Hadoop: What You Need to Know

Table of contents

1. Hadoop: What You Need to Know
   1. An Introduction to Hadoop and the Hadoop Ecosystem
      1. Core Apache Hadoop
      2. The Hadoop Ecosystem
   2. Hadoop Masks Being a Distributed System
   3. Hadoop Scales Out Linearly
   4. Hadoop Runs on Commodity Hardware
   5. Hadoop Handles Unstructured Data
   6. In Hadoop You Load Data First and Ask Questions Later
      1. The Benefits of Schema-on-Read
   7. Hadoop is Open Source
   8. The Hadoop Distributed File System Stores Data in a Distributed, Scalable, Fault-Tolerant Manner
      1. The NameNode Runs the Show and the DataNodes Do All the Work
      2. HDFS Stores Files in Three Places
      3. Files in HDFS Can’t Be Edited
      4. The NameNode Can Be HDFS’s Achilles’ Heel
   9. YARN Allocates Cluster Resources for Hadoop
      1. Developers Don’t Need to Know Much About YARN
   10. MapReduce is a Framework for Analyzing Data
       1. Map and Reduce Use the Notion of Shared Nothing
       2. Data Locality is One of the Main Reasons Hadoop is Scalable
       3. There Are Alternatives to MapReduce
       4. MapReduce is “Slow”
   11. Summary
   12. Further Reading