20 Best Big Data Interview Questions & Answers

20 Best Big Data Interview Questions & Answers

The Questions That You May Be Asked During Big Data Interview

Is it that you are going to sit for a Big Data interview? Then you must be quite tensed thinking about the Big Data Interview Questions. It is for sure that before any nature of the interview we become tense. There are various factors for this nervousness. The biggest factor is that will we be able to be successful in the interview and have the job. In order to be successful, we must be prepared for the interview. In order to be prepared let us see at some of the questions which may be asked during the interview. It is definitely not possible to cover all but if you continue reading you will be able to know almost all those natures of questions that are asked.

What is Big Data?

This may be the first question of all the Big Data Interview Questions that you are asked. The answer is quite simple and you must know the answer. But then also to be certain the answer will be that those data which are such that they are huge and complex that they become very tiresome to confine, stock up, practice, recover and analyze with the generally used tools that we use.

You must know the answer but it is sure that now know in a compact manner.

Tell some of the practical usages of Big data?

Do you know of any practical usage? Definitely, you must know but to be sure let us see the answer that you should be giving to the interviewer. Facebook is one such example that uses Big Data. Facebook produces 500+ terabytes of data every day. Another example of such data usage is made by NYSE, this particular institute produces 1 terabyte of new data every day. If you look at any jet airlines then you will see that for every 30 minutes of flight it captures 10 terabytes of data.

It is sufficient if you say this much. The interviewer will understand that you know about the daily usage of Big Data.

Can you explain the 5 V’s that are related to Big Data?

The five V’s that are attached with Bog data are:

  • Volume: It represents the quantity of data that is ever-expanding at an amazing rate in Petabytes and Exabytes.
  • Velocity: It is the fast rate at which these data increases. It is such a rate that if you think today then the data that you had yesterday is obsolete. It is also seen that social media is the biggest contributor to such data.
  • Variety: These data are in various formats or varieties. They may be in the format of videos, CSV or audios. It may be in any other kind of format also.
  • Veracity: It is the doubt that is related to this nature of data. This happens due to the inconsistency and the incompleteness of the data. You cannot believe in the data sometimes and that is what is all about veracity.
  • Value: It is useless to have such data unless we can have trust with it. That is what value is all about.

So, what do you feel now about the answer to this question? You must be confident that you will be able to answer it.

How does the analysis of Big Data help an organization?

If you are confused then you must read and know the proper answer. The answer is given in a compact form so that you can represent that accurately in front of the interviewer. The answer is pretty simple. If the analysis is properly made there are various advantages that an organization gets. The advantages are:

  • They get to know where and what to focus.
  • The analysis of Big Data provides indications which help companies to abstain from having a big loss and also make an opportunity so that they can get hold of a great job.
  • The analysis helps to make decisions. Like people nowadays rely on Facebook and Twitter before buying any product.

What is the difference between structured data and unstructured data?

This may be the next question amongst the Big Data Interview Questions that you may be asked. Let us see the answer.

  • Structured data: Structured data can be designated as that data that is well shaped which has labels, and by the usage of those labels these nature of data can be used. The practical examples are the excel sheet. The dealing out of these natures of data is not so much complicated.
  • Unstructured data: Unstructured data can be established as those data which are available to us not in any particular arrangement and is in a haphazard order. Also, these natures of data don’t include labels. We can see such data in forms of images, videos, and weblogs.

So, now you should be in a shape that you can represent this answer in front of the interviewer.

What are the industries where Big Data is used?

This may be the next question that is shooting at you.  The answer though seems to be difficult is not quite so. Roughly every business has integrated big data for their occupation. Some are there who are still figuring out its recompense and it can easily be said that they will also soon work with Big Data. Below are some industrial sectors which use Big data: So below are some of the industries in which big data is playing a major role:

  • Healthcare
  • Banking
  • Education
  • Insurance

There is much more.

From where does Big data come from?

This may be the question that you are asked. You may be thinking that how should you know from where Big Data comes from. But definitely that should not be the answer or you should not say so. The answer is made clear over here. Just read and understand.

There are basically three sources of Big Data they are social data, machine data, and transaction data.

  • Social data appears from social media and the various comments that customers put over there.
  • Machine data are those which are real-time data and are created by the sensors and weblogs that trail consumer behavior using online means
  • Transaction data is that which is generated by large sellers and B2B companies on a recurrent basis

So, now you can understand that every question that is asked has a proper answer and you must say that.

Do you know the job role of Job Tracker? If yes then explain.

  • This may be the next one which you are asked. The answer is simple but it should be answered in sequence so that the role can be explained at the same time.
  • The job roles of Job Tracker are the following:
  • It accepts works from customers
  • As it accepts the job it establishes a communication with the Name node to determine where the data is located.
  • It then tries to find out which Task Tracker node has available slots
  • It then allocates the job to that particular Task Tracker Node and also determines the progress of the job as it is done.

How is Big Data and IoT interrelated?

This may be the next question which is asked by the interviewer. Do you know the answer? If not then continue reading and you will be able to answer it.

Big Data and the IoT are intrinsically concurrent to one another. Because all stuff in the IoT is elegant devices associated with the Internet, they are continually collecting custom data, which can then be used to find out a trend, inefficiencies, etc. The solutions shaped from these findings can be utilized to get better operation across all the areas of daily life.

What are the best Big data tools that you can use?

This may be the next to the question that is asked from the set of Big Data Interview Questions. The answer is as follows.

Taking benefit of all that Big Data has to proffer can appear like an intimidating task, but you can find a number of tools that can help businesses to gather, stock up, analyze and get insight from Big Data. Here are just a few…

  • OpenRefine
  • WolframAlpha
  • io
  • Tableau
  • Google Fusion Tables

What is the future of Big Data?

Are you puzzled after hearing the question? There is nothing to be puzzled about, let us see the answer to this question. There is a rapid development of technology especially in the learning space so it is difficult to predict. But it can be certain to say that Big data is going to stay for some time. Big data is sure to touch almost all industries that we know and change the way that we generally do our work.

Explain the relationship that is between job and task?

  • You may be thinking they both are similar. No, they are not in Hadoop. A job in Hadoop is divided into parts which are called tasks.
  • There may be lots of questions that can be asked in such an interview. But these are the ones which are the ones which are generally asked.

Do you know the job role of Job Tracker? If yes then explain.

  • This may be the next one which you are asked. The answer is simple but it should be answered in sequence so that the role can be explained at the same time.
  • The job roles of Job Tracker are the following:
  • It accepts works from customers
  • As it accepts the job it establishes a communication with the Name node to determine where the data is located.
  • It then tries to find out which Task Tracker node has available slots
  • It then allocates the job to that particular Task Tracker Node and also determines the progress of the job as it is done.

What are the core methods that are used in reducers?

This may be the next bombshell that the interviewer explodes. But as you are here be rest assured that you will be well shielded by knowing the right answer.

The three core methods of a Reducer are:

  • Setup
  • Reduce
  • Cleanup

Explain the usage of Hcatalog?

By using this methodology you can share data with external systems. It gives access to the Hive meta store and other related tools so that data can be written on the data warehouse.

I think the concept is clear in your mind and you can be able to convenience the interviewer about this.

Explain distributed cache?

  • This is the facility that is provided by the Map-Reduce feature. It is that which makes available the files that are needed to work upon at the time when a job is executed.

Explain the relationship that is between job and task?

  • You may be thinking they both are similar. No, they are not in Big data. A job in Hadoop is divided into parts which are called tasks.

Do you know the job role of Job Tracker? If yes then explain.

  • This may be the next one which you are asked. The answer is simple but it should be answered in sequence so that the role can be explained at the same time.
  • The job roles of Job Tracker are the following:
  • It accepts works from customers
  • As it accepts the job it establishes a communication with the Name node to determine where the data is located.
  • It then tries to find out which Task Tracker node has available slots
  • It then allocates the job to that particular Task Tracker Node and also determines the progress of the job as it is done.

What is the comparison between HDFS and NAS?

  • Another bombshell, are you looking at this question in this manner. There is nothing to worry about just continuing reading and you will understand what you need to answer. First, you have to explain HDFS and NAS and then you can compare the features that they are made of.
  • NAS is a data storage server that is connected to a network of computers that enables the assorted group of clientele access to data. This can be hardware and also can be software. Now HDFS which is a file system distributed in nature and it stores the required data in commodity hardware.
  • Data stored in HDFS is distributed along all the computers that are in the network while in NAS the storage is made in hardware is specially dedicated for this purpose.
  • Both of them work using MapReduce Program but in HDFS computation is associated with the data and in NAS the data is kept separate from the computation.
  • HDFS is cost-effective as there is the usage of commodity hardware but NAS is costly comparatively as it uses a dedicated server for this purpose.
  • I think after reading this answer you can clearly explain to your interviewer why you should be the one who should be given the job and no one else.

When to use Hive?

Thinking what to answer. There is nothing to think here is the answer that you need to make.

  • Hive is helpful when the creation of data warehouse applications are involved
  • It is helpful if you are working with stationary data as a substitute for active data
  • If you are working with data that is of high latency then also you will find the hive to be useful.
  • If you have to maintain a data set which is large then you require a Hive.
  • If you are utilizing queries in place of scripting then you must be using Hive. When we are using queries instead of scripting

There might be loads of inquiries that can be asked in such a meeting. However, these are the ones which are the ones which are for the most part inquired.

Being set up with such sort of Big Data Interview Questions you will have the vital certainty and outlook so that you are the person who will definitely be chosen for the job. Attempt to confront the questioner with the level of certainty so they feel that you thoroughly understand Big Data. While answering a solitary question give the appropriate response in such a frame, to the point that all is clarified about that question.

There is definitely am uncertainty with an interview but you will find very few who goes to an interview after making so much of homework. You are one of those who has done so. This certainly will bring the needed confidence in you which should reflect in the answer that you give. Never show your nervousness to the interviewer or else they will think that you are not suitable for the job.

In this way, accept the next opportunity that you get to appear for an interview and crack that. I am certain that you will be able to do so if you have read this properly.

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