Sunday, September 19, 2021

27 Weird Big Data Interview Questions And Answers Will Help You To Make Your Future

Table of Contents

Introduction-

The vast volume of data – both structured and unstructured – that inundates a company on a daily basis is referred to as big data. But it’s not the quantity of data that counts. What matters is what organizations do with the data. Big data can be analyzed for information that contributes to better business decisions and strategic steps.

In this article, I am sharing 27 big data interview questions to get your next dream company.

big data interview questions
Big Data

Big Data interview questions and answers for freshers:

1.What do you know about Big Data?

Big Data is a concept that applies to complex and broad databases that traditional apps can’t manage. Big Data allows organizations to understand their processes and get valuable information from the unstructured and raw data they collect daily. Big Data also helps businesses to make more vital data-driven business decisions.

2.What are the advantages of Big Data for companies?

Big Data helps companies get a deeper understanding of their customers by allowing them to conclude from vast data sets collected. It assists them in making better choices.

3.What are the five V’s in Big Data?

  • Velocity
  • Value
  • Volume
  • Value
  • Veracity 

Big data interview questions for experienced:

4.Explain the concept of HDFS indexing.

Indexing in a distributed file system like HDFS differs from indexing in a local file system. The memory of the HDFS node where the data is stored is used to index and scan the data.

It saves the created index files in a folder in the same directory as the actual data. Searching is like searching in a local file system, but it is performed using a RAM directory object and a Memory index file.

The last part of the information stored on HDFS will contain information about the storage of the next part of the Block. Indexing in Hadoop is based on the block size.

5.What are the various strategies for dealing with Big Data?

Since Big Data provides a business with a competitive advantage over its rivals, a company may decide to use it to meet its needs and streamline its various business operations to meet its goals.

As a result, the approaches to coping with Big Data must be decided based on your business needs and available budgetary resources.

In Big Data processing methods, there are two options:

  • Batch processing
  • Stream processing

Big Data interview questions for Infosys:

6.What is the MapReduce processing system, and how does it work?

MapReduce is a programming model and software platform for processing large volumes of data. MapReduce software has two phases: Map and Reduce. Data is split and mapped in Map tasks, while data is shuffled and reduced in Reduce tasks.

Hadoop can run MapReduce programs written in several languages, including Java, Ruby, Python, and C++. Map Reduce programs in cloud computing are parallel in design, making them suitable for large-scale data processing across many machines in a cluster.

Each phase receives key-value pairs as input. Every programmer must define two functions: the map and the reduced function.

7.What are the many Big Data platforms available?

Big Data can be accessed via several platforms. Some of these are open-source, while others need a license.

Hadoop is the most popular open-source Big Data platform. The other choice is to use HPCC. HPCC means High-Performance Computing Cluster.

We have licensed Big Data platforms such as Cloudera(CDH), Hortonworks(HDP), and MapR(MDP).

Hadoop Big Data interview questions.

8.Tell us about the relationship between Big Data and Hadoop.

Hadoop and Big Data are almost similar concepts. Hadoop, a platform that specializes in Big Data operations.

9.Why is Hadoop important in Big Data?

Hadoop is an open-source software platform for storing and processing data on commodity hardware clusters. It has a lot of storage for any data, a lot of computing power, and it can handle practically infinite concurrent tasks or jobs.

Big Data interview questions for GeeksforGeeks:

10.What are the HDFS components?

HDFS comprises two major components:

  • Name Node
  • Data Node

11.What is a Name Node?

It stores the metadata information for all data blocks in the HDFS in the Name Node.

12.What is a Data Node?

Data Node mainly serves as a substitute node and is in charge of data storage.

 AWS Big Data interview questions 

13.What is Performance Validation, and how does it work?

Validation of output is the third and final step of big data testing. The production files are generated and ready to be submitted to an EDW (enterprise-level warehouse) or other arrangements depending on need. The operations in the third stage are as follows.

  • Testing to see if the transition rules are being followed correctly.
  •  Assessing data integration and efficient data loading into the relevant HDFS.
  •  Analysing the downloaded data from HDFS and the source data uploaded to ensure that the data is not corrupt.

14.What is the definition of data cleansing?

Data cleansing, also known as data scrubbing, is deleting incomplete, duplicated, or corrupted data. This method is used to improve data quality by removing errors and inconsistencies.

Talend Big Data interview questions:

15.What is Clustering, and how does it work?

Clustering is grouping similar objects into a set known as a cluster. In clustering, objects in one cluster are likely to differ from objects in another cluster. It is a technique used in statistical data analysis and one of the key tasks in data mining. Hierarchical, partitioning, density-based, and model-based are some terms used. These are some of the most widely used clustering techniques.

16.What is Clustering, and how does it work?

Clustering is the method of grouping related objects into a collection known as a cluster. When it comes to clustering, objects in one cluster are likely to be different from objects in another cluster. It is a method used in computational data processing and one of the critical tasks of data mining. Hierarchical, partitioning, density-based, and model-based are some terminology used. These are some of the most commonly used clustering techniques.

17.What is the meaning of Volume?

The amount of data generated by websites, portals, and online applications is referred to as Volume. For example, Users contribute billions of photos, posts, videos, tweets, and other forms of content every day. You can now visualize the vast amount -or Volume- of data generated every minute and hour.

TCS Big Data interview questions:

18.What is the meaning of Veracity?

The uncertainty of available data is referred to as Veracity. The lack of Veracity emerges because of the vast number of data available, which results in incompleteness and inconsistency.

19.What are the nodes in Oozie?

Action nodes and control-flow nodes make up an Oozie workflow.

A workflow task is represented by an action node, such as moving files into HDFS, running MapReduce, Pig, or Hive jobs, importing data with Sqoop, or running a Java program shell script.

A control-flow node manages the workflow between actions by allowing constructs such as conditional logic, which helps various branches be followed depending on the outcome of a previous action node.

Amazon Big Data interview questions:

20.What is the meaning of Value?

The term “value” refers to translating data into something useful. Businesses can generate revenue by translating big accessed data into values.

21.What is Combiner?

A Combiner, also known as a semi-reducer, is a class that accepts inputs from the Map class and then passes the output key-value pairs to the Reducer class.

A Combiner’s primary function is to summarise the map output records that have the same key. The combiner’s output (key-value collection) will be sent over the network as input to the actual Reducer task.

Big Data interview questions for Analytics:

22.How is big data analysis helpful in increasing business revenue?

For companies, big data analysis has become essential. This helps companies stay out of competition and increase sales. Big Data Analytics uses predictive analytics to provide targeted recommendations and advice to companies.

Big data analytics also helps companies launch new products based on consumer needs and expectations. For these reasons, companies are turning to big data analysis to maximize their sales.

23.What is the importance of big data analytics?

The most significant benefit of Big Data analysis is that it helps companies harness their data and find potential opportunities. Companies can make better business decisions, run more effectively, gain more money, and have happy customers because of this. To know more details about the importance of big data on social media click here, How Big Data Is Impacting On Social Media In 2021

Big Data interview questions for Engineers:

24.What is the meaning of Variety?

Big Data variety refers to both structured and unstructured data that humans or machines can generate. It describes variety as the ability to categorize incoming data into different categories.

25.What exactly is fsck?

Fsck means File System Search. HDFS makes use of this command. This command is used to search for inconsistencies and to see if the file has any problems. This command, for example, notifies HDFS if there are any missing blocks for a file.

Big Data interview questions for Testing:

26.In Hadoop Big Data, what do we test?

When it comes to processing vast volumes of data, performance, and functional testing are the most important considerations. Testing is not an analysis of traditional software functionality, but a validation of the project’s data processing capabilities.

27.What approaches are used to determine data quality?

With big data research, data quality is just as critical as processing capability. Before testing, it is essential to ensure data quality, which will be part of the database review. It includes testing for things like conformity, perfection, repetition, reliability, validity, and data completeness.

Conclusion-

As the Big Data world continues to evolve, a bunch of new opportunities for Big Data practitioners emerge. This extensive collection of Big Data interview questions and answers will certainly assist you throughout your interview. By taking the reference from this article, you can prepare for your interview.

27 Weird Big Data Interview Questions And Answers Will Help You To Make Your Future

I am pursuing an MCA (MASTER OF COMPUTER APPLICATION) from IGNOU. I did my BSc honors degree from Kanpur University. I also have a certificate of “fundamental of digital marketing” by Google and “fundamental of remote sensing” by IIRS. I am keenly interested in the Data Science and data analytics field. That is why I write articles on this kind of topic. I have been working as a blogger for Edu Data Online web since January 2021.

Recent Articles

Hands on: Beats PowerBeats Pro review

In May, Uber launched a new experiment: selling train and bus tickets through its app for its customers in Denver, Colorado. Today, the company...

New standalone app for macOS to be Like iTunes

In May, Uber launched a new experiment: selling train and bus tickets through its app for its customers in Denver, Colorado. Today, the company...

NASA spacecraft to collide a small moonlet in 2022

In May, Uber launched a new experiment: selling train and bus tickets through its app for its customers in Denver, Colorado. Today, the company...

The Google Nest Hub Max soups up the smart display

In May, Uber launched a new experiment: selling train and bus tickets through its app for its customers in Denver, Colorado. Today, the company...

Foldable iPhone 2020 release date rumours & patents

In May, Uber launched a new experiment: selling train and bus tickets through its app for its customers in Denver, Colorado. Today, the company...
27 Weird Big Data Interview Questions And Answers Will Help You To Make Your Future

Related Stories

Leave A Reply

Please enter your comment!
Please enter your name here

Stay on op - Ge the daily news in your inbox

I am pursuing an MCA (MASTER OF COMPUTER APPLICATION) from IGNOU. I did my BSc honors degree from Kanpur University. I also have a certificate of “fundamental of digital marketing” by Google and “fundamental of remote sensing” by IIRS. I am keenly interested in the Data Science and data analytics field. That is why I write articles on this kind of topic. I have been working as a blogger for Edu Data Online web since January 2021.