Cloudera Developer Training for Apache Hadoop

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　　·The Motivation For Hadoop
· Problems with traditional large-scale systems
· Requirements for a new approach
　　· Hadoop Basic Concepts
· An Overview of Hadoop
· The Hadoop Distributed File System
· How MapReduce Works
· Anatomy of a Hadoop Cluster
· Other Hadoop Ecosystem Components
　　· Writing a MapReduce Program
· The MapReduce Flow
· Examining a Sample MapReduce Program
· Basic MapReduce API Concepts
· The Driver Code
· The Mapper
· The Reducer
· Hadoop’s Streaming API
· Using Eclipse for Rapid Development
　　· Integrating Hadoop Into The Workflow
· Relational Database Management Systems
· Storage Systems
· Creating workflows with Oozie
· Importing Data from RDBMSs With Sqoop
· Importing Real-Time Data with Flume
· Accessing HDFS Using FuseDFS and Hoop
　　· Delving Deeper Into The Hadoop API
· Using Combiners
· Using LocalJobRunner Mode for Faster Development
· Reducing Intermediate Data with Combiners
· The configure and close methods for MapReduce
　　Setup and Teardown
· Writing Partitioners for Better Load Balancing
· Directly Accessing HDFS
· Using The Distributed Cache
　　· Using Hive and Pig
· Hive Basics
· Pig Basics
　　· Common MapReduce Algorithms
· Sorting and Searching
· Indexing
· Machine Learning with Mahout
· Term Frequency - Inverse Document Frequency
· Word Co-Occurrence
　　· Practical Development Tips and Techniques
· Testing with MRUnit
· Debugging MapReduce Code
· Using LocalJobRunner Mode for Easier Debugging
· Eclipse development techniques
· Retrieving Job Information with Counters
· Logging
· Splittable File Formats
· Determining the Optimal Number of Reducers
· Map-Only MapReduce Jobs
· Implementing Multiple Mappers using ChainMapper
　　· More Advanced MapReduce Programming
· Custom Writables and WritableComparables
· Saving Binary Data using SequenceFiles and Avro Files
· Creating InputFormats and OutputFormats
　　· Joining Data Sets in MapReduce Jobs
· Map-Side Joins
· The Secondary Sort
· Reduce-Side Joins
　　· Graph Manipulation in Hadoop
· Introduction to graph techniques
· Representing Graphs in Hadoop
· Implementing a sample algorithm: Single Source
· Shortest Path
　　· Creating Workflows with Oozie
· The Motivation for Oozie
· Oozie’s Workflow Definition Format