Big Data Interview Questions and Answers

Last updated on Feb 06, 2023
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Big Data Interview Questions

Big data is actually a field that finds ways to analyze and extract information systematically through data sets which are very large or intricate to be dealt with by conventional data processing application software. If you want to read more about Big Data interview questions for a job position in a similar field, feel free to scroll down and have a read.

In general, data sets with many cases or rows offer a much greater statistical power, meanwhile, the data presenting a higher probability of challenges i.e. more columns may lead to a higher false discovery rate. The most common Big Data solutions include capturing of data, data storing, data analytics, and much more.

If you don’t have time currently or maybe are not able to read the Top Big Data Questions and answers online, you can download the same in a PDF format that can be accessed offline without any difficulty.

Most Frequently Asked Big Data Interview Questions

Here in this article, we will be listing frequently asked Big Data Interview Questions and Answers with the belief that they will be helpful for you to gain higher marks. Also, to let you know that this article has been written under the guidance of industry professionals and covered all the current competencies.

Q11. What are the steps to deploy a big data solution ?
Answer

Here are the 4 steps to successfully deploy a working Big Data Solution:

  • Finding a quality source of Data as this is where the first step of any Big Data Solution starts.
  • Integration of the Data Sources and a method for storing the data.
  • After the integration and storage of data, analyzing the data is important through data models and analytics tools.
  • Finally, after analyzing the data, setting up a platform for Data Visualization and Reporting for quick decision making.

The current usage of the term Big Data almost all the time refer to the usage of predictive analytics, enhanced user behavior analytics, or even some other superior data analytics methodologies which are used in extracting values from data sets, and rarely to a particular size of data set.

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