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Hadoop Interview Questions and Answers
  6/29/2016 Top 100 Hadoop Interview Questions and Answers 2016https://www.dezyre.com/article/top-100-hadoop-interview-questions-and-answers-2016/159 1/21 Top 100 Hadoop Interview Questions and Answers2016 21 Aug 2015 Latest Update made on May 20, 2016.  Big Data and Hadoop is a constantly changing field which required people to quickly upgrade their skills, tofit the requirements for Hadoop related jobs. If you are applying for a Hadoop job role, it is best to beprepared to answer any Hadoop interview question that might come your way. We will keep updating this list of Hadoop Interview questions, to suit the current industry standards. If you would like more information about Big Data careers, ple ase click the orang e Request Info button on top of this pa ge. With more than 30,000 open Hadoop developer jobs, professionals must familiarize themselves with theeach and every component of the Hadoop ecosystem to make sure that they have a deep understanding ofwhat Hadoop is so that they can form an effective approach to a given big data problem. To help you getstarted, DeZyre presented a comprehensive list of Top 50 Hadoop Developer Interview Questions askedduring recent Hadoop job interviews.With the help of DeZyre’s Hadoop Instructors, we have put together a detailed list of Hadoop latestinterview questions based on the different components of the Hadoop Ecosystem such as MapReduce,Hive, HBase, Pig, YARN, Flume, Sqoop, HDFS, etc. We had to spend lots of hours researching and deliberating on what are the best possible answers to theseinterview questions. We would love to invite people from the industry – hadoop developers, hadoopadmins and architects to kindly help us and everyone else – with answering the unanswered questions.Here are top Hadoop Developer Interview Questions and Answers based on different components of theHadoop Ecosystem- 1) Hadoop Basic Interview Questions2) Hadoop HDFS Interview Questions3) MapReduce Interview Questions 02 Jul Sat and Sun (5 weeks) 7:00 AM to 11:00 AM PST 09 Jul Sat and Sun (5 weeks) 7:00 AM - 11:00 AM PST 17 Jul Sun to Thurs (4 weeks) 6:30 PM - 8:30 PM PST Upcoming Live Online Hado Relevant CoursesBlog Categories Hadoop Online Training  Apache Spark Training  Data Science in Python Trainin  Data Science in R Language T  Salesforce Certification Trainin  NoSQL Database Training  Hadoop Admin Training  Big Data  CRM  Data Science   6/29/2016 Top 100 Hadoop Interview Questions and Answers 2016https://www.dezyre.com/article/top-100-hadoop-interview-questions-and-answers-2016/159 2/21 4) Hadoop HBase Interview Questions5) Hadoop Sqoop Interview Questions6) Hadoop Flume Interview Questions7) Hadoop Zookeeper Interview Questions8) Pig Interview Questions9) Hive Interview Questions10) Hadoop YARN Interview Questions Big Data Hadoop Interview Questions and Answers These are Hadoop Basic Interview Questions and Answers for freshers and experienced. 1. What is Big Data? Click here to TweetBig data is defined as the voluminous amount of structured, unstructured or semi-structured data that hashuge potential for mining but is so large that it cannot be processed using traditional database systems. Bigdata is characterized by its high velocity, volume and variety that requires cost effective and innovativemethods for information processing to draw meaningful business insights. More than the volume of the data – it is the nature of the data that defines whether it is considered as Big Data or not.Here is an interesting and explanatory visual on “What is Big Data?” Hadoop Training- What is Big Data by DeZyre....   2. What do the four V’s of Big Data denote?  Click here to TweetIBM has a nice, 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 dataHere is an explanatory video on the four V’s of Big Data You might also likeTutorials Mobile App Development  NoSQL Database  Web Development  Global Big Data & Hadoop DeSalaries Review  Apache Kafka – Next Generati Messaging System  Sqoop Interview Questions an 2016  Working with Spark RDD for F Processing  Improve Your LinkedIn Profile right Hadoop Job!  Top 5 Apache Spark Use Case  Life Cycle of a Data Science P  Recap of Data Science News f  Recap of Apache Spark News  Recap of Hadoop News for Ma  Apache Spark Tutorial–Run yo Program  PySpark Tutorial-Learn to use with Python  R Tutorial- Learn Data Visualiz using GGVIS  Neural Network Training Tutori  Python List Tutorial  MatPlotLib Tutorial  Decision Tree Tutorial  Neural Network Tutorial  Performance Metrics for Machi Algorithms  R Tutorial: Data.Table  SciPy Tutorial  Step-by-Step Apache Spark InTutorial  Introduction to Apache Spark T  R Tutorial: Importing Data from   6/29/2016 Top 100 Hadoop Interview Questions and Answers 2016https://www.dezyre.com/article/top-100-hadoop-interview-questions-and-answers-2016/159 3/21 Hadoop Training- Four   V's   of  Big Data by DeZyre... 3. How big data analysis helps businesses increase their revenue? Give example. Click here to TweetBig data analysis is helping businesses differentiate themselves – for example Walmart the world’s largestretailer in 2014 in terms of revenue - is using big data analytics to increase its sales through betterpredictive analytics, providing customized recommendations and launching new products based oncustomer preferences and needs. Walmart observed a significant 10% to 15% increase in online sales for$1 billion in incremental revenue. There are many more companies like Facebook, Twitter, LinkedIn,Pandora, JPMorgan Chase, Bank of America, etc. using big data analytics to boost their revenue.Here is an interesting video that explains how various industries are leveraging big data analysis toincrease their revenue Hadoop Training- Top   10   industries   using  Big Da... 4. Name some companies that use Hadoop.  Click here to tweet this questionYahoo (One of the biggest user & more than 80% code contributor to Hadoop) Facebook Netflix Amazon Adobe eBay Hulu Spotify Rubikloud Twitter What companies are you applying to for Hadoop job roles? SUBMIT Click on this link to view a detailed list of some of the top companies using Hadoop. R Tutorial: Importing Data from Database  R Tutorial: Importing Data from  Introduction to Machine Learni  Machine Learning Tutorial: LinRegression  Machine Learning Tutorial: LogRegression  Support Vector Machine Tutori  K-Means Clustering Tutorial  dplyr Manipulation Verbs  Introduction to dplyr package  Importing Data from Flat Files i  Principal Component Analysis  Pandas Tutorial Part-3  Pandas Tutorial Part-2  Pandas Tutorial Part-1  Tutorial- Hadoop Multinode Clu Ubuntu  Data Visualizations Tools in R  R Statistical and Language tut  Introduction to Data Science wi  Apache Pig Tutorial: User Defi Example  Apache Pig Tutorial Example: Server Analytics  Impala Case Study: Web Traffi  Impala Case Study: Flight Dat  Hadoop Impala Tutorial  Apache Hive Tutorial: Tables  Flume Hadoop Tutorial: Twitter Extraction  Flume Hadoop Tutorial: Websi Aggregation  Hadoop Sqoop Tutorial: Exam Export  Hadoop Sqoop Tutorial: Exam Aggregation  Apache Zookepeer Tutorial: E Watch Notification  Apache Zookepeer Tutorial: CConfiguration Management  Hadoop Zookeeper Tutorial  Hadoop Sqoop Tutorial  Hadoop PIG Tutorial  Hadoop Oozie Tutorial   6/29/2016 Top 100 Hadoop Interview Questions and Answers 2016https://www.dezyre.com/article/top-100-hadoop-interview-questions-and-answers-2016/159 4/21 5. Differentiate between Structured and Unstructured data. Click here to TweetData which can be stored in traditional database systems in the form of rows and columns, for example theonline purchase transactions can be referred to as Structured Data. Data which can be stored only partiallyin traditional database systems, for example, data in XML records can be referred to as semi structureddata. Unorganized and raw data that cannot be categorized as semi structured or structured data isreferred to as unstructured data. Facebook updates, Tweets on Twitter, Reviews, web logs, etc. are allexamples of unstructured data. 6. On what concept the Hadoop framework works?  Click here to TweetHadoop Framework works on the following two core components-1)HDFS – Hadoop Distributed File System is the java based file system for scalable and reliable storage oflarge datasets. Data in HDFS is stored in the form of blocks and it operates on the Master SlaveArchitecture.2)Hadoop MapReduce-This is a java based programming paradigm of Hadoop framework that providesscalability across various Hadoop clusters. MapReduce distributes the workload into various tasks that canrun in parallel. Hadoop jobs perform 2 separate tasks- job. The map job breaks down the data sets intokey-value pairs or tuples. The reduce job then takes the output of the map job and combines the datatuples to into smaller set of tuples. The reduce job is always performed after the map job is executed.Here is a visual that clearly explain the HDFS and Hadoop MapReduce Concepts-  Hadoop Training- Denition   of  Hadoop Ecosyst ...   7) What are the main components of a Hadoop Application?  Click here to TweetHadoop applications have wide range of technologies that provide great advantage in solving complexbusiness problems.Core components of a Hadoop application are-1) Hadoop Common2) HDFS3) Hadoop MapReduce4) YARNData Access Components are - Pig and Hive Online Courses Hadoop NoSQL Database Tut  Hadoop Hive Tutorial  Hadoop HDFS Tutorial  Hadoop hBase Tutorial  Hadoop Flume Tutorial  Hadoop 2.0 YARN Tutorial  Hadoop MapReduce Tutorial  Big Data Hadoop Tutorial for BHadoop Installation  Hadoop Training  Spark Certification Training  Data Science in Python  Data Science inR  Data Science Training  Hadoop Training in California  Hadoop Training in New York  Hadoop Training in Texas  Hadoop Training in Virginia  Hadoop Training in Washingto  Hadoop Training in New Jerse 
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