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Hadoop Training course helps you learn the core techniques and concepts of Data and Hadoop ecosystem. It equips you with in-depth knowledge of writing codes using MapReduce framework and managing large data sets with HBase.
Hadoop Training course helps you learn the core techniques and concepts of Data and Hadoop ecosystem. It equips you with in-depth knowledge of writing codes using MapReduce framework and managing large data sets with HBase.
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Hadoop Training course helps you learn the core techniques and concepts of Data and Hadoop ecosystem. It equips you with in-depth knowledge of writing codes using MapReduce framework and managing large data sets with HBase. The topics covered in this course mainly includes- Hive, Pig and setup of Hadoop Cluster.
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Hadoop is an open-source framework for distributed storage and processing of large data sets. Key components include HDFS (storage), MapReduce (processing), YARN (resource management), and Hadoop Common (utilities). Its architecture follows a master-slave model with Master Nodes (NameNode, JobTracker) managing data and tasks, and Slave Nodes (DataNodes, TaskTrackers) storing data and performing computations. Hadoop is used in data warehousing, business intelligence, machine learning, and large-scale data processing, making it essential for big data applications. Feel free to download the PPT for more detailed information
This Big Data Hadoop certification program is structured by professionals and experienced course curators to provide you with an in-depth understanding of the Hadoop and Spark Big Data platforms and the frameworks which are used by them. With the help of the Integrated Laboratory session, you will work upon and complete real-world, industry-based projects in this course
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