Top 50 Interview Questions for Data Engineering

🔑Data engineering is a method of handling and working with data to convert raw data into useful information.

💡Structured data is organized in rows and columns, while unstructured data lacks a predefined structure.

⏱️Hadoop is an open-source framework used for handling big data and consists of components such as HDFS, YARN, and MapReduce.

🌐The 4 V's of big data are volume, veracity, velocity, and variety.

🔧Blocks and block scanner are important concepts in HDFS, where data is stored in blocks and the scanner verifies the integrity of the blocks.

What is data engineering?

—Data engineering is the method of handling and working with data to convert raw data into useful information.

What is the difference between structured and unstructured data?

—Structured data is organized in rows and columns, while unstructured data lacks a predefined structure.

What is Hadoop?

—Hadoop is an open-source framework used for handling big data and consists of components such as HDFS, YARN, and MapReduce.

What are the 4 V's of big data?

—The 4 V's of big data are volume, veracity, velocity, and variety.

What are blocks and block scanner in HDFS?

—Blocks are the smallest entities of data in HDFS, and block scanner is used to verify the integrity of the blocks.

00:00Introduction to the top 50 interview questions for data engineering.

01:34Data engineering is the method of handling and working with data to convert raw data into useful information.

04:35Structured data is organized in rows and columns, while unstructured data lacks a predefined structure.

05:56Hadoop is an open-source framework used for handling big data, consisting of components such as HDFS, YARN, and MapReduce.

09:49The 4 V's of big data are volume, veracity, velocity, and variety.

12:03Blocks are the smallest entities of data in HDFS, and block scanner is used to verify the integrity of the blocks.