Can you explain the project?

Question

Accepted Answer

Developed a scalable data pipeline for processing and analyzing large datasets using Apache Spark and Hadoop.

Utilized Apache Spark for real-time data processing, improving data ingestion speed by 40%.
Implemented Hadoop for distributed storage, allowing for efficient handling of petabyte-scale datasets.
Designed ETL processes to clean and transform raw data into structured formats for analysis.
Integrated machine learning models to predict trends based on historical data, enhancing decision-making.
Collaborated with cross-functional teams to ensure data quality and compliance with industry standards.

Accepted Answer

A big data project is the work of data analysis that uses a variety of very large raw data sets as the foundation for its anlysis.

Interview Questions Asked to Big Data Developer at Other Companies