Title
Hadoop: The Definitive Guide: Storage And Analysis At Internet Scale
Delivery time: 8-12 business days (International)
Get Ready To Unlock The Power Of Your Data. With The Fourth Edition Of This Comprehensive Guide, You??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 Hadooprelated Projects Such As Parquet, Flume, Crunch, And Spark. You??Ll Learn About Recent Changes To Hadoop, And Explore New Case Studies On Hadoop??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 Highlevel Data Processing Tools Like Pig, Hive, Crunch, And Spark Work With Hadoop Learn The Hbase Distributed Database And The Zookeeper Distributed Configuration Service
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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What topics are covered in 'Hadoop: The Definitive Guide'? A: The book covers a wide range of topics including MapReduce, HDFS, YARN, data ingestion tools like Flume and Sqoop, high-level data processing tools such as Pig and Hive, and insights into Hadoop's application in fields like healthcare and genomics.
- Q: Is this book suitable for beginners in Hadoop? A: Yes, the book is ideal for both beginners and experienced users. It provides foundational knowledge and gradually advances to more complex concepts, making it accessible for programmers and administrators alike.
- Q: What edition of the book is available? A: This listing is for the fourth edition of 'Hadoop: The Definitive Guide', which includes updates and new chapters on YARN and other Hadoop-related projects.
- Q: How many pages does the book have? A: The book contains 754 pages packed with valuable information on Hadoop and its components.
- Q: Who is the author of this book? A: The book is authored by Tom White, who is recognized for his expertise in Hadoop and data processing.
- Q: What is the publication date of this book? A: The book was published on May 5, 2015.
- Q: What is the binding type of this book? A: This product is available in paperback binding.
- Q: Can this book help with setting up a Hadoop cluster? A: Yes, the book provides guidance on setting up and maintaining a Hadoop cluster that runs on HDFS and MapReduce using YARN.
- Q: Does this book include case studies? A: Yes, it includes new case studies that illustrate Hadoop's role in real-world scenarios, particularly in healthcare systems and genomics data processing.
- Q: What prerequisites do I need to understand this book? A: While no specific prerequisites are required, a basic understanding of programming concepts and familiarity with data processing would be beneficial for readers.