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How are databases used in data analysis?
Databases are generally divided into linked data rows and non-linked database, linked database refers to the use of the linkage model to organize the data database, its rows and columns of the situation to store data, so that users can understand, linked database this series of rows and columns known as the table, a set of tables make up the database. That non-associative database is the generation of NoSQL is a very good solution to the large-scale data collection of multiple data varieties brought about by the challenges, especially the use of big data challenges. Contact database and non-contact database in the field of big data analytics can not be said to use a lot.

The first brief introduction to the advantages of non-connected databases? Easily scalable, large data volume, high functionality, database structure is simple. These strengths of the resolution of its scalability at the level of the architecture is very strong, read and write functions are also very high, especially the data between the unconnectedness, which is its difference from the most important features of the linked database.

Contact database is characterized by the storage method using the table method, white with a structured method of storing data, in order to avoid duplication, standardization of data and make full use of the storage space, the data in accordance with the situation of the smallest contact table for storage, so that the data management can become very clear and clear at a glance. At the same time, the contact type database only has the ability to expand vertically, the expansion of the space is also limited, so in the data analysis and data processing needs to pay special attention.

Alternatively, although the reliability of the linked database to store and process data is very good, but once faced with the massive data processing power will become very poor, especially when encountering high concurrency read and write function will decline, then in the face of the massive data for big data analysis, we must pay special attention to the process of reading and writing.

On how to apply the database in the data analysis, Aoto editor will share with you here. If you have a strong interest in big data engineering, I hope this article can help you. If you still want to know more about data analysts, big data engineers tips and materials, you can click on other articles on this site to learn.