Hadoop is at the bull’s eye of a mushrooming ecosystem of big data technologies – its open source, and widely used for advanced analytics pursuits, such as predictive analytics, machine learning and data mining, amongst others. Hadoop is defined as a powerful open source distributed processing framework that’s ideal for processing of data and storing data for big data applications, running across clustered systems.
Below, we’ve put together a comprehensive list of interview questions with answers on Big Data Hadoop, focusing on the various aspects of the in-demand skill. For more, take up our intensive big data hadoop training in Gurgaon.
Big data analysis aids businesses in increasing their revenues and hitting notes of success. To explain further, let’s take an example, Walmart, one of the top notch retailers in the world uses big data analytics to increase the sales figure through improved predictive analytics tool, better customized recommendations and new set of products curated observing customer preferences and latest trends. Interestingly, it observed up to 15% increase in online sales for $1 billion in incremental revenue. Like Walmart, LinkedIn, JPMorgan Chase, Facebook, Twitter, Bank of America, Pandora, etc. follow suit.
Hadoop has a wide set of technologies that offers unique advantages for solving crucial challenges. Hadoop core components are given below:
Hadoop streaming is an additional utility function that accompanies Hadoop distribution. Hadoop distribution includes a standard application programming interface, which is used to write Map and Reduce jobs in a number of languages, such as Python, Ruby, Perl, etc. Hadoop streaming is this entire process – here, users can develop and run jobs with any type of shell scripts or executable as the Mappers or Reducers.
Structured data is referred as the data that can be stored in conventional database systems in the form of rows and columns – data, which is stored partially in traditional database systems, is known as semi-structured data – raw or unorganized data is generally termed as unstructured data.
Example of structured data – online purchase transactions
Example of semi-structured data – data in XML records
Example of unstructured data – Facebook & Twitter updates, web logs, reviews
Hope you found these Hadoop interview questions useful; to gain further insights on Big Data Hadoop, please enroll for our big data hadoop training courses – they are adequate and developed considering latest industry demands.
The blog has been sourced from — www.dezyre.com/article/top-100-hadoop-interview-questions-and-answers-2018/159
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