Hadoop Technical Assignment Help
Introduction to Hadoop Assignment Services
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Hadoop is an open-source, Java based programming framework used for distribution of large data sets, fast storing and fault tolerance of data processing.
Hadoop is based on four basic components;
- Hadoop Common is the set of Hadoop utilities to support other modules.
- Hadoop Distributed File System (HDFS) is a file system that provides reliable data storage and access to all the nodes. It links together the file systems on local nodes.
- MapReduce is a programming framework of Hadoop for writing applications to process a large number of structured and unstructured data with a fault-tolerant.
- Yet another Resource Negotiator (YARN) is a management technique that is used for program designing.
Hadoop is a data storage framework that runs several servers in a cluster.
Hadoop uses the Customer’s requirement understanding technique. Businesses like finance, telecom and social media use this technology to find out the consumer's requirement by analysis of a huge database to get accurate information about customers.
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Hadoop technology is used for government and industry survey processes to make an accurate decision for a country's growth. TutorDollar cover the following topics in- depth for understanding this technology in easy way; Basic Concepts, MapReduce, The Hadoop Distributed File system, YARN, Hadoop I/O, Developing a Map Reduce Application, How map Reduce Work, Map Reduce Features, Administering hadoop, Zookeeper, HBase, Spark, Crunch, Hive, Pig, Sqoop, Flume, Parquet, Avro, Cascading, Composable data at Cerner, Biological Data Science: Saving Lives with Software, CNN ( Convolutional Neural Network), RNN ( Recurrent Neural Network), RBM ( Restricted Boltzmann Machine), Autoencoders.
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