Question

There are many aggregation techniques have been developed for querying and analyzing complex data. Which technique is better for big data analysis?

A.OLAP (On-line Analytical Processing)
B. OLTP (On-line Transaction Processing)
C. LINQ to Object
D. LINQ to SQL

Answer 1

OLAP (On-line Analytical Processing) is the better technique for big data analysis. It provides fast, multidimensional analysis capabilities and allows users to query and analyze large volumes of data.

Step-by-step explanation:

In the context of big data analysis, the better technique is OLAP (On-line Analytical Processing). OLAP is specifically designed for analyzing large volumes of data and provides fast, multidimensional analysis capabilities. It allows users to query data from multiple dimensions and drill down into specific subsets of data for detailed analysis.

On the other hand, OLTP (On-line Transaction Processing) is more suitable for transactional processing, where the focus is on fast, real-time data processing and transaction management rather than complex analysis.

As for LINQ (Language Integrated Query), it is a programming language feature that allows querying data in a unified way. While both LINQ to Object and LINQ to SQL provide means for querying data, they are not specifically designed for big data analysis and may not offer the same performance and scalability as OLAP.