Hadoop helps manage and analyze arrays of information, prepare it for uploading to other services, and collect statistics.
Hadoop is best suited to work with unstructured data, i.e., unordered information without a certain structure, which is difficult to classify and categorize into groups. For example, with documents, messages, audio and video recordings, and images.
The system can search for the necessary information in a vast archive and get a small amount of meaningful information. For example, count unique users in traffic from millions of IP addresses.
Hadoop consists of several tools. In particular, a file database and ready-made solutions for their processing. Its key advantages are:
- Storage and fast processing of any data. Hadoop can be configured to process information from all company Internet and social media sites, customer service systems, industrial sites and sensors, financial reports, and other sources. Data archives in Hadoop are arranged to be accessed as soon as they are needed.
- High computing power. This is why Hadoop processes data quickly. The power depends on the number of computing nodes.
- Fault tolerance. In case of hardware failure, for example, if a node fails, the data will go to another node, eliminating errors. Copies of the data are automatically stored in the system.
- There is no need to process the data before saving it.
- Scalability. You can add more nodes if the data volume increases.