AVASOFT Interview Questions, Process, and Tips

Object-oriented programming (OOP) knowledge is an advantage but not necessary for a data engineer.

• OOP concepts like inheritance, encapsulation, and polymorphism can be useful in designing data models.

• OOP languages like Java and Python are commonly used in data engineering.

• Understanding OOP can help with debugging and maintaining code.

• However, OOP is not a requirement for data engineering and other programming paradigms

DB is a collection of data stored in an organized manner. RDBMS is a software used to manage relational databases. Normalization is a process of organizing data to minimize redundancy. Users and roles are used to manage access to the database.

• DB - collection of data stored in an organized manner

• RDBMS - software used to manage relational databases (e.g. MySQL, Oracle)

• Normalization - process of organizing data to minimiz...read more

There are three types of relationships between datasets in a database: one-to-one, one-to-many, and many-to-many.

• One-to-one: each record in one dataset is related to only one record in another dataset.

• One-to-many: each record in one dataset is related to one or more records in another dataset.

• Many-to-many: multiple records in one dataset are related to multiple records in another dataset.

• Examples: one-to-one - employee...read more

Normalization is the process of organizing data in a database to reduce redundancy and improve data integrity.

• Normalization helps to eliminate data redundancy and inconsistencies

• It ensures that each piece of data is stored in only one place

• It reduces the chances of data anomalies and inconsistencies

• Normalization is achieved through a series of steps called normal forms

• Examples of normalization include breaking down a c...read more