Could you explain the benefits of utilizing Hadoop in Big Data analytics, and how does it contribute to comprehensive data analysis?

Hadoop is a powerful tool used in handling Big Data analytics. Here are some of the benefits of using Hadoop in Big Data analytics:

1. Handling Large Volumes of Data: Hadoop is designed to scale up from a single server to thousands of machines, each offering local computation and storage. This makes it capable of handling large volumes of structured and unstructured data more efficiently than traditional databases.

2. Cost-Effective: Hadoop provides a cost-effective storage solution for businesses' exploding data sets. The problem with traditional relational database management systems is that it is extremely cost-prohibitive to scale up to capture, process, and analyze massive data. But Hadoop is designed as a scale-out architecture that can affordably store all of a company’s data for later use.

3. Flexibility: Unlike traditional relational databases, you don’t have to preprocess data before storing it. You can store as much data as you want and decide how to use it later. This includes unstructured data like text, images, and videos.

4. Resilience to Failure: A key advantage of using Hadoop is its fault tolerance. When data is sent to an individual node, that data is also replicated to other nodes in the cluster, which means that in the event of failure, there is another copy available for use.

5. Speed: Hadoop's storage method is based on a distributed file system that essentially 'maps' data wherever it is located on a cluster. The tools for data processing are often on the same servers where the data is located, resulting in much faster data processing times.

Hadoop contributes to comprehensive data analysis by allowing analysts to access new sources of data, both structured and unstructured, to generate value from that data. It allows a business to analyze the data in real-time, leading to more efficient decision-making. It also allows for historical analysis of data, which can reveal trends over time. This can lead to better predictions and more strategic decision-making for the business.