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Understanding functional and technical aspects of Oracle Big Data 2017 Certification Implementation Specialist Certification Exam 1z0-449 Core Hadoop

The following will be discussed here:

• Describe the Hive architecture
• Implement the Oracle Table Access for a Hadoop Connector
• Describe Hadoop High Availability
• Cloudera Enterprise Hadoop Distribution
• Identify the benefits of the Hadoop Distributed File System (HDFS)
• Describe the importance of Namenode, Datanode, JobTracker, TaskTracker in Hadoop
• Oracle Loader for Hadoop
• Explain the Hadoop Ecosystem
• Describe the architectural components of MapReduce
• Use Pig Latin to query data in HDFS
• Load Hadoop Distributed File System Data into an Oracle database
• Execute a Hive query
• Describe the differences between MapReduce and YARN
• Configure the online and offline options for the Oracle Loader for Hadoop
• Implement the data flow mechanism used in Flume
• Move data from a database to a Hadoop Distributed File System using Sqoop
• Core Hadoop
• Explain the Oracle Loader for Hadoop
• Describe the Impala real-time query and explain how it differs from Hive
• Implement the Hadoop Distributed File System
• Set up Hive with formatters and SerDe
• Create a database and table from a Hadoop Distributed File System file in Hive
• Use Flume in the Hadoop Distributed File System