Title
Big Data Using Hadoop and Hive,Used
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
- Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
Payment Option
This book is the basic guide for developers,architects, engineers, and anyone who wants to start leveraging the opensourcesoftware Hadoop and Hive to build distributed, scalable concurrent big data applications. Hive will be used for reading, writing, and managing the large, data set files. The book is a concise guide on getting started with an overall understanding onApache Hadoop and Hive and how they work together to speed up development with minimal effort. It will refer to simple concepts and examples, as they are likely to be the best teaching aids. It will explain the logic, code, and configurations needed to build a successful, distributed, concurrent application, as well as the reason behind those decisions.FEATURES:Shows how to leverage the opensource software Hadoop and Hive to build distributed, scalable, concurrent big data applications Includes material on Hive architecture with various storage types and the Hive query language Features a chapter on big data and how Hadoop can be used to solve the changes around it Explains the basic Hadoop setup, configuration, and optimization
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: What is the size of the book? A: The book measures seven point zero one inches in length, nine point zero two inches in height, and zero point five one inches in width.
- Q: How many pages does the book have? A: The book contains one hundred ninety-two pages, making it a concise guide for readers.
- Q: What type of binding does the book have? A: The book is available in paperback binding, which is lightweight and portable.
- Q: What is the main focus of this book? A: This book focuses on leveraging Hadoop and Hive for building big data applications, targeted at developers and engineers.
- Q: Who is the author of the book? A: The author of the book is Nitin Kumar, an expert in data processing.
- Q: What is the reading level for this book? A: This book is suitable for beginners, developers, and engineers looking to learn about big data processing.
- Q: How can I use the information in this book? A: You can use the techniques in this book to set up and optimize big data applications using Hadoop and Hive.
- Q: Is this book suitable for someone new to big data? A: Yes, the book is designed for beginners and provides a foundational understanding of big data concepts.
- Q: Can I learn about Hive architecture from this book? A: Yes, the book includes material on Hive architecture, various storage types, and the Hive query language.
- Q: How do I keep this book in good condition? A: To keep the book in good condition, store it in a cool, dry place and avoid exposure to moisture.
- Q: What is the shelf-life of this book? A: Books do not have a specific shelf-life; however, keeping it in good condition will ensure it lasts for many years.
- Q: Is there any warranty for this book? A: There is typically no warranty for books, but check the retailer's return policy for any issues.
- Q: What should I do if the book arrives damaged? A: If the book arrives damaged, contact the retailer's customer service for a potential return or exchange.
- Q: How does this book compare to other big data books? A: This book is concise and focuses specifically on Hadoop and Hive, making it a practical guide compared to others that may cover broader topics.
- Q: Is this book suitable for advanced users? A: While the book is beginner-friendly, advanced users may still find value in its clear explanations and practical examples.