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HADOOP Online Training

Hadoop online training demos, Demo videos are provided on demand and you can schedule a class anytime during the weekdays or on weekends since we have a new batch that starts every weekend.<br>

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HADOOP Online Training

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  1. Hadoop interview questions? For Free Demo Ph:+1 (646) 880-9474 For Details : Folkstrain.com

  2. 1.What is Hadoop Map Reduce ? • For process giant information sets in parallel across a hadoop cluster, Hadoop MapReduce framework is employed. Data info analysis uses a two step map and reduce process. • 2.How Hadoop MapReduce works? • In MapReduce, throughout the map part it counts the words in every document, where as with in the reduce part it aggregates the data as per the document spanning the whole assortment. Through out the map part the input file is split into splits for analysis by map tasks running in parallel across Hadoop framework. For Free Demo Ph:+1 (646) 880-9474 For Details : Folkstrain.com

  3. 3.Differentiate between Structured and Unstructured data? • Data which might be hold on in traditional database systems within the sort of rows and columns, as an example the online purchase transactions may be stated as Structured data. data which might be hold only partially in traditional(DBS) database systems. 4.Explain what is shuffling in MapReduce ? • The process by that the system performs the kind and transfers the map outputs to the reducer as inputs is understood because the shuffle. For Free Demo Ph:+1 (646) 880-9474 For Details : Folkstrain.com

  4. 5.On what concept the Hadoop framework works? 1) HDFS - Hadoop distributed file system is that the java primarily based classification system for ascendable and reliable storage of big datasets. information in HDFS is hold within the variety of blocks and it operates on the Master Slave design. 2) Hadoop MapReduce -This could be a java primarily based programming paradigm of Hadoop framework that gives measurability across numerous Hadoop clusters. MapReduce distributes the employment into numerous tasks which will run in parallel. For Free Demo Ph:+1 (646) 880-9474 For Details : Folkstrain.com

  5. 6.What are the main components of a Hadoop Application? • Core elements of a Hadoop application are: • Hadoop Common • HDFS • Hadoop MapReduce • YARN • 7.Explain what is distributed Cache in MapReduce Framework ? • Distributed Cache is a vital feature provided by map reduce framework. after you wish to share some files across all nodes in Hadoop Cluster, DistributedCache is employed. The files may be associate degree practicable jar files or easy properties file. For Free Demo Ph:+1 (646) 880-9474 For Details : Folkstrain.com

  6. 8.What is Hadoop streaming? Hadoop distribution includes a generic application programming interface for writing Map and scale back jobs in any desired programming language like Perl,Ruby,python etc. this is often said as Hadoop Streaming. Users will produce and run jobs with any quite shell scripts or feasible because the clerk or Reducers. 9.Explain what is NameNode in Hadoop? Hadoop distribution includes a generic application programming interface for writing Map and scale back jobs in any desired programming language like Perl,Ruby,python etc. this is often said as Hadoop Streaming. For Free Demo Ph:+1 (646) 880-9474 For Details : Folkstrain.com

  7. 10.What is the best hardware configuration to run Hadoop? The good configuration for execution Hadoop jobs is dual core machines or dual processors with 4GB or 8GB RAM that use computer code memory. Hadoop extremely edges from victimization computer code memory .it's not low - finish. computer code memory is usually recommended for running Hadoop as a result of most of the Hadoop users have older varied check errors by victimization non computer code memory. For Free Demo Ph:+1 (646) 880-9474 For Details : Folkstrain.com

  8. 11.What are the most commonly defined input formats in Hadoop? • There are three most common Input Formats defined in Hadoop are: • Text Input Format: It is the default input format defined in Hadoop. • Key Value Input Format: It input format is used for plain text files where in the files are broken down into lines. • Sequence File Input Format: It input format is used for reading files in sequence. For Free Demo Ph:+1 (646) 880-9474 For Details : Folkstrain.com

  9. 12.What do the four V’s of Big Data denote? simple explanation for the four critical features of big data: a) Volume –Scale of data b) Velocity –Analysis of streaming data c) Variety – Different forms of data d) Veracity –Uncertainty of data 13.Explain what is heartbeat in HDFS? Heartbeat is brought up a signal used between an information node and Name node, and between task tracker and job tracker, if the Name node or job tracker doesn't reply to the signal, then it's thought of there's some problems with data node or task tracker. For Free Demo Ph:+1 (646) 880-9474 For Details : Folkstrain.com

  10. 14. What is WebDAV in Hadoop? To support updating & editing files WebDAV may be a set of extensions to http. On most OS WebDAV shares are often mounted as file systems , therefore it's attainable to access HDFS as a customary filing system by exposing HDFS over WebDAV. 15.What is sqoop in Hadoop ? To transfer the data between Hadoop HDFS and Relational database management (RDBMS) tool is used known as Sqoop. Using Sqoop information is transferred from RDMS like MySQL or Oracle into HDFS likewise as mercantilism information from HDFS file to RDBMS. For Free Demo Ph:+1 (646) 880-9474 For Details : Folkstrain.com

  11. Thank You For Free Demo Ph:+1 (646) 880-9474 For Details : Folkstrain.com

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