What type of database is best suited for performing complex queries and analyzing big data?

• A. Row-oriented database
• B. Column-oriented database
• C. Key-value store
• D. Document database

Answer: (B)

A column-oriented database is particularly well-suited for performing complex queries and analyzing big data due to how it stores data. In a column-oriented database, data is organized by columns rather than rows. This structure allows for more efficient querying, especially when only a few columns are needed for analysis, making it easier to perform aggregate functions and calculations.

For tasks that involve large datasets, such as data analytics and business intelligence applications, a column-oriented approach enables faster read performance and better compression of data since similar types of data are stored together. This is in contrast to row-oriented databases, which can be less efficient for these use cases, especially when dealing with sparse data where not all fields are populated in every record.

The other database types, such as key-value stores and document databases, also have their strengths, particularly in handling unstructured or semi-structured data, but they may not provide the same level of performance and optimization for complex queries typical in data analysis scenarios as a column-oriented database does.