Hadoop Developer In Real World

Hadoop Developer In Real World, Free Cluster Access * HDFS * MapReduce * YARN * Pig * Hive * Flume * Sqoop * AWS * EMR * Optimization * Troubleshooting

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Created by Hadoop In Real World

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English, Indonesian [Auto-generated], 4 more

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What you'll learn

• Understand what is Big Data, the challenges with Big Data and how Hadoop propose a solution for the Big Data problem
• Work and navigate Hadoop cluster with ease
• Install and configure a Hadoop cluster on cloud services like Amazon Web Services (AWS)
• Understand the difference phases of MapReduce in detail
• Write optimized Pig Latin instruction to perform complex data analysis
• Write optimized Hive queries to perform data analysis on simple and nested datasets
• Work with file formats like SequenceFile, AVRO etc
• Understand Hadoop architecture, Single Point Of Failures (SPOF), Secondary/Checkpoint/Backup nodes, HA configuration and YARN
• Tune and optimize slowing running MapReduce jobs, Pig instructions and Hive queries
• Understand how Joins work behind the scenes and will be able to write optimized join statements
• Wherever possible, students will be introduced to difficult questions that are asked in real Hadoop interviews
• Requirements
• Although you don't have to be an expert in Java, basic knowledge in Java programming is required as we will be looking at programs in Java.
• Basic Linux commands