Abzooba India Infotech Big Data Engineer Interview Questions, Process, and Tips

Big data refers to large volumes of structured and unstructured data that is too complex for traditional data processing applications.

• Big data involves massive amounts of data that cannot be easily managed or analyzed using traditional methods

• It includes structured data (like databases) and unstructured data (like social media posts)

• Examples include analyzing customer behavior on e-commerce websites, processing sensor ...read more

Technologies related to big data include Hadoop, Spark, Kafka, and NoSQL databases.

• Hadoop - Distributed storage and processing framework for big data

• Spark - In-memory data processing engine for big data analytics

• Kafka - Distributed streaming platform for handling real-time data feeds

• NoSQL databases - Non-relational databases for storing and retrieving large volumes of data

Data warehousing is the process of collecting, storing, and managing data from various sources for analysis and reporting.

• Data warehousing involves extracting data from multiple sources

• Data is transformed and loaded into a central repository

• Allows for complex queries and analysis to be performed on the data

• Examples include data warehouses like Amazon Redshift, Google BigQuery

Cloud in big data refers to using cloud computing services to store, manage, and analyze large volumes of data.

• Cloud computing allows for scalable and flexible storage of big data

• It provides on-demand access to computing resources for processing big data

• Examples include AWS, Google Cloud, and Microsoft Azure

Python is a versatile programming language used for various purposes including web development, data analysis, artificial intelligence, and automation.

• Python is used for web development with frameworks like Django and Flask.

• It is commonly used for data analysis and visualization with libraries like Pandas and Matplotlib.

• Python is popular in artificial intelligence and machine learning projects with libraries like Tenso...read more

Scala is a programming language that is used for building scalable and high-performance applications.

• Scala is used for developing applications that require high performance and scalability.

• It is often used in Big Data processing frameworks like Apache Spark.

• Scala combines object-oriented and functional programming paradigms.

• It is interoperable with Java, allowing developers to leverage existing Java libraries.

• Scala is ...read more