different from previous editions?
Answer: The 4th edition of Hadoop: The Definitive Guide includes updated content reflecting the latest advancements in the Hadoop ecosystem. It covers new features introduced in recent versions of Hadoop, such as improvements in data processing, newer components like Apache Spark, and enhanced security measures. The revision includes real-world case studies and examples, providing practical insights into how businesses leverage Hadoop for big data challenges. This edition is particularly beneficial for users looking to stay current with emerging trends and technologies in data processing. -
Question:
Is this guide suitable for beginners?
Answer: Yes, Hadoop: The Definitive Guide is suitable for beginners as well as experienced professionals. The author, Tom White, skillfully explains fundamental concepts in a straightforward manner, making it accessible for those new to big data. Each chapter builds upon the previous one, allowing readers to gradually acquire knowledge without feeling overwhelmed. For novices, the book starts with the basics, while later chapters delve into complex topics and use cases, providing a well-rounded foundation for all readers interested in data analysis and storage. -
Question:
How can I use Hadoop in my projects?
Answer: You can use Hadoop in a variety of projects that involve large-scale data storage and analysis. For instance, if you are dealing with big data from user interactions, Hadoop allows you to store this data efficiently and perform batch processing to extract insights. In fields like finance, healthcare, and marketing, organizations utilize Hadoop for tasks such as data warehousing, machine learning, and predictive analytics. This guide helps you understand not only how to set up your Hadoop environment but also how to implement data-driven solutions effectively. -
Question:
What are the prerequisites to understand this guide?
Answer: To get the most out of Hadoop: The Definitive Guide, a basic understanding of programming, particularly in Java, is helpful, as Hadoop is Java-based. Familiarity with data structures and algorithms will also enhance your comprehension of the concepts discussed. Moreover, knowledge of distributed systems and databases can provide additional context for the material. However, the book is designed to build on foundational knowledge, making it accessible even for those with limited technical backgrounds who are motivated to learn. -
Question:
Can I find real-world examples in this guide?
Answer: Absolutely! Hadoop: The Definitive Guide features several real-world examples and case studies that illustrate how organizations implement Hadoop for big data solutions. These examples cover a diverse range of applications, from social media analytics to financial fraud detection, showcasing the versatility of Hadoop. By analyzing these use cases, readers can gain insights into how companies optimize their use of data, informing their projects and strategies in practical ways. This approach helps bridge the gap between theory and practice, leading to actionable insights. -
Question:
How does Hadoop compare to other big data technologies?
Answer: Hadoop is often compared to other big data frameworks such as Apache Spark and Apache Flink. While Hadoop excels at batch processing large datasets, Spark is optimized for in-memory processing, making it faster for certain tasks like iterative algorithms. However, Hadoop’s vast ecosystem supports a variety of tools that enhance its capabilities, such as Hive for SQL-like querying and HBase for NoSQL databases. Depending on your project’s requirements, understanding these differences helps you choose the right tool for data processing and analysis. -
Question:
Where can I buy Hadoop: The Definitive Guide: Storage and Analysis at Internet Scale 4th Edition in Denmark?
Answer: You can buy Hadoop: The Definitive Guide: Storage and Analysis at Internet Scale 4th Edition from Ubuy. Ubuy offers a convenient platform for acquiring this comprehensive guide with various options for delivery. You can explore their website to find this essential resource along with other related products. Ubuy provides access to a reliable selection of literature on big data technologies, making it a great choice for anyone interested in enhancing their data analysis skills. -
Question:
Does this guide include online resources or a companion website?
Answer: The 4th edition of Hadoop: The Definitive Guide does not include a companion website, but it offers numerous references to additional resources throughout the text. Readers looking for supplemental learning materials, such as online courses or tutorials, can appreciate how the book encourages further exploration of Hadoop's ecosystem. Additionally, many community forums and websites provide support for users seeking to implement concepts from the book. This approach fosters a rich learning environment where readers can expand their understanding of Hadoop beyond the pages.
Software Development Editorial Review
In a review of the book "Hadoop: The Definitive Guide: Storage and Analysis at Internet Scale 4th Edition," customers found it to be a comprehensive and insightful resource for understanding Hadoop. While some cautioned that it may not be suitable for beginners due to its complexity, others praised it as an excellent source of material for working with Hadoop, providing valuable insight into the concepts and ecosystem. Despite being printed in 2015, customers noted that the content remained highly relevant to today's Hadoop systems.
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Pros
- Comprehensive and insightful resource for understanding Hadoop
- Excellent source of material for working with Hadoop
- Valuable insight into the concepts and ecosystem
Cons
- Not suitable for beginners due to complexity
Product Price History
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DKK 248
Order now and get it around Wednesday, July 01
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QTY:
Only 1 item left in stock.
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.
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Features & Benefits
- Build and maintain reliable, scalable, distributed systems with Apache Hadoop
- Ideal for programmers and administrators looking to analyze and manage datasets
- New chapters on YARN and projects like Parquet, Flume, Crunch, and Spark
- Learn fundamental components like MapReduce, HDFS, and YARN
- Explore data formats, data ingestion tools, and high-level data processing tools
- Understand HBase distributed database and ZooKeeper distributed configuration service