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Hadoop: The Definitive Guide: Storage And Analysis At Internet Scale
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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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- Q: How many pages does this book have? A: This book has seven hundred fifty-four pages. It provides in-depth coverage on Apache Hadoop to help readers understand data analysis.
- Q: What is the size of this book? A: The book measures seven point twenty-five inches in length, one point seventy-five inches in width, and nine point twenty-five inches in height. This makes it a standard paperback size for easy handling.
- Q: What type of binding is used for this book? A: This book is bound in paperback. This binding makes it lightweight and portable for readers.
- Q: Who is the author of this book? A: The author of this book is Tom White. He is well-known for his expertise in Apache Hadoop and data analysis.
- Q: What is the main subject of this book? A: The main subject of this book is data mining and analysis using Apache Hadoop. It covers building scalable and reliable distributed systems.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners as well as experienced programmers. It provides comprehensive guidance on Hadoop concepts and applications.
- Q: How can I use the knowledge from this book? A: You can use the knowledge from this book to set up and maintain Hadoop clusters. It teaches practical skills for data analysis and system management.
- Q: What is the reading level of this book? A: This book is designed for an audience with a basic understanding of programming. It is ideal for both programmers and system administrators.
- Q: How should I care for this book? A: To care for this book, keep it in a dry place and avoid exposing it to direct sunlight. This will help maintain its condition over time.
- Q: Can I lend this book to others? A: Yes, you can lend this book to others. Just ensure it is returned in good condition for future reference.
- Q: What if the book arrives damaged? A: If the book arrives damaged, you should contact the seller for a return or exchange. Most sellers provide a return policy for such issues.
- Q: Is there a warranty on this book? A: No, there is typically no warranty on books. However, you can check with the seller for their specific return policies.
- Q: What topics are covered in this book? A: This book covers topics such as MapReduce, HDFS, YARN, and data ingestion tools like Flume and Sqoop. It also explores high-level data processing tools.
- Q: Are there case studies included in this book? A: Yes, the book includes new case studies on Hadoop's applications in healthcare and genomics data processing. These real-world examples enhance understanding.
- Q: Is this book applicable for advanced users? A: Yes, advanced users will also find valuable insights in this book. It delves into new chapters on YARN and Hadoop-related projects.
- Q: What is the publisher of this book? A: The publisher of this book is O'Reilly Media. They are known for their quality technical publications.