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BigData / Hadoop basics

Explain Hadoop Common module.

This library provide filesystem and OS level abstractions and includes the necessary Java files and scripts required to start Hadoop.

This module is required by other Hadoop modules.

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What is Apache Hadoop? Hadoop Core modules. Applications of Hadoop. What is Big Data? Apache Hadoop Deployment modes. Advantages of using Apache Hadoop. HDFS. What are the advantages of using HDFS? Describe HDFS Architecture. What is NameNode? What is DataNode? What is Secondary NameNode? What is Backup Node? What are the 5 V's of Big Data? How Data is stored in HDFS? Explain the data flow in Hadoop system. What are the most commonly used Input Formats in Hadoop ? What is Functional Programming? What are the different Distributed Programming available on Hadoop system? What are the available output formats in Hadoop system? Difference between fsImage and editLog file. What is checkpointing in HDFS? The Controls that trigger the checkpoint reconciliation process. What is Data block size in HDFS? What happens to the existing data if the block size is changed in HDFS? What is the single point of failure in a Hadoop cluster? What is Replication factor in HDFS? How does Tweaking block size affect the system? Explain HDFS Data Write Pipeline Workflow. Explain HDFS Read a file workflow. Explain Hadoop Common module. Difference between Hadoop MapReduce and Apache spark.

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Hadoop MapReduce

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Hadoop basics 33 Hadoop MapReduce 7 Apache Spark 23 TensorFlow 6

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