 Название: Learn Hadoop in 24 Hours
Автор: Alex Nordeen
Издательство: Independently published
Год: 2021
Страниц: 188
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB
Hadoop has changed the way large data sets are analyzed, stored, transferred, and processed. At such low cost, it provides benefits like supports partial failure, fault tolerance, consistency, scalability, flexible schema, and so on. It also supports cloud computing. More and more number of individuals are looking forward to mastering their Hadoop skills.
While initiating with Hadoop, most users are unsure about how to proceed with Hadoop. They are not aware of what are the pre-requisite or data structure they should be familiar with. Or How to make the most efficient use of Hadoop and its ecosystem. To help them with all these queries and other issues this e-book is designed.
The book gives insights into many of Hadoop libraries and packages that are not known to many Big data Analysts and Architects. The e-book also tells you about Hadoop MapReduce and HDFS. The example in the e-book is well chosen and demonstrates how to control Hadoop ecosystem through various shell commands. With this book, users will gain expertise in Hadoop technology and its related components. The book leverages you with the best Hadoop content with the lowest price range.
Contents:
Chapter 1: What Is Big Data
1. Examples Of 'Big Data'
2. Categories Of 'Big Data'
3. Characteristics Of 'Big Data'
4. Advantages Of Big Data Processing
Chapter 2: Introduction to Hadoop
1. Components of Hadoop
2. Features Of 'Hadoop'
3. Network Topology In Hadoop
Chapter 3: Hadoop Installation
Chapter 4: HDFS
1. Read Operation
2. Write Operation
3. Access HDFS using JAVA API
4. Access HDFS Using COMMAND-LINE INTERFACE
Chapter 5: Mapreduce
1. How MapReduce works
2. How MapReduce Organizes Work?
Chapter 6: First Program
1. Understanding MapReducer Code
2. Explanation of SalesMapper Class
3. Explanation of SalesCountryReducer Class
4. Explanation of SalesCountryDriver Class
Chapter 7: Counters & Joins In MapReduce
1. Two types of counters
2. MapReduce Join
Chapter 8: MapReduce Hadoop Program To Join Data
Chapter 9: Flume and Sqoop
1. What is SQOOP in Hadoop?
2. What is FLUME in Hadoop?
3. Some Important features of FLUME
Chapter 10: Pig
1. Introduction to PIG
2. Create your First PIG Program
3. PART 1) Pig Installation
4. PART 2) Pig Demo
Chapter 11: OOZIE
1. What is OOZIE?
2. How does OOZIE work?
3. Example Workflow Diagram
4. Oozie workflow application
5. Why use Oozie?
6. FEATURES OF OOZIE
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