Fundamentals of working with Big Data in Databases

This article examines the key aspects of working with big data in databases, including their characteristics, architectures, and processing technologies. It analyzes modern solutions such as distributed computing (Hadoop, Spark), NoSQL databases (MongoDB, Cassandra, Redis), and relational DBMS (SQL Server, Oracle, PostgreSQL) that are adapted for handling big data. The significance of the optimization methods, such as indexing, partitioning, and compression, is emphasized, particularly the role played by security controls, such as encryption, access control, and monitoring. The emphasis is on integration of the big data with analytical tools with a scalability and high performance orientation.