Data encryption ensures that information remains secure by converting it into a format that can only be accessed with a decryption key.
Serverless computing allows developers to run applications without managing infrastructure, reducing costs and complexity.
Big Data is defined by the three Vs: Volume, Velocity, and Variety, which differentiate it from traditional data processing.
Cloud-based data lakes store vast amounts of structured and unstructured data for analysis, machine learning, and reporting.
Apache Hadoop is a leading framework for processing large datasets across distributed computing environments.
Cloud computing enables scalable, on-demand computing power and storage, making it cost-effective for analytics workloads.
