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Top 100 Hadoop Interview Questions and Answeres
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  03/07/2016 Top 100 Hadoop Interview Questions and Answers 2016https://www.dezyre.com/article/top-100-hadoop-interview-questions-and-answers-2016/159 1/25 Call us 1-844-696-6465 (US Toll Free)HomeCourses BlogTutorialsInterview QuestionsSign In Build Projects, Learn Skills, Get Hired Request Info Top 100 Hadoop Interview Questions and Answers2016 21 Aug 2015  Latest Update made on July 1st, 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 be prepared to answer any Hadoop interview question that might come your way. We will keep updating this listof Hadoop Interview questions, to suit the current industry standards.  If you would like more information about Big Data careers, please click the orange Request Info button ontop of this page. With more than 30,000 open Hadoop developer jobs, professionals must familiarize themselves with the eachand ever y com ponent of the Hadoop ecosystem to make sure that they have a deep understanding of whatHadoop is so that they can form an effective approach to a given big data problem. To help you get started,DeZyre presented a com prehensive list of Top 50 Hadoop Developer Interview Questions asked during recent Hadoop job interviews.With the help of  DeZyre’s Hadoop Instructors, we have put together a detailed list of Hadoop latest interview 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, hadoopProject Experience  03/07/2016 Top 100 Hadoop Interview Questions and Answers 2016https://www.dezyre.com/article/top-100-hadoop-interview-questions-and-answers-2016/159 2/25 admins 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 Questions4) 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?”  03/07/2016 Top 100 Hadoop Interview Questions and Answers 2016https://www.dezyre.com/article/top-100-hadoop-interview-questions-and-answers-2016/159 3/25 Hadoop Training- What is Big Data by DeZyre.com   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 Hadoop Training- Four V's of Big Data by DeZyre.com 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 better predictiveanalytics, providing customized recommendations and launching new products based on customer  preferences and needs. Walmart observed a significant 10% to 15% increase in online sales for $1 billion inincremental revenue. There are many more companies like Facebook, Twitter, LinkedIn, Pandora, JPMorganChase, Bank of America, etc. using big data analytics to boost their revenue.  03/07/2016 Top 100 Hadoop Interview Questions and Answers 2016https://www.dezyre.com/article/top-100-hadoop-interview-questions-and-answers-2016/159 4/25 Enter your name here... Write your answer here... Here is an interesting video that explains how various industries are leveraging big data analysis to increasetheir revenue Hadoop Training- Top   10   industries   using  Big Data by ... 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 HuluSpotify 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. 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 partially intraditional database systems, for example, data in XML records can be referred to as semi structured data.Unorganized and raw data that cannot be categorized as semi structured or structured data is referred to asunstructured data. Facebook updates, Tweets on Twitter, Reviews, web logs, etc. are all examples 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 of large datasets. Data in HDFS is stored in the form of blocks and it operates on the Master Slave Architecture.
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