Preparing for Hadoop Interview? Here are a Few Predictable Questions

Big Data has been attested as one of the fastest growing technologies of this decade and thus potent enough to produce a large number of jobs. While enterprises across industrial stretch have started building teams, Hadoop technical interview questions could vary from simple definitions to critical case studies. Let’s take a quick glimpse of the most obvious ones.

#1 – What is Big Data?

Big Data refers to such gigantic set of data that has massive potential for mining but cannot be processed as such with traditional tools. However, any data cannot be classified as Big Data; only the set that has high volume, veracity and velocity can be qualified as such.

In order to draw meaning from such data, we need to utilize tools such as Hadoop.

For that to happen, one needs to undergo a relevant Training in Hadoop or any related software tool.

#2 – What do the four V’s of Big Data denote?

A fitting definition has been put forward by IBM:

1. Volume: Huge amount of data
2. Variety: A large variety of data
3. Veracity: Data that has inherent uncertainty
4. Velocity: Analysis of streaming data

#3 – How Big Data analysis helps businesses in increasing their revenue?

There are a lot of ways in which businesses can use Big Data analytics to their advantage. For instance, Wal-Mart, the biggest retailer in the world, uses predictive analytics for launching new products on the basis of customer needs and preferences.

The who’s who of global businesses – Facebook, LinkedIn, Twitter, Bank of America, and JP Morgan Chase and much more – use the same for boosting their revenue. Businesses and professionals interested in the utilization of the same can choose to learn Hadoop – the most popular tools in this regard.

#4 – Name some companies that use Hadoop?

• Yahoo (the top contributor with more than 80 percent of its code)
• Netflix
• Amazon
• Hulu
• Spotify
• Twitter
• Amazon

#5 – What is structured and unstructured data?

Structured data refers to such data that can be stored in traditional database systems in the form of columns and rows. On the other hand, unstructured data refers to data that can be stored only partially in traditional database systems.

#6 – On what concept the Hadoop framework works?

HDFS: Hadoop Distributed File System: This is a Java-based file system for reliable storage of large datasets

Hadoop MapReduce: This is Hadoop framework programming paradigm based on Java which provides scalability across various Hadoop clusters.

#7 – List the core components of Hadoop application

• Hadoop Common
• HDFS
• Hadoop MapReduce
• YARN
• Data Storage – Pig and Hive
• Data serialization components: Thrift and Avro

#8 – What is the best Hardware configuration to run Hadoop?

Dual core processor with 4GB or 8GB RAM, with ECC Memory. ECC memory is recommended as non-ECC memory is normally associated with configuration checksum errors.

#9 – What are various common input formats?

• Text input format – default input format
• Sequence file format
• Key value input format

One can develop a deep understanding of key Big Data concepts by opting for Training in Hadoop

#10 – Name some Hadoop tools that are required for working on Big Data.

Some such tools include Hive, HBase and Ambari and much more. Interested individuals should choose to learn Hadoop to get more information on the same.

These were some of the most common yet important Hadoop technical interview questions. A high-level understanding of a few real time case studies could help you sail through.

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