Interview Questions
« Previous | 0 | 1 | 2 | 3 | 4 | Next »

1.What is Hadoop?

Hadoop is free java based programming framework. It supports big data processing with distributed computing environment.

2.Who is the provider of Hadoop?

Hadoop forms part of Apache project provided by Apache Software Foundation.

3.What is the use of Hadoop?

With Hadoop the user can run applications on the systems that have thousands of nodes spreading through innumerable terabytes. Rapid data processing and transfer among nodes helps uninterrupted operation even when a node fails preventing system failure.

4.What are the operating systems on which Hadoop works?

Windows and Linux are the preferred operating system though Hadoop can work on OS x and BSD.

5.What is meant by Big Data?

Big Data refers to assortment of huge amount of data which is difficult capturing, storing, processing or reprieving. Traditional database management tools cannot handle them but Hadoop can

6.Can you indicate Big Data examples?

Facebook alone generates more than 500 terabytes of data daily whereas many other organizations like Jet Air and Stock Exchange Market generates 1+ terabytes of data every hour. These are Big Data.

7.What are major characteristics of Big Data?

The three characteristics of Big Data are volume, velocity, and veracity. Earlier it was assessed in megabytes and gigabytes but now the assessment is made in terabytes.

8.What is the use of Big Data Analysis for an enterprise?

Analysis of Big Data identifies the problem and focus points in an enterprise. It can prevent big losses and make profits helping the entrepreneurs take informed decision.

9.What are the characteristics of data scientists?

Data scientists analyze data and provide solutions for business problems. They are gradually replacing business and data analysts.

10.What are the basic characteristics of Hadoop?

Written in Java, Hadoop framework has the capability of solving issues involving Big Data analysis. Its programming model is based on Google Mapreduce and infrastructure is based on Google’s Big Data and distributed file systems. Hadoop is scalable and more nodes can be added to it.

11.Which are the major players on the web that uses Hadoop?

Introduce in 2002 by Doug Cutting, Hadoop was used in Google MapReduce and HDFS project in 2004 and 2006. Yahoo and Facebook adopted it in 2008 and 2009 respectively. Major commercial enterprises using Hadoop include EMC, Hortonworks, Cloudera, MaOR, Twitter, EBay, and Amazon among others.

12.How is Hadoop different from traditional RDBMS?

RDBMS can be useful for single files and short data whereas Hadoop is useful for handling Big Data in one shot.

13.What are the main components of Hadoop?

Main components of Hadoop are HDFS used to store large databases and MapReduce used to analyze them.

14.What is HDFS?

HDFS is filing system use to store large data files. It handles streaming data and running clusters on the commodity hardware.

15.What are the main features of HDFS?

Great fault tolerance, high throughput, suitability for handling large data sets, and streaming access to file system data are the main features of HDFS. It can be built with commodity hardware.

16.Why replication is pursued in HDFS though it may cause data redundancy?

Systems with average configuration are vulnerable to crash at any time. HDFS replicates and stores data at three different locations that makes the system highly fault tolerant. If data at one location becomes corrupt and is inaccessible it can be retrieved from another location.

17.Would the calculations made on one node be replicated to others in HDFS?

No! The calculation would be made on the original node only. In case the node fails then only the master node would replicate the calculation on to a second node

18.What is meant by streaming access?

HDFS works on the principle of “write once, read many” and the focus is on fast and accurate data retrieval. Steaming access refers to reading the complete data instead of retrieving single record from the database

19.What is meant by ‘commodity hardware’? Can Hadoop work on them?

Average and non-expensive systems are known as commodity hardware and Hadoop can be installed on any of them. Hadoop does not require high end hardware to function.

20.Which one is the master node in HDFS? Can it be commodity?

Name node is the master node in HDFS and job tracker runs on it. The node contains metadata and works as high availability machine and single pint of failure in HDFS. It cannot be commodity as the entire HDFS works on it.

« Previous | 0 | 1 | 2 | 3 | 4 | Next »


copyright © 2014 - all rights riserved by javatechnologycenter.com